From 72e946a0319ef3e74a839bd7abe99fd399b29e6b Mon Sep 17 00:00:00 2001 From: Alexander Puck Neuwirth Date: Sun, 26 Nov 2023 23:55:14 +0100 Subject: [PATCH] Add json version data to docs --- docs/version-specific/supported-software.json | 147265 +++++++++++++++ .../update-version-specific-docs.sh | 1 + 2 files changed, 147266 insertions(+) create mode 100644 docs/version-specific/supported-software.json diff --git a/docs/version-specific/supported-software.json b/docs/version-specific/supported-software.json new file mode 100644 index 000000000..36a6be05f --- /dev/null +++ b/docs/version-specific/supported-software.json @@ -0,0 +1,147265 @@ +[ +{ + "toolchain": "GCCcore/8.2.0", + "description": "3D de novo assembly (3D DNA) pipeline", + "homepage": "https://github.com/theaidenlab/3d-dna", + "version": "180922", + "versionsuffix": "-Python-2.7.15", + "name": "3d-dna" +}, +{ + "toolchain": "foss/2016b", + "description": "lib3to2 is a set of fixers that are intended to backport code 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Bowtie 2 supports gapped, local, and paired-end alignment modes.", + "homepage": "http://bowtie-bio.sourceforge.net/bowtie2/index.shtml", + "version": "2.2.9", + "versionsuffix": "", + "name": "Bowtie2" +}, +{ + "toolchain": "intel/2016b", + "description": "Bowtie 2 is an ultrafast and memory-efficient tool for aligning sequencing reads to long reference sequences. It is particularly good at aligning reads of about 50 up to 100s or 1,000s of characters, and particularly good at aligning to relatively long (e.g. mammalian) genomes. Bowtie 2 indexes the genome with an FM Index to keep its memory footprint small: for the human genome, its memory footprint is typically around 3.2 GB. Bowtie 2 supports gapped, local, and paired-end alignment modes.", + "homepage": "http://bowtie-bio.sourceforge.net/bowtie2/index.shtml", + "version": "2.2.9", + "versionsuffix": "", + "name": "Bowtie2" +}, +{ + "toolchain": "foss/2016b", + "description": "Bowtie 2 is an ultrafast and memory-efficient tool for aligning sequencing reads to long reference sequences. It is particularly good at aligning reads of about 50 up to 100s or 1,000s of characters, and particularly good at aligning to relatively long (e.g. mammalian) genomes. Bowtie 2 indexes the genome with an FM Index to keep its memory footprint small: for the human genome, its memory footprint is typically around 3.2 GB. Bowtie 2 supports gapped, local, and paired-end alignment modes.", + "homepage": "http://bowtie-bio.sourceforge.net/bowtie2/index.shtml", + "version": "2.3.2", + "versionsuffix": "", + "name": "Bowtie2" +}, +{ + "toolchain": "foss/2017a", + "description": "Bowtie 2 is an ultrafast and memory-efficient tool for aligning sequencing reads to long reference sequences. It is particularly good at aligning reads of about 50 up to 100s or 1,000s of characters, and particularly good at aligning to relatively long (e.g. mammalian) genomes. Bowtie 2 indexes the genome with an FM Index to keep its memory footprint small: for the human genome, its memory footprint is typically around 3.2 GB. Bowtie 2 supports gapped, local, and paired-end alignment modes.", + "homepage": "http://bowtie-bio.sourceforge.net/bowtie2/index.shtml", + "version": "2.3.2", + "versionsuffix": "", + "name": "Bowtie2" +}, +{ + "toolchain": "intel/2017a", + "description": "Bowtie 2 is an ultrafast and memory-efficient tool for aligning sequencing reads to long reference sequences. It is particularly good at aligning reads of about 50 up to 100s or 1,000s of characters, and particularly good at aligning to relatively long (e.g. mammalian) genomes. Bowtie 2 indexes the genome with an FM Index to keep its memory footprint small: for the human genome, its memory footprint is typically around 3.2 GB. Bowtie 2 supports gapped, local, and paired-end alignment modes.", + "homepage": "http://bowtie-bio.sourceforge.net/bowtie2/index.shtml", + "version": "2.3.2", + "versionsuffix": "", + "name": "Bowtie2" +}, +{ + "toolchain": "intel/2017b", + "description": "Bowtie 2 is an ultrafast and memory-efficient tool for aligning sequencing reads to long reference sequences. It is particularly good at aligning reads of about 50 up to 100s or 1,000s of characters, and particularly good at aligning to relatively long (e.g. mammalian) genomes. Bowtie 2 indexes the genome with an FM Index to keep its memory footprint small: for the human genome, its memory footprint is typically around 3.2 GB. Bowtie 2 supports gapped, local, and paired-end alignment modes.", + "homepage": "http://bowtie-bio.sourceforge.net/bowtie2/index.shtml", + "version": "2.3.3.1", + "versionsuffix": "", + "name": "Bowtie2" +}, +{ + "toolchain": "intel/2017b", + "description": "Bowtie 2 is an ultrafast and memory-efficient tool for aligning sequencing reads to long reference sequences. It is particularly good at aligning reads of about 50 up to 100s or 1,000s of characters, and particularly good at aligning to relatively long (e.g. mammalian) genomes. Bowtie 2 indexes the genome with an FM Index to keep its memory footprint small: for the human genome, its memory footprint is typically around 3.2 GB. Bowtie 2 supports gapped, local, and paired-end alignment modes.", + "homepage": "http://bowtie-bio.sourceforge.net/bowtie2/index.shtml", + "version": "2.3.4", + "versionsuffix": "", + "name": "Bowtie2" +}, +{ + "toolchain": "foss/2017b", + "description": "Bowtie 2 is an ultrafast and memory-efficient tool for aligning sequencing reads to long reference sequences. It is particularly good at aligning reads of about 50 up to 100s or 1,000s of characters, and particularly good at aligning to relatively long (e.g. mammalian) genomes. Bowtie 2 indexes the genome with an FM Index to keep its memory footprint small: for the human genome, its memory footprint is typically around 3.2 GB. Bowtie 2 supports gapped, local, and paired-end alignment modes.", + "homepage": "http://bowtie-bio.sourceforge.net/bowtie2/index.shtml", + "version": "2.3.4.1", + "versionsuffix": "", + "name": "Bowtie2" +}, +{ + "toolchain": "intel/2017b", + "description": "Bowtie 2 is an ultrafast and memory-efficient tool for aligning sequencing reads to long reference sequences. It is particularly good at aligning reads of about 50 up to 100s or 1,000s of characters, and particularly good at aligning to relatively long (e.g. mammalian) genomes. Bowtie 2 indexes the genome with an FM Index to keep its memory footprint small: for the human genome, its memory footprint is typically around 3.2 GB. Bowtie 2 supports gapped, local, and paired-end alignment modes.", + "homepage": "http://bowtie-bio.sourceforge.net/bowtie2/index.shtml", + "version": "2.3.4.1", + "versionsuffix": "", + "name": "Bowtie2" +}, +{ + "toolchain": "intel/2018a", + "description": "Bowtie 2 is an ultrafast and memory-efficient tool for aligning sequencing reads to long reference sequences. It is particularly good at aligning reads of about 50 up to 100s or 1,000s of characters, and particularly good at aligning to relatively long (e.g. mammalian) genomes. Bowtie 2 indexes the genome with an FM Index to keep its memory footprint small: for the human genome, its memory footprint is typically around 3.2 GB. Bowtie 2 supports gapped, local, and paired-end alignment modes.", + "homepage": "http://bowtie-bio.sourceforge.net/bowtie2/index.shtml", + "version": "2.3.4.1", + "versionsuffix": "", + "name": "Bowtie2" +}, +{ + "toolchain": "foss/2018b", + "description": "Bowtie 2 is an ultrafast and memory-efficient tool for aligning sequencing reads to long reference sequences. It is particularly good at aligning reads of about 50 up to 100s or 1,000s of characters, and particularly good at aligning to relatively long (e.g. mammalian) genomes. Bowtie 2 indexes the genome with an FM Index to keep its memory footprint small: for the human genome, its memory footprint is typically around 3.2 GB. Bowtie 2 supports gapped, local, and paired-end alignment modes.", + "homepage": "http://bowtie-bio.sourceforge.net/bowtie2/index.shtml", + "version": "2.3.4.2", + "versionsuffix": "", + "name": "Bowtie2" +}, +{ + "toolchain": "intel/2018b", + "description": "Bowtie 2 is an ultrafast and memory-efficient tool for aligning sequencing reads to long reference sequences. It is particularly good at aligning reads of about 50 up to 100s or 1,000s of characters, and particularly good at aligning to relatively long (e.g. mammalian) genomes. Bowtie 2 indexes the genome with an FM Index to keep its memory footprint small: for the human genome, its memory footprint is typically around 3.2 GB. Bowtie 2 supports gapped, local, and paired-end alignment modes.", + "homepage": "http://bowtie-bio.sourceforge.net/bowtie2/index.shtml", + "version": "2.3.4.2", + "versionsuffix": "", + "name": "Bowtie2" +}, +{ + "toolchain": "foss/2017b", + "description": "Bowtie 2 is an ultrafast and memory-efficient tool for aligning sequencing reads to long reference sequences. It is particularly good at aligning reads of about 50 up to 100s or 1,000s of characters, and particularly good at aligning to relatively long (e.g. mammalian) genomes. Bowtie 2 indexes the genome with an FM Index to keep its memory footprint small: for the human genome, its memory footprint is typically around 3.2 GB. Bowtie 2 supports gapped, local, and paired-end alignment modes.", + "homepage": "http://bowtie-bio.sourceforge.net/bowtie2/index.shtml", + "version": "2.3.4.3", + "versionsuffix": "", + "name": "Bowtie2" +}, +{ + "toolchain": "GCC/8.2.0-2.31.1", + "description": "Bowtie 2 is an ultrafast and memory-efficient tool for aligning sequencing reads to long reference sequences. It is particularly good at aligning reads of about 50 up to 100s or 1,000s of characters, and particularly good at aligning to relatively long (e.g. mammalian) genomes. Bowtie 2 indexes the genome with an FM Index to keep its memory footprint small: for the human genome, its memory footprint is typically around 3.2 GB. Bowtie 2 supports gapped, local, and paired-end alignment modes.", + "homepage": "http://bowtie-bio.sourceforge.net/bowtie2/index.shtml", + "version": "2.3.5.1", + "versionsuffix": "", + "name": "Bowtie2" +}, +{ + "toolchain": "GCC/8.3.0", + "description": "Bowtie 2 is an ultrafast and memory-efficient tool for aligning sequencing reads to long reference sequences. It is particularly good at aligning reads of about 50 up to 100s or 1,000s of characters, and particularly good at aligning to relatively long (e.g. mammalian) genomes. Bowtie 2 indexes the genome with an FM Index to keep its memory footprint small: for the human genome, its memory footprint is typically around 3.2 GB. Bowtie 2 supports gapped, local, and paired-end alignment modes.", + "homepage": "http://bowtie-bio.sourceforge.net/bowtie2/index.shtml", + "version": "2.3.5.1", + "versionsuffix": "", + "name": "Bowtie2" +}, +{ + "toolchain": "iccifort/2019.1.144-GCC-8.2.0-2.31.1", + "description": "Bowtie 2 is an ultrafast and memory-efficient tool for aligning sequencing reads to long reference sequences. It is particularly good at aligning reads of about 50 up to 100s or 1,000s of characters, and particularly good at aligning to relatively long (e.g. mammalian) genomes. Bowtie 2 indexes the genome with an FM Index to keep its memory footprint small: for the human genome, its memory footprint is typically around 3.2 GB. Bowtie 2 supports gapped, local, and paired-end alignment modes.", + "homepage": "http://bowtie-bio.sourceforge.net/bowtie2/index.shtml", + "version": "2.3.5.1", + "versionsuffix": "", + "name": "Bowtie2" +}, +{ + "toolchain": "iccifort/2019.5.281", + "description": "Bowtie 2 is an ultrafast and memory-efficient tool for aligning sequencing reads to long reference sequences. It is particularly good at aligning reads of about 50 up to 100s or 1,000s of characters, and particularly good at aligning to relatively long (e.g. mammalian) genomes. Bowtie 2 indexes the genome with an FM Index to keep its memory footprint small: for the human genome, its memory footprint is typically around 3.2 GB. Bowtie 2 supports gapped, local, and paired-end alignment modes.", + "homepage": "http://bowtie-bio.sourceforge.net/bowtie2/index.shtml", + "version": "2.3.5.1", + "versionsuffix": "", + "name": "Bowtie2" +}, +{ + "toolchain": "GCC/9.3.0", + "description": "Bowtie 2 is an ultrafast and memory-efficient tool for aligning sequencing reads to long reference sequences. It is particularly good at aligning reads of about 50 up to 100s or 1,000s of characters, and particularly good at aligning to relatively long (e.g. mammalian) genomes. Bowtie 2 indexes the genome with an FM Index to keep its memory footprint small: for the human genome, its memory footprint is typically around 3.2 GB. Bowtie 2 supports gapped, local, and paired-end alignment modes.", + "homepage": "http://bowtie-bio.sourceforge.net/bowtie2/index.shtml", + "version": "2.4.1", + "versionsuffix": "", + "name": "Bowtie2" +}, +{ + "toolchain": "GCC/10.2.0", + "description": "Bowtie 2 is an ultrafast and memory-efficient tool for aligning sequencing reads to long reference sequences. It is particularly good at aligning reads of about 50 up to 100s or 1,000s of characters, and particularly good at aligning to relatively long (e.g. mammalian) genomes. Bowtie 2 indexes the genome with an FM Index to keep its memory footprint small: for the human genome, its memory footprint is typically around 3.2 GB. Bowtie 2 supports gapped, local, and paired-end alignment modes.", + "homepage": "http://bowtie-bio.sourceforge.net/bowtie2/index.shtml", + "version": "2.4.2", + "versionsuffix": "", + "name": "Bowtie2" +}, +{ + "toolchain": "GCC/9.3.0", + "description": "Bowtie 2 is an ultrafast and memory-efficient tool for aligning sequencing reads to long reference sequences. It is particularly good at aligning reads of about 50 up to 100s or 1,000s of characters, and particularly good at aligning to relatively long (e.g. mammalian) genomes. Bowtie 2 indexes the genome with an FM Index to keep its memory footprint small: for the human genome, its memory footprint is typically around 3.2 GB. Bowtie 2 supports gapped, local, and paired-end alignment modes.", + "homepage": "http://bowtie-bio.sourceforge.net/bowtie2/index.shtml", + "version": "2.4.2", + "versionsuffix": "", + "name": "Bowtie2" +}, +{ + "toolchain": "GCC/10.3.0", + "description": "Bowtie 2 is an ultrafast and memory-efficient tool for aligning sequencing reads to long reference sequences. It is particularly good at aligning reads of about 50 up to 100s or 1,000s of characters, and particularly good at aligning to relatively long (e.g. mammalian) genomes. Bowtie 2 indexes the genome with an FM Index to keep its memory footprint small: for the human genome, its memory footprint is typically around 3.2 GB. Bowtie 2 supports gapped, local, and paired-end alignment modes.", + "homepage": "https://bowtie-bio.sourceforge.net/bowtie2/index.shtml", + "version": "2.4.4", + "versionsuffix": "", + "name": "Bowtie2" +}, +{ + "toolchain": "GCC/11.2.0", + "description": "Bowtie 2 is an ultrafast and memory-efficient tool for aligning sequencing reads to long reference sequences. It is particularly good at aligning reads of about 50 up to 100s or 1,000s of characters, and particularly good at aligning to relatively long (e.g. mammalian) genomes. Bowtie 2 indexes the genome with an FM Index to keep its memory footprint small: for the human genome, its memory footprint is typically around 3.2 GB. Bowtie 2 supports gapped, local, and paired-end alignment modes.", + "homepage": "https://bowtie-bio.sourceforge.net/bowtie2/index.shtml", + "version": "2.4.4", + "versionsuffix": "", + "name": "Bowtie2" +}, +{ + "toolchain": "GCC/11.3.0", + "description": "Bowtie 2 is an ultrafast and memory-efficient tool for aligning sequencing reads to long reference sequences. It is particularly good at aligning reads of about 50 up to 100s or 1,000s of characters, and particularly good at aligning to relatively long (e.g. mammalian) genomes. Bowtie 2 indexes the genome with an FM Index to keep its memory footprint small: for the human genome, its memory footprint is typically around 3.2 GB. Bowtie 2 supports gapped, local, and paired-end alignment modes.", + "homepage": "https://bowtie-bio.sourceforge.net/bowtie2/index.shtml", + "version": "2.4.5", + "versionsuffix": "", + "name": "Bowtie2" +}, +{ + "toolchain": "GCC/12.2.0", + "description": "Bowtie 2 is an ultrafast and memory-efficient tool for aligning sequencing reads to long reference sequences. It is particularly good at aligning reads of about 50 up to 100s or 1,000s of characters, and particularly good at aligning to relatively long (e.g. mammalian) genomes. Bowtie 2 indexes the genome with an FM Index to keep its memory footprint small: for the human genome, its memory footprint is typically around 3.2 GB. Bowtie 2 supports gapped, local, and paired-end alignment modes.", + "homepage": "https://bowtie-bio.sourceforge.net/bowtie2/index.shtml", + "version": "2.5.1", + "versionsuffix": "", + "name": "Bowtie2" +}, +{ + "toolchain": "GCC/12.3.0", + "description": "Bowtie 2 is an ultrafast and memory-efficient tool for aligning sequencing reads to long reference sequences. It is particularly good at aligning reads of about 50 up to 100s or 1,000s of characters, and particularly good at aligning to relatively long (e.g. mammalian) genomes. Bowtie 2 indexes the genome with an FM Index to keep its memory footprint small: for the human genome, its memory footprint is typically around 3.2 GB. Bowtie 2 supports gapped, local, and paired-end alignment modes.", + "homepage": "https://bowtie-bio.sourceforge.net/bowtie2/index.shtml", + "version": "2.5.1", + "versionsuffix": "", + "name": "Bowtie2" +}, +{ + "toolchain": "intel/2017a", + "description": "Bpipe - a tool for running and managing bioinformatics pipelines", + "homepage": "http://docs.bpipe.org/", + "version": "0.9.9.2", + "versionsuffix": "", + "name": "Bpipe" +}, +{ + "toolchain": "GCC/8.3.0", + "description": "The aim of this project is to implement a versatile high-performance version of the BPP software.", + "homepage": "https://github.com/bpp/bpp", + "version": "4.3.8", + "versionsuffix": "", + "name": "bpp" +}, +{ + "toolchain": "GCC/10.3.0", + "description": "The aim of this project is to implement a versatile high-performance version of the BPP software.", + "homepage": "https://github.com/bpp/bpp", + "version": "4.4.0", + "versionsuffix": "", + "name": "bpp" +}, +{ + "toolchain": "GCCcore/10.2.0", + "description": "Resource monitor that shows usage and stats for processor, memory, disks, network and processes.", + "homepage": "https://github.com/aristocratos/bpytop/", + "version": "1.0.60", + "versionsuffix": "", + "name": "bpytop" +}, +{ + "toolchain": "GCCcore/10.3.0", + "description": "Resource monitor that shows usage and stats for processor, memory, disks, network and processes.", + "homepage": "https://github.com/aristocratos/bpytop/", + "version": "1.0.67", + "versionsuffix": "", + "name": "bpytop" +}, +{ + "toolchain": "GCCcore/9.3.0", + "description": "Bracken (Bayesian Reestimation of Abundance with KrakEN) is a highly accurate statistical method that computes the abundance of species in DNA sequences from a metagenomics sample. 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If you use Kraken 2 defaults, specify 35 as the kmer length.", + "homepage": "https://ccb.jhu.edu/software/bracken/", + "version": "2.6.2", + "versionsuffix": "", + "name": "Bracken" +}, +{ + "toolchain": "GCCcore/11.2.0", + "description": "Bracken (Bayesian Reestimation of Abundance with KrakEN) is a highly accurate statistical method that computes the abundance of species in DNA sequences from a metagenomics sample. Braken uses the taxonomy labels assigned by Kraken, a highly accurate metagenomics classification algorithm, to estimate the number of reads originating from each species present in a sample. Kraken classifies reads to the best matching location in the taxonomic tree, but does not estimate abundances of species. 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If you use Kraken 2 defaults, specify 35 as the kmer length.", + "homepage": "https://ccb.jhu.edu/software/bracken/", + "version": "2.7", + "versionsuffix": "", + "name": "Bracken" +}, +{ + "toolchain": "foss/2021a", + "description": "Braindecode is an open-source Python toolbox for decoding raw electrophysiological brain data with deep learning models. It includes dataset fetchers, data preprocessing and visualization tools, as well as implementations of several deep learning architectures and data augmentations for analysis of EEG, ECoG and MEG.", + "homepage": "https://braindecode.org/", + "version": "0.7", + "versionsuffix": "-PyTorch-1.10.0-CUDA-11.3.1", + "name": "Braindecode" +}, +{ + "toolchain": "foss/2021a", + "description": "Braindecode is an open-source Python toolbox for decoding raw electrophysiological brain data with deep learning models. 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The specification of the Brotli Compressed Data Format is defined in RFC 7932.", + "homepage": "https://github.com/google/brotli", + "version": "1.0.9", + "versionsuffix": "", + "name": "Brotli" +}, +{ + "toolchain": "GCCcore/11.2.0", + "description": "Brotli is a generic-purpose lossless compression algorithm that compresses data using a combination of a modern variant of the LZ77 algorithm, Huffman coding and 2nd order context modeling, with a compression ratio comparable to the best currently available general-purpose compression methods. It is similar in speed with deflate but offers more dense compression. The specification of the Brotli Compressed Data Format is defined in RFC 7932.", + "homepage": "https://github.com/google/brotli", + "version": "1.0.9", + "versionsuffix": "", + "name": "Brotli" +}, +{ + "toolchain": "GCCcore/11.3.0", + "description": "Brotli is a generic-purpose lossless compression algorithm that compresses data using a combination of a modern variant of the LZ77 algorithm, Huffman coding and 2nd order context modeling, with a compression ratio comparable to the best currently available general-purpose compression methods. It is similar in speed with deflate but offers more dense compression. The specification of the Brotli Compressed Data Format is defined in RFC 7932.", + "homepage": "https://github.com/google/brotli", + "version": "1.0.9", + "versionsuffix": "", + "name": "Brotli" +}, +{ + "toolchain": "GCCcore/12.2.0", + "description": "Brotli is a generic-purpose lossless compression algorithm that compresses data using a combination of a modern variant of the LZ77 algorithm, Huffman coding and 2nd order context modeling, with a compression ratio comparable to the best currently available general-purpose compression methods. It is similar in speed with deflate but offers more dense compression. The specification of the Brotli Compressed Data Format is defined in RFC 7932.", + "homepage": "https://github.com/google/brotli", + "version": "1.0.9", + "versionsuffix": "", + "name": "Brotli" +}, +{ + "toolchain": "GCCcore/12.3.0", + "description": "Brotli is a generic-purpose lossless compression algorithm that compresses data using a combination of a modern variant of the LZ77 algorithm, Huffman coding and 2nd order context modeling, with a compression ratio comparable to the best currently available general-purpose compression methods. It is similar in speed with deflate but offers more dense compression. The specification of the Brotli Compressed Data Format is defined in RFC 7932.", + "homepage": "https://github.com/google/brotli", + "version": "1.0.9", + "versionsuffix": "", + "name": "Brotli" +}, +{ + "toolchain": "GCCcore/8.3.0", + "description": "Brotli is a generic-purpose lossless compression algorithm that compresses data using a combination of a modern variant of the LZ77 algorithm, Huffman coding and 2nd order context modeling, with a compression ratio comparable to the best currently available general-purpose compression methods. It is similar in speed with deflate but offers more dense compression. The specification of the Brotli Compressed Data Format is defined in RFC 7932.", + "homepage": "https://github.com/google/brotli", + "version": "1.0.9", + "versionsuffix": "", + "name": "Brotli" +}, +{ + "toolchain": "GCCcore/13.2.0", + "description": "Brotli is a generic-purpose lossless compression algorithm that compresses data using a combination of a modern variant of the LZ77 algorithm, Huffman coding and 2nd order context modeling, with a compression ratio comparable to the best currently available general-purpose compression methods. It is similar in speed with deflate but offers more dense compression. The specification of the Brotli Compressed Data Format is defined in RFC 7932.", + "homepage": "https://github.com/google/brotli", + "version": "1.1.0", + "versionsuffix": "", + "name": "Brotli" +}, +{ + "toolchain": "GCCcore/10.2.0", + "description": "Brotli is a generic-purpose lossless compression algorithm that compresses data using a combination of a modern variant of the LZ77 algorithm, Huffman coding and 2nd order context modeling, with a compression ratio comparable to the best currently available general-purpose compression methods. It is similar in speed with deflate but offers more dense compression. The specification of the Brotli Compressed Data Format is defined in RFC 7932.", + "homepage": "https://github.com/google/brotli", + "version": "1.0.9", + "versionsuffix": "", + "name": "Brotli-python" +}, +{ + "toolchain": "GCCcore/10.3.0", + "description": "Brotli is a generic-purpose lossless compression algorithm that compresses data using a combination of a modern variant of the LZ77 algorithm, Huffman coding and 2nd order context modeling, with a compression ratio comparable to the best currently available general-purpose compression methods. It is similar in speed with deflate but offers more dense compression. The specification of the Brotli Compressed Data Format is defined in RFC 7932.", + "homepage": "https://github.com/google/brotli", + "version": "1.0.9", + "versionsuffix": "", + "name": "Brotli-python" +}, +{ + "toolchain": "GCCcore/11.3.0", + "description": "Brotli is a generic-purpose lossless compression algorithm that compresses data using a combination of a modern variant of the LZ77 algorithm, Huffman coding and 2nd order context modeling, with a compression ratio comparable to the best currently available general-purpose compression methods. It is similar in speed with deflate but offers more dense compression. The specification of the Brotli Compressed Data Format is defined in RFC 7932.", + "homepage": "https://github.com/google/brotli", + "version": "1.0.9", + "versionsuffix": "", + "name": "Brotli-python" +}, +{ + "toolchain": "GCCcore/12.2.0", + "description": "Brotli is a generic-purpose lossless compression algorithm that compresses data using a combination of a modern variant of the LZ77 algorithm, Huffman coding and 2nd order context modeling, with a compression ratio comparable to the best currently available general-purpose compression methods. It is similar in speed with deflate but offers more dense compression. The specification of the Brotli Compressed Data Format is defined in RFC 7932.", + "homepage": "https://github.com/google/brotli", + "version": "1.0.9", + "versionsuffix": "", + "name": "Brotli-python" +}, +{ + "toolchain": "GCCcore/10.2.0", + "description": "Brunsli is a lossless JPEG repacking library.", + "homepage": "https://github.com/google/brunsli/", + "version": "0.1", + "versionsuffix": "", + "name": "Brunsli" +}, +{ + "toolchain": "GCCcore/10.3.0", + "description": "Brunsli is a lossless JPEG repacking library.", + "homepage": "https://github.com/google/brunsli/", + "version": "0.1", + "versionsuffix": "", + "name": "Brunsli" +}, +{ + "toolchain": "GCCcore/11.3.0", + "description": "Brunsli is a lossless JPEG repacking library.", + "homepage": "https://github.com/google/brunsli/", + "version": "0.1", + "versionsuffix": "", + "name": "Brunsli" +}, +{ + "toolchain": "GCCcore/12.2.0", + "description": "Brunsli is a lossless JPEG repacking library.", + "homepage": "https://github.com/google/brunsli/", + "version": "0.1", + "versionsuffix": "", + "name": "Brunsli" +}, +{ + "toolchain": "GCCcore/12.3.0", + "description": "Brunsli is a lossless JPEG repacking library.", + "homepage": "https://github.com/google/brunsli/", + "version": "0.1", + "versionsuffix": "", + "name": "Brunsli" +}, +{ + "toolchain": "GCCcore/8.2.0", + "description": "bsddb3 is a nearly complete Python binding of the Oracle/Sleepycat C API for the Database Environment, Database, Cursor, Log Cursor, Sequence and Transaction objects.", + "homepage": "https://pypi.org/project/bsddb3/", + "version": "6.2.6", + "versionsuffix": "", + "name": "bsddb3" +}, +{ + "toolchain": "fosscuda/2018b", + "description": "bsddb3 is a nearly complete Python binding of the Oracle/Sleepycat C API for the Database Environment, Database, Cursor, Log Cursor, Sequence and Transaction objects.", + "homepage": "https://pypi.org/project/bsddb3/", + "version": "6.2.6", + "versionsuffix": "-Python-2.7.15", + "name": "bsddb3" +}, +{ + "toolchain": "GCCcore/10.2.0", + "description": "bsddb3 is a nearly complete Python binding of the Oracle/Sleepycat C API for the Database Environment, Database, Cursor, Log Cursor, Sequence and Transaction objects.", + "homepage": "https://pypi.org/project/bsddb3/", + "version": "6.2.9", + "versionsuffix": "", + "name": "bsddb3" +}, +{ + "toolchain": "GCCcore/11.3.0", + "description": "bsddb3 is a nearly complete Python binding of the Oracle/Sleepycat C API for the Database Environment, Database, Cursor, Log Cursor, Sequence and Transaction objects.", + "homepage": "https://pypi.org/project/bsddb3/", + "version": "6.2.9", + "versionsuffix": "", + "name": "bsddb3" +}, +{ + "toolchain": "intel/2019b", + "description": "Updated and optimized fork of BSMAP. BSMAPz is a short reads mapping program for bisulfite sequencing in DNA methylation study.", + "homepage": "https://github.com/zyndagj/BSMAPz", + "version": "1.1.1", + "versionsuffix": "-Python-2.7.16", + "name": "BSMAPz" +}, +{ + "toolchain": "foss/2017b", + "description": "Bsoft is a collection of programs and a platform for development of software for image and molecular processing in structural biology. Problems in structural biology are approached with a highly modular design, allowing fast development of new algorithms without the burden of issues such as file I/O. It provides an easily accessible interface, a resource that can be and has been used in other packages.", + "homepage": "https://lsbr.niams.nih.gov/bsoft/", + "version": "2.0.2", + "versionsuffix": "", + "name": "Bsoft" +}, +{ + "toolchain": "GCC/9.3.0", + "description": "Bsoft is a collection of programs and a platform for development of software for image and molecular processing in structural biology. Problems in structural biology are approached with a highly modular design, allowing fast development of new algorithms without the burden of issues such as file I/O. It provides an easily accessible interface, a resource that can be and has been used in other packages.", + "homepage": "https://lsbr.niams.nih.gov/bsoft/", + "version": "2.0.7", + "versionsuffix": "", + "name": "Bsoft" +}, +{ + "toolchain": "GCC/8.3.0", + "description": "BS-Seeker2 is a seamless and versatile pipeline for accurately and fast mapping the bisulfite-treated reads.", + "homepage": "http://pellegrini-legacy.mcdb.ucla.edu/bs_seeker2", + "version": "2.1.8", + "versionsuffix": "-Python-2.7.16", + "name": "BSseeker2" +}, +{ + "toolchain": "iccifort/2019.5.281", + "description": "BS-Seeker2 is a seamless and versatile pipeline for accurately and fast mapping the bisulfite-treated reads.", + "homepage": "http://pellegrini-legacy.mcdb.ucla.edu/bs_seeker2", + "version": "2.1.8", + "versionsuffix": "-Python-2.7.16", + "name": "BSseeker2" +}, +{ + "toolchain": "GCCcore/10.2.0", + "description": "A Binary Decision Diagram library, with many highly efficient vectorized BDD operations, dynamic variable reordering, automated garbage collection, a C++ interface with automatic reference counting, and much more.", + "homepage": "http://buddy.sourceforge.net/", + "version": "2.4", + "versionsuffix": "", + "name": "BuDDy" +}, +{ + "toolchain": "iccifort/2020.1.217", + "description": "NCEP BUFRLIB software to encode or decode BUFR messages. It is not intended to be a primer on the BUFR code form itself.", + "homepage": "https://www.emc.ncep.noaa.gov/index.php?branch=BUFRLIB", + "version": "11.3.0.2", + "versionsuffix": "", + "name": "BUFRLIB" +}, +{ + "toolchain": "foss/2022a", + "description": "A simple, correct Python build frontend.", + "homepage": "https://github.com/pypa/build", + "version": "0.10.0", + "versionsuffix": "", + "name": "build" +}, +{ + "toolchain": "foss/2022b", + "description": "A simple, correct Python build frontend.", + "homepage": "https://github.com/pypa/build", + "version": "0.10.0", + "versionsuffix": "", + "name": "build" +}, +{ + "toolchain": "FCC/4.5.0", + "description": "This module sets a group of environment variables for compilers, linkers, maths libraries, etc., that you can use to easily transition between toolchains when building your software. To query the variables being set please use: module show ", + "homepage": "None", + "version": "default", + "versionsuffix": "", + "name": "buildenv" +}, +{ + "toolchain": "Fujitsu/21.05", + "description": "This module sets a group of environment variables for compilers, linkers, maths libraries, etc., that you can use to easily transition between toolchains when building your software. To query the variables being set please use: module show ", + "homepage": "None", + "version": "default", + "versionsuffix": "", + "name": "buildenv" +}, +{ + "toolchain": "foss/2017b", + "description": "This module sets a group of environment variables for compilers, linkers, maths libraries, etc., that you can use to easily transition between toolchains when building your software. To query the variables being set please use: module show ", + "homepage": "None", + "version": "default", + "versionsuffix": "", + "name": "buildenv" +}, +{ + "toolchain": "foss/2018b", + "description": "This module sets a group of environment variables for compilers, linkers, maths libraries, etc., that you can use to easily transition between toolchains when building your software. To query the variables being set please use: module show ", + "homepage": "None", + "version": "default", + "versionsuffix": "", + "name": "buildenv" +}, +{ + "toolchain": "foss/2019b", + "description": "This module sets a group of environment variables for compilers, linkers, maths libraries, etc., that you can use to easily transition between toolchains when building your software. To query the variables being set please use: module show ", + "homepage": "None", + "version": "default", + "versionsuffix": "", + "name": "buildenv" +}, +{ + "toolchain": "foss/2020a", + "description": "This module sets a group of environment variables for compilers, linkers, maths libraries, etc., that you can use to easily transition between toolchains when building your software. To query the variables being set please use: module show ", + "homepage": "None", + "version": "default", + "versionsuffix": "", + "name": "buildenv" +}, +{ + "toolchain": "foss/2020b", + "description": "This module sets a group of environment variables for compilers, linkers, maths libraries, etc., that you can use to easily transition between toolchains when building your software. To query the variables being set please use: module show ", + "homepage": "None", + "version": "default", + "versionsuffix": "", + "name": "buildenv" +}, +{ + "toolchain": "foss/2021a", + "description": "This module sets a group of environment variables for compilers, linkers, maths libraries, etc., that you can use to easily transition between toolchains when building your software. To query the variables being set please use: module show ", + "homepage": "None", + "version": "default", + "versionsuffix": "-CUDA-11.3.1", + "name": "buildenv" +}, +{ + "toolchain": "foss/2021a", + "description": "This module sets a group of environment variables for compilers, linkers, maths libraries, etc., that you can use to easily transition between toolchains when building your software. To query the variables being set please use: module show ", + "homepage": "None", + "version": "default", + "versionsuffix": "", + "name": "buildenv" +}, +{ + "toolchain": "foss/2021b", + "description": "This module sets a group of environment variables for compilers, linkers, maths libraries, etc., that you can use to easily transition between toolchains when building your software. To query the variables being set please use: module show ", + "homepage": "None", + "version": "default", + "versionsuffix": "-CUDA-11.4.1", + "name": "buildenv" +}, +{ + "toolchain": "foss/2021b", + "description": "This module sets a group of environment variables for compilers, linkers, maths libraries, etc., that you can use to easily transition between toolchains when building your software. To query the variables being set please use: module show ", + "homepage": "None", + "version": "default", + "versionsuffix": "", + "name": "buildenv" +}, +{ + "toolchain": "foss/2022a", + "description": "This module sets a group of environment variables for compilers, linkers, maths libraries, etc., that you can use to easily transition between toolchains when building your software. To query the variables being set please use: module show ", + "homepage": "None", + "version": "default", + "versionsuffix": "-CUDA-11.7.0", + "name": "buildenv" +}, +{ + "toolchain": "foss/2022a", + "description": "This module sets a group of environment variables for compilers, linkers, maths libraries, etc., that you can use to easily transition between toolchains when building your software. To query the variables being set please use: module show ", + "homepage": "None", + "version": "default", + "versionsuffix": "", + "name": "buildenv" +}, +{ + "toolchain": "foss/2022b", + "description": "This module sets a group of environment variables for compilers, linkers, maths libraries, etc., that you can use to easily transition between toolchains when building your software. To query the variables being set please use: module show ", + "homepage": "None", + "version": "default", + "versionsuffix": "-CUDA-12.0.0", + "name": "buildenv" +}, +{ + "toolchain": "foss/2022b", + "description": "This module sets a group of environment variables for compilers, linkers, maths libraries, etc., that you can use to easily transition between toolchains when building your software. To query the variables being set please use: module show ", + "homepage": "None", + "version": "default", + "versionsuffix": "", + "name": "buildenv" +}, +{ + "toolchain": "foss/2023a", + "description": "This module sets a group of environment variables for compilers, linkers, maths libraries, etc., that you can use to easily transition between toolchains when building your software. To query the variables being set please use: module show ", + "homepage": "None", + "version": "default", + "versionsuffix": "-CUDA-12.1.1", + "name": "buildenv" +}, +{ + "toolchain": "foss/2023a", + "description": "This module sets a group of environment variables for compilers, linkers, maths libraries, etc., that you can use to easily transition between toolchains when building your software. To query the variables being set please use: module show ", + "homepage": "None", + "version": "default", + "versionsuffix": "", + "name": "buildenv" +}, +{ + "toolchain": "fosscuda/2019b", + "description": "This module sets a group of environment variables for compilers, linkers, maths libraries, etc., that you can use to easily transition between toolchains when building your software. To query the variables being set please use: module show ", + "homepage": "None", + "version": "default", + "versionsuffix": "", + "name": "buildenv" +}, +{ + "toolchain": "fosscuda/2020a", + "description": "This module sets a group of environment variables for compilers, linkers, maths libraries, etc., that you can use to easily transition between toolchains when building your software. To query the variables being set please use: module show ", + "homepage": "None", + "version": "default", + "versionsuffix": "", + "name": "buildenv" +}, +{ + "toolchain": "fosscuda/2020b", + "description": "This module sets a group of environment variables for compilers, linkers, maths libraries, etc., that you can use to easily transition between toolchains when building your software. To query the variables being set please use: module show ", + "homepage": "None", + "version": "default", + "versionsuffix": "", + "name": "buildenv" +}, +{ + "toolchain": "intel/2016b", + "description": "This module sets a group of environment variables for compilers, linkers, maths libraries, etc., that you can use to easily transition between toolchains when building your software. To query the variables being set please use: module show ", + "homepage": "None", + "version": "default", + "versionsuffix": "", + "name": "buildenv" +}, +{ + "toolchain": "intel/2017a", + "description": "This module sets a group of environment variables for compilers, linkers, maths libraries, etc., that you can use to easily transition between toolchains when building your software. To query the variables being set please use: module show ", + "homepage": "None", + "version": "default", + "versionsuffix": "", + "name": "buildenv" +}, +{ + "toolchain": "intel/2019b", + "description": "This module sets a group of environment variables for compilers, linkers, maths libraries, etc., that you can use to easily transition between toolchains when building your software. To query the variables being set please use: module show ", + "homepage": "None", + "version": "default", + "versionsuffix": "", + "name": "buildenv" +}, +{ + "toolchain": "intel/2020a", + "description": "This module sets a group of environment variables for compilers, linkers, maths libraries, etc., that you can use to easily transition between toolchains when building your software. To query the variables being set please use: module show ", + "homepage": "None", + "version": "default", + "versionsuffix": "", + "name": "buildenv" +}, +{ + "toolchain": "intel/2020b", + "description": "This module sets a group of environment variables for compilers, linkers, maths libraries, etc., that you can use to easily transition between toolchains when building your software. To query the variables being set please use: module show ", + "homepage": "None", + "version": "default", + "versionsuffix": "", + "name": "buildenv" +}, +{ + "toolchain": "intel/2021a", + "description": "This module sets a group of environment variables for compilers, linkers, maths libraries, etc., that you can use to easily transition between toolchains when building your software. To query the variables being set please use: module show ", + "homepage": "None", + "version": "default", + "versionsuffix": "", + "name": "buildenv" +}, +{ + "toolchain": "intel/2021b", + "description": "This module sets a group of environment variables for compilers, linkers, maths libraries, etc., that you can use to easily transition between toolchains when building your software. To query the variables being set please use: module show ", + "homepage": "None", + "version": "default", + "versionsuffix": "", + "name": "buildenv" +}, +{ + "toolchain": "intel/2022a", + "description": "This module sets a group of environment variables for compilers, linkers, maths libraries, etc., that you can use to easily transition between toolchains when building your software. To query the variables being set please use: module show ", + "homepage": "None", + "version": "default", + "versionsuffix": "", + "name": "buildenv" +}, +{ + "toolchain": "intel/2022b", + "description": "This module sets a group of environment variables for compilers, linkers, maths libraries, etc., that you can use to easily transition between toolchains when building your software. To query the variables being set please use: module show ", + "homepage": "None", + "version": "default", + "versionsuffix": "", + "name": "buildenv" +}, +{ + "toolchain": "intel/2023a", + "description": "This module sets a group of environment variables for compilers, linkers, maths libraries, etc., that you can use to easily transition between toolchains when building your software. To query the variables being set please use: module show ", + "homepage": "None", + "version": "default", + "versionsuffix": "", + "name": "buildenv" +}, +{ + "toolchain": "intelcuda/2019b", + "description": "This module sets a group of environment variables for compilers, linkers, maths libraries, etc., that you can use to easily transition between toolchains when building your software. To query the variables being set please use: module show ", + "homepage": "None", + "version": "default", + "versionsuffix": "", + "name": "buildenv" +}, +{ + "toolchain": "intelcuda/2020a", + "description": "This module sets a group of environment variables for compilers, linkers, maths libraries, etc., that you can use to easily transition between toolchains when building your software. To query the variables being set please use: module show ", + "homepage": "None", + "version": "default", + "versionsuffix": "", + "name": "buildenv" +}, +{ + "toolchain": "intelcuda/2020b", + "description": "This module sets a group of environment variables for compilers, linkers, maths libraries, etc., that you can use to easily transition between toolchains when building your software. To query the variables being set please use: module show ", + "homepage": "None", + "version": "default", + "versionsuffix": "", + "name": "buildenv" +}, +{ + "toolchain": "nvompi/2022.07", + "description": "This module sets a group of environment variables for compilers, linkers, maths libraries, etc., that you can use to easily transition between toolchains when building your software. To query the variables being set please use: module show ", + "homepage": "None", + "version": "default", + "versionsuffix": "", + "name": "buildenv" +}, +{ + "toolchain": "foss/2022a", + "description": "Python modules for automating Modelica simulations and for running unit test for the Buildings library", + "homepage": "https://simulationresearch.lbl.gov/modelica/buildingspy", + "version": "4.0.0", + "versionsuffix": "", + "name": "buildingspy" +}, +{ + "toolchain": "foss/2016a", + "description": "Bullet professional 3D Game Multiphysics Library provides state of the art collision detection, soft body and rigid body dynamics.", + "homepage": "http://bulletphysics.org/", + "version": "2.83.7", + "versionsuffix": "", + "name": "Bullet" +}, +{ + "toolchain": "intel/2016a", + "description": "Bullet professional 3D Game Multiphysics Library provides state of the art collision detection, soft body and rigid body dynamics.", + "homepage": "http://bulletphysics.org/", + "version": "2.83.7", + "versionsuffix": "", + "name": "Bullet" +}, +{ + "toolchain": "intel/2017a", + "description": "BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs", + "homepage": "http://busco.ezlab.org/", + "version": "1.22", + "versionsuffix": "-Python-2.7.13", + "name": "BUSCO" +}, +{ + "toolchain": "intel/2017a", + "description": "BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs", + "homepage": "http://busco.ezlab.org/", + "version": "2.0.1", + "versionsuffix": "-Python-2.7.13", + "name": "BUSCO" +}, +{ + "toolchain": "intel/2018b", + "description": "BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs", + "homepage": "http://busco.ezlab.org/", + "version": "3.0.2", + "versionsuffix": "-Python-2.7.15", + "name": "BUSCO" +}, +{ + "toolchain": "foss/2019b", + "description": "BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs", + "homepage": "https://busco.ezlab.org/", + "version": "4.0.5", + "versionsuffix": "-Python-3.7.4", + "name": "BUSCO" +}, +{ + "toolchain": "foss/2020b", + "description": "BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs", + "homepage": "https://busco.ezlab.org/", + "version": "4.0.6", + "versionsuffix": "", + "name": "BUSCO" +}, +{ + "toolchain": "foss/2020b", + "description": "BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs", + "homepage": "https://busco.ezlab.org/", + "version": "5.0.0", + "versionsuffix": "", + "name": "BUSCO" +}, +{ + "toolchain": "foss/2020b", + "description": "BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs", + "homepage": "https://busco.ezlab.org/", + "version": "5.1.2", + "versionsuffix": "", + "name": "BUSCO" +}, +{ + "toolchain": "foss/2021a", + "description": "BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs", + "homepage": "https://busco.ezlab.org/", + "version": "5.4.2", + "versionsuffix": "", + "name": "BUSCO" +}, +{ + "toolchain": "foss/2021b", + "description": "BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs", + "homepage": "https://busco.ezlab.org/", + "version": "5.4.3", + "versionsuffix": "", + "name": "BUSCO" +}, +{ + "toolchain": "foss/2022a", + "description": "BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs", + "homepage": "https://busco.ezlab.org/", + "version": "5.4.5", + "versionsuffix": "", + "name": "BUSCO" +}, +{ + "toolchain": "foss/2022b", + "description": "BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs", + "homepage": "https://busco.ezlab.org/", + "version": "5.4.7", + "versionsuffix": "", + "name": "BUSCO" +}, +{ + "toolchain": "GCCcore/9.3.0", + "description": "bustools is a program for manipulating BUS files for single cell RNA-Seq datasets. 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It typically compresses files to within 10% to 15% of the best available techniques (the PPM family of statistical compressors), whilst being around twice as fast at compression and six times faster at decompression.", + "homepage": "https://sourceware.org/bzip2", + "version": "1.0.6", + "versionsuffix": "", + "name": "bzip2" +}, +{ + "toolchain": "GCC/5.4.0-2.26", + "description": "bzip2 is a freely available, patent free, high-quality data compressor. It typically compresses files to within 10% to 15% of the best available techniques (the PPM family of statistical compressors), whilst being around twice as fast at compression and six times faster at decompression.", + "homepage": "https://sourceware.org/bzip2", + "version": "1.0.6", + "versionsuffix": "", + "name": "bzip2" +}, +{ + "toolchain": "GCCcore/4.9.3", + "description": "bzip2 is a freely available, patent free, high-quality data compressor. It typically compresses files to within 10% to 15% of the best available techniques (the PPM family of statistical compressors), whilst being around twice as fast at compression and six times faster at decompression.", + "homepage": "https://sourceware.org/bzip2", + "version": "1.0.6", + "versionsuffix": "", + "name": "bzip2" +}, +{ + "toolchain": "GCCcore/5.4.0", + "description": "bzip2 is a freely available, patent free, high-quality data compressor. It typically compresses files to within 10% to 15% of the best available techniques (the PPM family of statistical compressors), whilst being around twice as fast at compression and six times faster at decompression.", + "homepage": "https://sourceware.org/bzip2", + "version": "1.0.6", + "versionsuffix": "", + "name": "bzip2" +}, +{ + "toolchain": "GCCcore/6.3.0", + "description": "bzip2 is a freely available, patent free, high-quality data compressor. It typically compresses files to within 10% to 15% of the best available techniques (the PPM family of statistical compressors), whilst being around twice as fast at compression and six times faster at decompression.", + "homepage": "https://sourceware.org/bzip2", + "version": "1.0.6", + "versionsuffix": "", + "name": "bzip2" +}, +{ + "toolchain": "GCCcore/6.4.0", + "description": "bzip2 is a freely available, patent free, high-quality data compressor. It typically compresses files to within 10% to 15% of the best available techniques (the PPM family of statistical compressors), whilst being around twice as fast at compression and six times faster at decompression.", + "homepage": "https://sourceware.org/bzip2", + "version": "1.0.6", + "versionsuffix": "", + "name": "bzip2" +}, +{ + "toolchain": "GCCcore/7.2.0", + "description": "bzip2 is a freely available, patent free, high-quality data compressor. It typically compresses files to within 10% to 15% of the best available techniques (the PPM family of statistical compressors), whilst being around twice as fast at compression and six times faster at decompression.", + "homepage": "https://sourceware.org/bzip2", + "version": "1.0.6", + "versionsuffix": "", + "name": "bzip2" +}, +{ + "toolchain": "GCCcore/7.3.0", + "description": "bzip2 is a freely available, patent free, high-quality data compressor. It typically compresses files to within 10% to 15% of the best available techniques (the PPM family of statistical compressors), whilst being around twice as fast at compression and six times faster at decompression.", + "homepage": "https://sourceware.org/bzip2", + "version": "1.0.6", + "versionsuffix": "", + "name": "bzip2" +}, +{ + "toolchain": "GCCcore/8.2.0", + "description": "bzip2 is a freely available, patent free, high-quality data compressor. It typically compresses files to within 10% to 15% of the best available techniques (the PPM family of statistical compressors), whilst being around twice as fast at compression and six times faster at decompression.", + "homepage": "https://sourceware.org/bzip2", + "version": "1.0.6", + "versionsuffix": "", + "name": "bzip2" +}, +{ + "toolchain": "GNU/4.9.3-2.25", + "description": "bzip2 is a freely available, patent free, high-quality data compressor. It typically compresses files to within 10% to 15% of the best available techniques (the PPM family of statistical compressors), whilst being around twice as fast at compression and six times faster at decompression.", + "homepage": "https://sourceware.org/bzip2", + "version": "1.0.6", + "versionsuffix": "", + "name": "bzip2" +}, +{ + "toolchain": "foss/2016.04", + "description": "bzip2 is a freely available, patent free, high-quality data compressor. It typically compresses files to within 10% to 15% of the best available techniques (the PPM family of statistical compressors), whilst being around twice as fast at compression and six times faster at decompression.", + "homepage": "https://sourceware.org/bzip2", + "version": "1.0.6", + "versionsuffix": "", + "name": "bzip2" +}, +{ + "toolchain": "foss/2016a", + "description": "bzip2 is a freely available, patent free, high-quality data compressor. It typically compresses files to within 10% to 15% of the best available techniques (the PPM family of statistical compressors), whilst being around twice as fast at compression and six times faster at decompression.", + "homepage": "https://sourceware.org/bzip2", + "version": "1.0.6", + "versionsuffix": "", + "name": "bzip2" +}, +{ + "toolchain": "foss/2016b", + "description": "bzip2 is a freely available, patent free, high-quality data compressor. It typically compresses files to within 10% to 15% of the best available techniques (the PPM family of statistical compressors), whilst being around twice as fast at compression and six times faster at decompression.", + "homepage": "https://sourceware.org/bzip2", + "version": "1.0.6", + "versionsuffix": "", + "name": "bzip2" +}, +{ + "toolchain": "gimkl/2.11.5", + "description": "bzip2 is a freely available, patent free, high-quality data compressor. It typically compresses files to within 10% to 15% of the best available techniques (the PPM family of statistical compressors), whilst being around twice as fast at compression and six times faster at decompression.", + "homepage": "https://sourceware.org/bzip2", + "version": "1.0.6", + "versionsuffix": "", + "name": "bzip2" +}, +{ + "toolchain": "gimkl/2017a", + "description": "bzip2 is a freely available, patent free, high-quality data compressor. It typically compresses files to within 10% to 15% of the best available techniques (the PPM family of statistical compressors), whilst being around twice as fast at compression and six times faster at decompression.", + "homepage": "https://sourceware.org/bzip2", + "version": "1.0.6", + "versionsuffix": "", + "name": "bzip2" +}, +{ + "toolchain": "intel/2016.02-GCC-4.9", + "description": "bzip2 is a freely available, patent free, high-quality data compressor. It typically compresses files to within 10% to 15% of the best available techniques (the PPM family of statistical compressors), whilst being around twice as fast at compression and six times faster at decompression.", + "homepage": "https://sourceware.org/bzip2", + "version": "1.0.6", + "versionsuffix": "", + "name": "bzip2" +}, +{ + "toolchain": "intel/2016a", + "description": "bzip2 is a freely available, patent free, high-quality data compressor. It typically compresses files to within 10% to 15% of the best available techniques (the PPM family of statistical compressors), whilst being around twice as fast at compression and six times faster at decompression.", + "homepage": "https://sourceware.org/bzip2", + "version": "1.0.6", + "versionsuffix": "", + "name": "bzip2" +}, +{ + "toolchain": "intel/2016b", + "description": "bzip2 is a freely available, patent free, high-quality data compressor. It typically compresses files to within 10% to 15% of the best available techniques (the PPM family of statistical compressors), whilst being around twice as fast at compression and six times faster at decompression.", + "homepage": "https://sourceware.org/bzip2", + "version": "1.0.6", + "versionsuffix": "", + "name": "bzip2" +}, +{ + "toolchain": "iomkl/2016.07", + "description": "bzip2 is a freely available, patent free, high-quality data compressor. It typically compresses files to within 10% to 15% of the best available techniques (the PPM family of statistical compressors), whilst being around twice as fast at compression and six times faster at decompression.", + "homepage": "https://sourceware.org/bzip2", + "version": "1.0.6", + "versionsuffix": "", + "name": "bzip2" +}, +{ + "toolchain": "iomkl/2016.09-GCC-4.9.3-2.25", + "description": "bzip2 is a freely available, patent free, high-quality data compressor. It typically compresses files to within 10% to 15% of the best available techniques (the PPM family of statistical compressors), whilst being around twice as fast at compression and six times faster at decompression.", + "homepage": "https://sourceware.org/bzip2", + "version": "1.0.6", + "versionsuffix": "", + "name": "bzip2" +}, +{ + "toolchain": "system", + "description": "bzip2 is a freely available, patent free, high-quality data compressor. It typically compresses files to within 10% to 15% of the best available techniques (the PPM family of statistical compressors), whilst being around twice as fast at compression and six times faster at decompression.", + "homepage": "https://sourceware.org/bzip2", + "version": "1.0.6", + "versionsuffix": "", + "name": "bzip2" +}, +{ + "toolchain": "GCCcore/10.2.0", + "description": "bzip2 is a freely available, patent free, high-quality data compressor. It typically compresses files to within 10% to 15% of the best available techniques (the PPM family of statistical compressors), whilst being around twice as fast at compression and six times faster at decompression.", + "homepage": "https://sourceware.org/bzip2", + "version": "1.0.8", + "versionsuffix": "", + "name": "bzip2" +}, +{ + "toolchain": "GCCcore/10.3.0", + "description": "bzip2 is a freely available, patent free, high-quality data compressor. It typically compresses files to within 10% to 15% of the best available techniques (the PPM family of statistical compressors), whilst being around twice as fast at compression and six times faster at decompression.", + "homepage": "https://sourceware.org/bzip2", + "version": "1.0.8", + "versionsuffix": "", + "name": "bzip2" +}, +{ + "toolchain": "GCCcore/11.2.0", + "description": "bzip2 is a freely available, patent free, high-quality data compressor. It typically compresses files to within 10% to 15% of the best available techniques (the PPM family of statistical compressors), whilst being around twice as fast at compression and six times faster at decompression.", + "homepage": "https://sourceware.org/bzip2", + "version": "1.0.8", + "versionsuffix": "", + "name": "bzip2" +}, +{ + "toolchain": "GCCcore/11.3.0", + "description": "bzip2 is a freely available, patent free, high-quality data compressor. It typically compresses files to within 10% to 15% of the best available techniques (the PPM family of statistical compressors), whilst being around twice as fast at compression and six times faster at decompression.", + "homepage": "https://sourceware.org/bzip2", + "version": "1.0.8", + "versionsuffix": "", + "name": "bzip2" +}, +{ + "toolchain": "GCCcore/12.2.0", + "description": "bzip2 is a freely available, patent free, high-quality data compressor. It typically compresses files to within 10% to 15% of the best available techniques (the PPM family of statistical compressors), whilst being around twice as fast at compression and six times faster at decompression.", + "homepage": "https://sourceware.org/bzip2", + "version": "1.0.8", + "versionsuffix": "", + "name": "bzip2" +}, +{ + "toolchain": "GCCcore/12.3.0", + "description": "bzip2 is a freely available, patent free, high-quality data compressor. It typically compresses files to within 10% to 15% of the best available techniques (the PPM family of statistical compressors), whilst being around twice as fast at compression and six times faster at decompression.", + "homepage": "https://sourceware.org/bzip2", + "version": "1.0.8", + "versionsuffix": "", + "name": "bzip2" +}, +{ + "toolchain": "GCCcore/13.1.0", + "description": "bzip2 is a freely available, patent free, high-quality data compressor. It typically compresses files to within 10% to 15% of the best available techniques (the PPM family of statistical compressors), whilst being around twice as fast at compression and six times faster at decompression.", + "homepage": "https://sourceware.org/bzip2", + "version": "1.0.8", + "versionsuffix": "", + "name": "bzip2" +}, +{ + "toolchain": "GCCcore/13.2.0", + "description": "bzip2 is a freely available, patent free, high-quality data compressor. It typically compresses files to within 10% to 15% of the best available techniques (the PPM family of statistical compressors), whilst being around twice as fast at compression and six times faster at decompression.", + "homepage": "https://sourceware.org/bzip2", + "version": "1.0.8", + "versionsuffix": "", + "name": "bzip2" +}, +{ + "toolchain": "GCCcore/8.3.0", + "description": "bzip2 is a freely available, patent free, high-quality data compressor. It typically compresses files to within 10% to 15% of the best available techniques (the PPM family of statistical compressors), whilst being around twice as fast at compression and six times faster at decompression.", + "homepage": "https://sourceware.org/bzip2", + "version": "1.0.8", + "versionsuffix": "", + "name": "bzip2" +}, +{ + "toolchain": "GCCcore/9.3.0", + "description": "bzip2 is a freely available, patent free, high-quality data compressor. It typically compresses files to within 10% to 15% of the best available techniques (the PPM family of statistical compressors), whilst being around twice as fast at compression and six times faster at decompression.", + "homepage": "https://sourceware.org/bzip2", + "version": "1.0.8", + "versionsuffix": "", + "name": "bzip2" +}, +{ + "toolchain": "system", + "description": "bzip2 is a freely available, patent free, high-quality data compressor. It typically compresses files to within 10% to 15% of the best available techniques (the PPM family of statistical compressors), whilst being around twice as fast at compression and six times faster at decompression.", + "homepage": "https://sourceware.org/bzip2", + "version": "1.0.8", + "versionsuffix": "", + "name": "bzip2" +}, +{ + "toolchain": "GCCcore/10.2.0", + "description": "c-ares is a C library for asynchronous DNS requests (including name resolves)", + "homepage": "https://c-ares.haxx.se", + "version": "1.17.2", + "versionsuffix": "", + "name": "c-ares" +}, +{ + "toolchain": "GCCcore/10.3.0", + "description": "c-ares is a C library for asynchronous DNS requests (including name resolves)", + "homepage": "https://c-ares.haxx.se", + "version": "1.17.2", + "versionsuffix": "", + "name": "c-ares" +}, +{ + "toolchain": "GCCcore/11.2.0", + "description": "c-ares is a C library for asynchronous DNS requests (including name resolves)", + "homepage": "https://c-ares.org/", + "version": "1.18.1", + "versionsuffix": "", + "name": "c-ares" +}, +{ + "toolchain": "GCCcore/11.3.0", + "description": "c-ares is a C library for asynchronous DNS requests (including name resolves)", + "homepage": "https://c-ares.org/", + "version": "1.18.1", + "versionsuffix": "", + "name": "c-ares" +}, +{ + "toolchain": "GCCcore/12.3.0", + "description": "c-ares is a C library for asynchronous DNS requests (including name resolves)", + "homepage": "https://c-ares.org/", + "version": "1.19.1", + "versionsuffix": "", + "name": "c-ares" +}, +{ + "toolchain": "system", + "description": "Convert3D Medical Image Processing Tool", + "homepage": "https://sourceforge.net/projects/c3d/", + "version": "1.0.0", + "versionsuffix": "", + "name": "C3D" +}, +{ + "toolchain": "intel/2017a", + "description": "cadaver is a command-line WebDAV client for Unix.", + "homepage": "http://www.webdav.org/cadaver/", + "version": "0.23.3", + "versionsuffix": "", + "name": "cadaver" +}, +{ + "toolchain": "GCC/9.3.0", + "description": "CaDiCaL is a simplified satisfiability solver. The original goal of the development of CaDiCaL was to obtain a CDCL solver, which is easy to understand and change, while at the same time not being much slower than other state-of-the-art CDCL solvers.", + "homepage": "https://github.com/arminbiere/cadical", + "version": "1.3.0", + "versionsuffix": "", + "name": "CaDiCaL" +}, +{ + "toolchain": "GCC/10.2.0", + "description": "Software for Computational Analysis of gene Family Evolution The purpose of CAFE is to analyze changes in gene family size in a way that accounts for phylogenetic history and provides a statistical foundation for evolutionary inferences. The program uses a birth and death process to model gene gain and loss across a user-specified phylogenetic tree. The distribution of family sizes generated under this model can provide a basis for assessing the significance of the observed family size differences among taxa.", + "homepage": "https://github.com/hahnlab/CAFE5", + "version": "5.0.0", + "versionsuffix": "", + "name": "CAFE5" +}, +{ + "toolchain": "intel/2017a", + "description": "Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by the Berkeley Vision and Learning Center (BVLC) and community contributors.", + "homepage": "https://github.com/BVLC/caffe", + "version": "1.0", + "versionsuffix": "-Python-2.7.13", + "name": "Caffe" +}, +{ + "toolchain": "intel/2017b", + "description": "Caffe is a deep learning framework made with expression, speed, and modularity in mind. 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Experimental backends include OpenGL, BeOS, OS/2, and DirectFB", + "homepage": "http://cairographics.org", + "version": "1.14.10", + "versionsuffix": "", + "name": "cairo" +}, +{ + "toolchain": "intel/2017b", + "description": "Cairo is a 2D graphics library with support for multiple output devices. Currently supported output targets include the X Window System (via both Xlib and XCB), Quartz, Win32, image buffers, PostScript, PDF, and SVG file output. Experimental backends include OpenGL, BeOS, OS/2, and DirectFB", + "homepage": "http://cairographics.org", + "version": "1.14.10", + "versionsuffix": "", + "name": "cairo" +}, +{ + "toolchain": "GCCcore/6.4.0", + "description": "Cairo is a 2D graphics library with support for multiple output devices. Currently supported output targets include the X Window System (via both Xlib and XCB), Quartz, Win32, image buffers, PostScript, PDF, and SVG file output. Experimental backends include OpenGL, BeOS, OS/2, and DirectFB", + "homepage": "http://cairographics.org", + "version": "1.14.12", + "versionsuffix": "", + "name": "cairo" +}, +{ + "toolchain": "GCCcore/7.3.0", + "description": "Cairo is a 2D graphics library with support for multiple output devices. Currently supported output targets include the X Window System (via both Xlib and XCB), Quartz, Win32, image buffers, PostScript, PDF, and SVG file output. Experimental backends include OpenGL, BeOS, OS/2, and DirectFB", + "homepage": "http://cairographics.org", + "version": "1.14.12", + "versionsuffix": "", + "name": "cairo" +}, +{ + "toolchain": "foss/2016a", + "description": "Cairo is a 2D graphics library with support for multiple output devices. Currently supported output targets include the X Window System (via both Xlib and XCB), Quartz, Win32, image buffers, PostScript, PDF, and SVG file output. Experimental backends include OpenGL, BeOS, OS/2, and DirectFB", + "homepage": "http://cairographics.org", + "version": "1.14.6", + "versionsuffix": "-GLib-2.48.0", + "name": "cairo" +}, +{ + "toolchain": "foss/2016a", + "description": "Cairo is a 2D graphics library with support for multiple output devices. Currently supported output targets include the X Window System (via both Xlib and XCB), Quartz, Win32, image buffers, PostScript, PDF, and SVG file output. Experimental backends include OpenGL, BeOS, OS/2, and DirectFB", + "homepage": "http://cairographics.org", + "version": "1.14.6", + "versionsuffix": "", + "name": "cairo" +}, +{ + "toolchain": "foss/2016b", + "description": "Cairo is a 2D graphics library with support for multiple output devices. Currently supported output targets include the X Window System (via both Xlib and XCB), Quartz, Win32, image buffers, PostScript, PDF, and SVG file output. Experimental backends include OpenGL, BeOS, OS/2, and DirectFB", + "homepage": "http://cairographics.org", + "version": "1.14.6", + "versionsuffix": "", + "name": "cairo" +}, +{ + "toolchain": "intel/2016a", + "description": "Cairo is a 2D graphics library with support for multiple output devices. Currently supported output targets include the X Window System (via both Xlib and XCB), Quartz, Win32, image buffers, PostScript, PDF, and SVG file output. Experimental backends include OpenGL, BeOS, OS/2, and DirectFB", + "homepage": "http://cairographics.org", + "version": "1.14.6", + "versionsuffix": "-GLib-2.48.0", + "name": "cairo" +}, +{ + "toolchain": "intel/2016a", + "description": "Cairo is a 2D graphics library with support for multiple output devices. Currently supported output targets include the X Window System (via both Xlib and XCB), Quartz, Win32, image buffers, PostScript, PDF, and SVG file output. Experimental backends include OpenGL, BeOS, OS/2, and DirectFB", + "homepage": "http://cairographics.org", + "version": "1.14.6", + "versionsuffix": "", + "name": "cairo" +}, +{ + "toolchain": "intel/2016b", + "description": "Cairo is a 2D graphics library with support for multiple output devices. Currently supported output targets include the X Window System (via both Xlib and XCB), Quartz, Win32, image buffers, PostScript, PDF, and SVG file output. Experimental backends include OpenGL, BeOS, OS/2, and DirectFB", + "homepage": "http://cairographics.org", + "version": "1.14.6", + "versionsuffix": "", + "name": "cairo" +}, +{ + "toolchain": "intel/2017a", + "description": "Cairo is a 2D graphics library with support for multiple output devices. Currently supported output targets include the X Window System (via both Xlib and XCB), Quartz, Win32, image buffers, PostScript, PDF, and SVG file output. Experimental backends include OpenGL, BeOS, OS/2, and DirectFB", + "homepage": "http://cairographics.org", + "version": "1.14.8", + "versionsuffix": "", + "name": "cairo" +}, +{ + "toolchain": "GCCcore/10.2.0", + "description": "Cairo is a 2D graphics library with support for multiple output devices. Currently supported output targets include the X Window System (via both Xlib and XCB), Quartz, Win32, image buffers, PostScript, PDF, and SVG file output. Experimental backends include OpenGL, BeOS, OS/2, and DirectFB", + "homepage": "https://cairographics.org", + "version": "1.16.0", + "versionsuffix": "", + "name": "cairo" +}, +{ + "toolchain": "GCCcore/10.3.0", + "description": "Cairo is a 2D graphics library with support for multiple output devices. Currently supported output targets include the X Window System (via both Xlib and XCB), Quartz, Win32, image buffers, PostScript, PDF, and SVG file output. 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This module provides the Cube graphical report explorer.", + "homepage": "https://www.scalasca.org/software/cube-4.x/download.html", + "version": "4.4.4", + "versionsuffix": "", + "name": "CubeGUI" +}, +{ + "toolchain": "GCCcore/10.2.0", + "description": "Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource. Each dimension can be represented as a tree, where non-leaf nodes of the tree can be collapsed or expanded to achieve the desired level of granularity. This module provides the Cube graphical report explorer.", + "homepage": "https://www.scalasca.org/software/cube-4.x/download.html", + "version": "4.6", + "versionsuffix": "", + "name": "CubeGUI" +}, +{ + "toolchain": "GCCcore/10.3.0", + "description": "Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource. Each dimension can be represented as a tree, where non-leaf nodes of the tree can be collapsed or expanded to achieve the desired level of granularity. This module provides the Cube graphical report explorer.", + "homepage": "https://www.scalasca.org/software/cube-4.x/download.html", + "version": "4.6", + "versionsuffix": "", + "name": "CubeGUI" +}, +{ + "toolchain": "GCCcore/11.3.0", + "description": "Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource. Each dimension can be represented as a tree, where non-leaf nodes of the tree can be collapsed or expanded to achieve the desired level of granularity. This module provides the Cube graphical report explorer.", + "homepage": "https://www.scalasca.org/software/cube-4.x/download.html", + "version": "4.8", + "versionsuffix": "", + "name": "CubeGUI" +}, +{ + "toolchain": "GCCcore/8.2.0", + "description": "Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource. Each dimension can be represented as a tree, where non-leaf nodes of the tree can be collapsed or expanded to achieve the desired level of granularity. This module provides the Cube general purpose C++ library component and command-line tools.", + "homepage": "https://www.scalasca.org/software/cube-4.x/download.html", + "version": "4.4.4", + "versionsuffix": "", + "name": "CubeLib" +}, +{ + "toolchain": "GCCcore/8.3.0", + "description": "Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource. Each dimension can be represented as a tree, where non-leaf nodes of the tree can be collapsed or expanded to achieve the desired level of granularity. This module provides the Cube general purpose C++ library component and command-line tools.", + "homepage": "https://www.scalasca.org/software/cube-4.x/download.html", + "version": "4.4.4", + "versionsuffix": "", + "name": "CubeLib" +}, +{ + "toolchain": "GCCcore/9.3.0", + "description": "Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource. Each dimension can be represented as a tree, where non-leaf nodes of the tree can be collapsed or expanded to achieve the desired level of granularity. This module provides the Cube general purpose C++ library component and command-line tools.", + "homepage": "https://www.scalasca.org/software/cube-4.x/download.html", + "version": "4.4.4", + "versionsuffix": "", + "name": "CubeLib" +}, +{ + "toolchain": "GCCcore/10.2.0", + "description": "Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource. Each dimension can be represented as a tree, where non-leaf nodes of the tree can be collapsed or expanded to achieve the desired level of granularity. This module provides the Cube general purpose C++ library component and command-line tools.", + "homepage": "https://www.scalasca.org/software/cube-4.x/download.html", + "version": "4.6", + "versionsuffix": "", + "name": "CubeLib" +}, +{ + "toolchain": "GCCcore/10.3.0", + "description": "Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource. Each dimension can be represented as a tree, where non-leaf nodes of the tree can be collapsed or expanded to achieve the desired level of granularity. This module provides the Cube general purpose C++ library component and command-line tools.", + "homepage": "https://www.scalasca.org/software/cube-4.x/download.html", + "version": "4.6", + "versionsuffix": "", + "name": "CubeLib" +}, +{ + "toolchain": "GCCcore/11.2.0", + "description": "Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource. Each dimension can be represented as a tree, where non-leaf nodes of the tree can be collapsed or expanded to achieve the desired level of granularity. This module provides the Cube general purpose C++ library component and command-line tools.", + "homepage": "https://www.scalasca.org/software/cube-4.x/download.html", + "version": "4.8", + "versionsuffix": "", + "name": "CubeLib" +}, +{ + "toolchain": "GCCcore/11.3.0", + "description": "Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource. Each dimension can be represented as a tree, where non-leaf nodes of the tree can be collapsed or expanded to achieve the desired level of granularity. This module provides the Cube general purpose C++ library component and command-line tools.", + "homepage": "https://www.scalasca.org/software/cube-4.x/download.html", + "version": "4.8", + "versionsuffix": "", + "name": "CubeLib" +}, +{ + "toolchain": "GCCcore/12.2.0", + "description": "Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource. Each dimension can be represented as a tree, where non-leaf nodes of the tree can be collapsed or expanded to achieve the desired level of granularity. This module provides the Cube general purpose C++ library component and command-line tools.", + "homepage": "https://www.scalasca.org/software/cube-4.x/download.html", + "version": "4.8.1", + "versionsuffix": "", + "name": "CubeLib" +}, +{ + "toolchain": "GCCcore/12.3.0", + "description": "Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource. Each dimension can be represented as a tree, where non-leaf nodes of the tree can be collapsed or expanded to achieve the desired level of granularity. This module provides the Cube general purpose C++ library component and command-line tools.", + "homepage": "https://www.scalasca.org/software/cube-4.x/download.html", + "version": "4.8.1", + "versionsuffix": "", + "name": "CubeLib" +}, +{ + "toolchain": "GCCcore/10.2.0", + "description": "Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource. Each dimension can be represented as a tree, where non-leaf nodes of the tree can be collapsed or expanded to achieve the desired level of granularity. This module provides the Cube high-performance C writer library component.", + "homepage": "https://www.scalasca.org/software/cube-4.x/download.html", + "version": "4.4.3", + "versionsuffix": "", + "name": "CubeWriter" +}, +{ + "toolchain": "GCCcore/8.2.0", + "description": "Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource. Each dimension can be represented as a tree, where non-leaf nodes of the tree can be collapsed or expanded to achieve the desired level of granularity. This module provides the Cube high-performance C writer library component.", + "homepage": "https://www.scalasca.org/software/cube-4.x/download.html", + "version": "4.4.3", + "versionsuffix": "", + "name": "CubeWriter" +}, +{ + "toolchain": "GCCcore/8.3.0", + "description": "Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource. Each dimension can be represented as a tree, where non-leaf nodes of the tree can be collapsed or expanded to achieve the desired level of granularity. This module provides the Cube high-performance C writer library component.", + "homepage": "https://www.scalasca.org/software/cube-4.x/download.html", + "version": "4.4.3", + "versionsuffix": "", + "name": "CubeWriter" +}, +{ + "toolchain": "GCCcore/9.3.0", + "description": "Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource. Each dimension can be represented as a tree, where non-leaf nodes of the tree can be collapsed or expanded to achieve the desired level of granularity. This module provides the Cube high-performance C writer library component.", + "homepage": "https://www.scalasca.org/software/cube-4.x/download.html", + "version": "4.4.3", + "versionsuffix": "", + "name": "CubeWriter" +}, +{ + "toolchain": "GCCcore/10.2.0", + "description": "Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource. Each dimension can be represented as a tree, where non-leaf nodes of the tree can be collapsed or expanded to achieve the desired level of granularity. This module provides the Cube high-performance C writer library component.", + "homepage": "https://www.scalasca.org/software/cube-4.x/download.html", + "version": "4.6", + "versionsuffix": "", + "name": "CubeWriter" +}, +{ + "toolchain": "GCCcore/10.3.0", + "description": "Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource. Each dimension can be represented as a tree, where non-leaf nodes of the tree can be collapsed or expanded to achieve the desired level of granularity. This module provides the Cube high-performance C writer library component.", + "homepage": "https://www.scalasca.org/software/cube-4.x/download.html", + "version": "4.6", + "versionsuffix": "", + "name": "CubeWriter" +}, +{ + "toolchain": "GCCcore/11.2.0", + "description": "Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource. Each dimension can be represented as a tree, where non-leaf nodes of the tree can be collapsed or expanded to achieve the desired level of granularity. This module provides the Cube high-performance C writer library component.", + "homepage": "https://www.scalasca.org/software/cube-4.x/download.html", + "version": "4.8", + "versionsuffix": "", + "name": "CubeWriter" +}, +{ + "toolchain": "GCCcore/11.3.0", + "description": "Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource. Each dimension can be represented as a tree, where non-leaf nodes of the tree can be collapsed or expanded to achieve the desired level of granularity. This module provides the Cube high-performance C writer library component.", + "homepage": "https://www.scalasca.org/software/cube-4.x/download.html", + "version": "4.8", + "versionsuffix": "", + "name": "CubeWriter" +}, +{ + "toolchain": "GCCcore/12.2.0", + "description": "Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource. Each dimension can be represented as a tree, where non-leaf nodes of the tree can be collapsed or expanded to achieve the desired level of granularity. This module provides the Cube high-performance C writer library component.", + "homepage": "https://www.scalasca.org/software/cube-4.x/download.html", + "version": "4.8.1", + "versionsuffix": "", + "name": "CubeWriter" +}, +{ + "toolchain": "GCCcore/12.3.0", + "description": "Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource. Each dimension can be represented as a tree, where non-leaf nodes of the tree can be collapsed or expanded to achieve the desired level of granularity. This module provides the Cube high-performance C writer library component.", + "homepage": "https://www.scalasca.org/software/cube-4.x/download.html", + "version": "4.8.1", + "versionsuffix": "", + "name": "CubeWriter" +}, +{ + "toolchain": "fosscuda/2019b", + "description": "Metagenomic classifier for CUDA-enabled GPUs", + "homepage": "https://github.com/Funatiq/cuclark", + "version": "1.1", + "versionsuffix": "", + "name": "CuCLARK" +}, +{ + "toolchain": "system", + "description": "CUDA (formerly Compute Unified Device Architecture) is a parallel computing platform and programming model created by NVIDIA and implemented by the graphics processing units (GPUs) that they produce. CUDA gives developers access to the virtual instruction set and memory of the parallel computational elements in CUDA GPUs.", + "homepage": "https://developer.nvidia.com/cuda-toolkit", + "version": "10.0.130", + "versionsuffix": "", + "name": "CUDA" +}, +{ + "toolchain": "GCC/8.2.0-2.31.1", + "description": "CUDA (formerly Compute Unified Device Architecture) is a parallel computing platform and programming model created by NVIDIA and implemented by the graphics processing units (GPUs) that they produce. CUDA gives developers access to the virtual instruction set and memory of the parallel computational elements in CUDA GPUs.", + "homepage": "https://developer.nvidia.com/cuda-toolkit", + "version": "10.1.105", + "versionsuffix": "", + "name": "CUDA" +}, +{ + "toolchain": "iccifort/2019.1.144-GCC-8.2.0-2.31.1", + "description": "CUDA (formerly Compute Unified Device Architecture) is a parallel computing platform and programming model created by NVIDIA and implemented by the graphics processing units (GPUs) that they produce. 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CUDA gives developers access to the virtual instruction set and memory of the parallel computational elements in CUDA GPUs.", + "homepage": "https://developer.nvidia.com/cuda-toolkit", + "version": "10.1.243", + "versionsuffix": "", + "name": "CUDA" +}, +{ + "toolchain": "system", + "description": "CUDA (formerly Compute Unified Device Architecture) is a parallel computing platform and programming model created by NVIDIA and implemented by the graphics processing units (GPUs) that they produce. CUDA gives developers access to the virtual instruction set and memory of the parallel computational elements in CUDA GPUs.", + "homepage": "https://developer.nvidia.com/cuda-toolkit", + "version": "10.1.243", + "versionsuffix": "", + "name": "CUDA" +}, +{ + "toolchain": "GCC/8.3.0", + "description": "CUDA (formerly Compute Unified Device Architecture) is a parallel computing platform and programming model created by NVIDIA and implemented by the graphics processing units (GPUs) that they produce. CUDA gives developers access to the virtual instruction set and memory of the parallel computational elements in CUDA GPUs.", + "homepage": "https://developer.nvidia.com/cuda-toolkit", + "version": "10.2.89", + "versionsuffix": "", + "name": "CUDA" +}, +{ + "toolchain": "GCC/9.3.0", + "description": "CUDA (formerly Compute Unified Device Architecture) is a parallel computing platform and programming model created by NVIDIA and implemented by the graphics processing units (GPUs) that they produce. CUDA gives developers access to the virtual instruction set and memory of the parallel computational elements in CUDA GPUs.", + "homepage": "https://developer.nvidia.com/cuda-toolkit", + "version": "11.0.2", + "versionsuffix": "", + "name": "CUDA" +}, +{ + "toolchain": "iccifort/2020.1.217", + "description": "CUDA (formerly Compute Unified Device Architecture) is a parallel computing platform and programming model created by NVIDIA and implemented by the graphics processing units (GPUs) that they produce. 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CUDA gives developers access to the virtual instruction set and memory of the parallel computational elements in CUDA GPUs.", + "homepage": "https://developer.nvidia.com/cuda-toolkit", + "version": "11.4.1", + "versionsuffix": "", + "name": "CUDA" +}, +{ + "toolchain": "system", + "description": "CUDA (formerly Compute Unified Device Architecture) is a parallel computing platform and programming model created by NVIDIA and implemented by the graphics processing units (GPUs) that they produce. CUDA gives developers access to the virtual instruction set and memory of the parallel computational elements in CUDA GPUs.", + "homepage": "https://developer.nvidia.com/cuda-toolkit", + "version": "11.4.2", + "versionsuffix": "", + "name": "CUDA" +}, +{ + "toolchain": "system", + "description": "CUDA (formerly Compute Unified Device Architecture) is a parallel computing platform and programming model created by NVIDIA and implemented by the graphics processing units (GPUs) that they produce. CUDA gives developers access to the virtual instruction set and memory of the parallel computational elements in CUDA GPUs.", + "homepage": "https://developer.nvidia.com/cuda-toolkit", + "version": "11.5.0", + "versionsuffix": "", + "name": "CUDA" +}, +{ + "toolchain": "system", + "description": "CUDA (formerly Compute Unified Device Architecture) is a parallel computing platform and programming model created by NVIDIA and implemented by the graphics processing units (GPUs) that they produce. CUDA gives developers access to the virtual instruction set and memory of the parallel computational elements in CUDA GPUs.", + "homepage": "https://developer.nvidia.com/cuda-toolkit", + "version": "11.5.1", + "versionsuffix": "", + "name": "CUDA" +}, +{ + "toolchain": "system", + "description": "CUDA (formerly Compute Unified Device Architecture) is a parallel computing platform and programming model created by NVIDIA and implemented by the graphics processing units (GPUs) that they produce. CUDA gives developers access to the virtual instruction set and memory of the parallel computational elements in CUDA GPUs.", + "homepage": "https://developer.nvidia.com/cuda-toolkit", + "version": "11.5.2", + "versionsuffix": "", + "name": "CUDA" +}, +{ + "toolchain": "system", + "description": "CUDA (formerly Compute Unified Device Architecture) is a parallel computing platform and programming model created by NVIDIA and implemented by the graphics processing units (GPUs) that they produce. CUDA gives developers access to the virtual instruction set and memory of the parallel computational elements in CUDA GPUs.", + "homepage": "https://developer.nvidia.com/cuda-toolkit", + "version": "11.6.0", + "versionsuffix": "", + "name": "CUDA" +}, +{ + "toolchain": "system", + "description": "CUDA (formerly Compute Unified Device Architecture) is a parallel computing platform and programming model created by NVIDIA and implemented by the graphics processing units (GPUs) that they produce. CUDA gives developers access to the virtual instruction set and memory of the parallel computational elements in CUDA GPUs.", + "homepage": "https://developer.nvidia.com/cuda-toolkit", + "version": "11.7.0", + "versionsuffix": "", + "name": "CUDA" +}, +{ + "toolchain": "system", + "description": "CUDA (formerly Compute Unified Device Architecture) is a parallel computing platform and programming model created by NVIDIA and implemented by the graphics processing units (GPUs) that they produce. CUDA gives developers access to the virtual instruction set and memory of the parallel computational elements in CUDA GPUs.", + "homepage": "https://developer.nvidia.com/cuda-toolkit", + "version": "11.8.0", + "versionsuffix": "", + "name": "CUDA" +}, +{ + "toolchain": "system", + "description": "CUDA (formerly Compute Unified Device Architecture) is a parallel computing platform and programming model created by NVIDIA and implemented by the graphics processing units (GPUs) that they produce. CUDA gives developers access to the virtual instruction set and memory of the parallel computational elements in CUDA GPUs.", + "homepage": "https://developer.nvidia.com/cuda-toolkit", + "version": "12.0.0", + "versionsuffix": "", + "name": "CUDA" +}, +{ + "toolchain": "system", + "description": "CUDA (formerly Compute Unified Device Architecture) is a parallel computing platform and programming model created by NVIDIA and implemented by the graphics processing units (GPUs) that they produce. CUDA gives developers access to the virtual instruction set and memory of the parallel computational elements in CUDA GPUs.", + "homepage": "https://developer.nvidia.com/cuda-toolkit", + "version": "12.1.0", + "versionsuffix": "", + "name": "CUDA" +}, +{ + "toolchain": "system", + "description": "CUDA (formerly Compute Unified Device Architecture) is a parallel computing platform and programming model created by NVIDIA and implemented by the graphics processing units (GPUs) that they produce. 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It only uses communication during report generation, typically at the end of the experiment, to merge results from all of the tasks into one output file.", + "homepage": "http://mpip.sourceforge.net/", + "version": "3.4.1", + "versionsuffix": "", + "name": "mpiP" +}, +{ + "toolchain": "foss/2016a", + "description": "MPJ Express is an open source Java message passing library that allows application developers to write and execute parallel applications for multicore processors and compute clusters/clouds.", + "homepage": "http://mpj-express.org/", + "version": "0.44", + "versionsuffix": "-Java-1.8.0_92", + "name": "MPJ-Express" +}, +{ + "toolchain": "foss/2016a", + "description": "mpmath can be used as an arbitrary-precision substitute for Python's float/complex types and math/cmath modules, but also does much more advanced mathematics. 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Almost any calculation can be performed just as well at 10-digit or 1000-digit precision, with either real or complex numbers, and in many cases mpmath implements efficient algorithms that scale well for extremely high precision work.", + "homepage": "https://mpmath.org/", + "version": "1.2.1", + "versionsuffix": "", + "name": "mpmath" +}, +{ + "toolchain": "GCCcore/11.3.0", + "description": "mpmath can be used as an arbitrary-precision substitute for Python's float/complex types and math/cmath modules, but also does much more advanced mathematics. Almost any calculation can be performed just as well at 10-digit or 1000-digit precision, with either real or complex numbers, and in many cases mpmath implements efficient algorithms that scale well for extremely high precision work.", + "homepage": "https://mpmath.org/", + "version": "1.2.1", + "versionsuffix": "", + "name": "mpmath" +}, +{ + "toolchain": "foss/2016a", + "description": "MrBayes is a program for the Bayesian estimation of phylogeny.", + "homepage": "http://mrbayes.csit.fsu.edu", + "version": "3.2.6", + "versionsuffix": "", + "name": "MrBayes" +}, +{ + "toolchain": "foss/2017a", + "description": "MrBayes is a program for the Bayesian estimation of phylogeny.", + "homepage": "http://mrbayes.csit.fsu.edu", + "version": "3.2.6", + "versionsuffix": "", + "name": "MrBayes" +}, +{ + "toolchain": "gompi/2020b", + "description": "MrBayes is a program for Bayesian inference and model choice across a wide range of phylogenetic and evolutionary models.", + "homepage": "https://nbisweden.github.io/MrBayes/", + "version": "3.2.6", + "versionsuffix": "", + "name": "MrBayes" +}, +{ + "toolchain": "gompi/2020b", + "description": "MrBayes is a program for Bayesian inference and model choice across a wide range of phylogenetic and evolutionary models.", + "homepage": "https://nbisweden.github.io/MrBayes/", + "version": "3.2.7", + "versionsuffix": "", + "name": "MrBayes" +}, +{ + "toolchain": "gompi/2022a", + "description": "MrBayes is a program for Bayesian inference and model choice across a wide range of phylogenetic and evolutionary models.", + "homepage": "https://nbisweden.github.io/MrBayes/", + "version": "3.2.7", + "versionsuffix": "", + "name": "MrBayes" +}, +{ + "toolchain": "gompic/2019b", + "description": "MrBayes is a program for Bayesian inference and model choice across a wide range of phylogenetic and evolutionary models.", + "homepage": "https://nbisweden.github.io/MrBayes/", + "version": "3.2.7", + "versionsuffix": "", + "name": "MrBayes" +}, +{ + "toolchain": "foss/2020a", + "description": "MrBayes is a program for the Bayesian estimation of phylogeny.", + "homepage": "http://mrbayes.csit.fsu.edu", + "version": "3.2.7a", + "versionsuffix": "", + "name": "MrBayes" +}, +{ + "toolchain": "iimpi/2019a", + "description": "MrBayes is a program for Bayesian inference and model choice across a wide range of phylogenetic and evolutionary models.", + "homepage": "https://nbisweden.github.io/MrBayes/", + "version": "3.2.7a", + "versionsuffix": "", + "name": "MrBayes" +}, +{ + "toolchain": "foss/2020b", + "description": "mrcfile is a Python implementation of the MRC2014 file format, which is used in structural biology to store image and volume data. 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You can use it interactively to inspect files, correct headers and so on, or in scripts and larger software packages to provide basic MRC file I/O functions.", + "homepage": "https://github.com/ccpem/mrcfile", + "version": "1.3.0", + "versionsuffix": "", + "name": "mrcfile" +}, +{ + "toolchain": "foss/2020a", + "description": "MRChem is a numerical real-space code for molecular electronic structure calculations within the self-consistent field (SCF) approximations of quantum chemistry: Hartree-Fock and Density Functional Theory.", + "homepage": "https://mrchem.readthedocs.io", + "version": "1.0.0", + "versionsuffix": "-Python-3.8.2", + "name": "MRChem" +}, +{ + "toolchain": "foss/2022a", + "description": "MRChem is a numerical real-space code for molecular electronic structure calculations within the self-consistent field (SCF) approximations of quantum chemistry: Hartree-Fock and Density Functional Theory.", + "homepage": "https://mrchem.readthedocs.io", + "version": "1.1.1", + "versionsuffix": "", + "name": "MRChem" +}, +{ + "toolchain": "foss/2020a", + "description": "MultiResolution Computation Program Package", + "homepage": "https://mrcpp.readthedocs.io", + "version": "1.3.6", + "versionsuffix": "", + "name": "MRCPP" +}, +{ + "toolchain": "foss/2022a", + "description": "MultiResolution Computation Program Package", + "homepage": "https://mrcpp.readthedocs.io", + "version": "1.4.1", + "versionsuffix": "", + "name": "MRCPP" +}, +{ + "toolchain": "system", + "description": "MRIcron allows viewing of medical images. It includes tools to complement SPM and FSL. Native format is NIFTI but includes a conversion program (see dcm2nii) for converting DICOM images. Features layers, ROIs, and volume rendering.", + "homepage": "http://www.mccauslandcenter.sc.edu/mricro/mricron", + "version": "1.0.20180614", + "versionsuffix": "", + "name": "MRIcron" +}, +{ + "toolchain": "system", + "description": "MRIcron allows viewing of medical images. It includes tools to complement SPM and FSL. Native format is NIFTI but includes a conversion program (see dcm2nii) for converting DICOM images. Features layers, ROIs, and volume rendering.", + "homepage": "http://www.mccauslandcenter.sc.edu/mricro/mricron/", + "version": "20150601", + "versionsuffix": "", + "name": "MRIcron" +}, +{ + "toolchain": "foss/2022a", + "description": "Performs the Mendelian Randomization Pleiotropy RESidual Sum and Outlier (MR-PRESSO) method..", + "homepage": "https://github.com/rondolab/MR-PRESSO", + "version": "1.0-20230502", + "versionsuffix": "", + "name": "MRPRESSO" +}, +{ + "toolchain": "intel/2016a", + "description": "MRtrix provides a set of tools to perform diffusion-weighted MR white-matter tractography in a manner robust to crossing fibres, using constrained spherical deconvolution (CSD) and probabilistic streamlines.", + "homepage": "http://www.brain.org.au/software/index.html#mrtrix", + "version": "0.3.14", + "versionsuffix": "-Python-2.7.11", + "name": "MRtrix" +}, +{ + "toolchain": "intel/2016b", + "description": "MRtrix provides a set of tools to perform diffusion-weighted MR white-matter tractography in a manner robust to crossing fibres, using constrained spherical deconvolution (CSD) and probabilistic streamlines.", + "homepage": "http://www.brain.org.au/software/index.html#mrtrix", + "version": "0.3.15", + "versionsuffix": "-Python-2.7.12", + "name": "MRtrix" +}, +{ + "toolchain": "foss/2019b", + "description": "MRtrix provides a set of tools to perform diffusion-weighted MR white-matter tractography in a manner robust to crossing fibres, using constrained spherical deconvolution (CSD) and probabilistic streamlines.", + "homepage": "http://www.brain.org.au/software/index.html#mrtrix", + "version": "3.0-rc-20191217", + "versionsuffix": "-Python-2.7.16", + "name": "MRtrix" +}, +{ + "toolchain": "foss/2019b", + "description": "MRtrix provides a set of tools to perform diffusion-weighted MR white-matter tractography in a manner robust to crossing fibres, using constrained spherical deconvolution (CSD) and probabilistic streamlines.", + "homepage": "http://www.brain.org.au/software/index.html#mrtrix", + "version": "3.0-rc-20191217", + "versionsuffix": "-Python-3.7.4", + "name": "MRtrix" +}, +{ + "toolchain": "foss/2020a", + "description": "MRtrix provides a set of tools to perform diffusion-weighted MR white-matter tractography in a manner robust to crossing fibres, using constrained spherical deconvolution (CSD) and probabilistic streamlines.", + "homepage": "http://www.brain.org.au/software/index.html#mrtrix", + "version": "3.0.0", + "versionsuffix": "-Python-3.8.2", + "name": "MRtrix" +}, +{ + "toolchain": "foss/2021a", + "description": "MRtrix provides a set of tools to perform diffusion-weighted MR white-matter tractography in a manner robust to crossing fibres, using constrained spherical deconvolution (CSD) and probabilistic streamlines.", + "homepage": "http://www.brain.org.au/software/index.html#mrtrix", + "version": "3.0.3", + "versionsuffix": "", + "name": "MRtrix" +}, +{ + "toolchain": "foss/2022b", + "description": "MRtrix provides a set of tools to perform diffusion-weighted MR white-matter tractography in a manner robust to crossing fibres, using constrained spherical deconvolution (CSD) and probabilistic streamlines.", + "homepage": "http://www.brain.org.au/software/index.html#mrtrix", + "version": "3.0.4", + "versionsuffix": "", + "name": "MRtrix" +}, +{ + "toolchain": "foss/2017a", + "description": "MRtrix provides a set of tools to perform diffusion-weighted MR white-matter tractography in a manner robust to crossing fibres, using constrained spherical deconvolution (CSD) and probabilistic streamlines.", + "homepage": "http://www.brain.org.au/software/index.html#mrtrix", + "version": "3.0_RC2", + "versionsuffix": "-Python-2.7.13", + "name": "MRtrix" +}, +{ + "toolchain": "intel/2018a", + "description": "MRtrix provides a set of tools to perform diffusion-weighted MR white-matter tractography in a manner robust to crossing fibres, using constrained spherical deconvolution (CSD) and probabilistic streamlines.", + "homepage": "http://www.brain.org.au/software/index.html#mrtrix", + "version": "3.0_RC3", + "versionsuffix": "-Python-2.7.14", + "name": "MRtrix" +}, +{ + "toolchain": "GCCcore/10.2.0", + "description": "MessagePack is an efficient binary serialization format, which lets you exchange data among multiple languages like JSON, except that it's faster and smaller. Small integers are encoded into a single byte while typical short strings require only one extra byte in addition to the strings themselves.", + "homepage": "http://msgpack.org/", + "version": "3.3.0", + "versionsuffix": "", + "name": "msgpack-c" +}, +{ + "toolchain": "GCC/12.2.0", + "description": "MessagePack is an efficient binary serialization format, which lets you exchange data among multiple languages like JSON, except that it's faster and smaller. Small integers are encoded into a single byte while typical short strings require only one extra byte in addition to the strings themselves.", + "homepage": "http://msgpack.org/", + "version": "6.0.0", + "versionsuffix": "", + "name": "msgpack-c" +}, +{ + "toolchain": "foss/2017b", + "description": "Multimodal Surface Matching with Higher order Clique Reduction", + "homepage": "https://github.com/ecr05/MSM_HOCR", + "version": "1.0", + "versionsuffix": "", + "name": "MSM" +}, +{ + "toolchain": "intel/2017b", + "description": "Multimodal Surface Matching with Higher order Clique Reduction", + "homepage": "https://github.com/ecr05/MSM_HOCR", + "version": "1.0", + "versionsuffix": "", + "name": "MSM" +}, +{ + "toolchain": "system", + "description": "Using combined evidence from replicates to evaluate ChIP-seq peaks", + "homepage": "https://genometric.github.io/MSPC/", + "version": "3.3.1", + "versionsuffix": "", + "name": "MSPC" +}, +{ + "toolchain": "intel/2019a", + "description": "msprime is a coalescent simulator and library for processing tree-based genetic data.", + "homepage": "https://msprime.readthedocs.io", + "version": "0.7.0", + "versionsuffix": "-Python-3.7.2", + "name": "msprime" +}, +{ + "toolchain": "foss/2021b", + "description": "msprime is a coalescent simulator and library for processing tree-based genetic data.", + "homepage": "https://msprime.readthedocs.io", + "version": "1.2.0", + "versionsuffix": "", + "name": "msprime" +}, +{ + "toolchain": "foss/2022a", + "description": "msprime is a coalescent simulator and library for processing tree-based genetic data.", + "homepage": "https://msprime.readthedocs.io", + "version": "1.2.0", + "versionsuffix": "", + "name": "msprime" +}, +{ + "toolchain": "GCC/11.2.0", + "description": "Molecular structure store for testing", + "homepage": "https://github.com/grimme-lab/mstore", + "version": "0.2.0", + "versionsuffix": "", + "name": "mstore" +}, +{ + "toolchain": "GCCcore/11.3.0", + "description": "Molecular structure store for testing", + "homepage": "https://github.com/grimme-lab/mstore", + "version": "0.2.0", + "versionsuffix": "", + "name": "mstore" +}, +{ + "toolchain": "system", + "description": "The Matrix Template Library 4 incorporates the most modern programming techniques to provide an easy and intuitive interface to users while enabling optimal performance. The natural mathematical notation in MTL4 empowers all engineers and scientists to implement their algorithms and models in minimal time. All technical aspects are encapsulated in the library.", + "homepage": "http://www.simunova.com/mtl4", + "version": "4.0.8878", + "versionsuffix": "", + "name": "MTL4" +}, +{ + "toolchain": "system", + "description": "The Matrix Template Library 4 incorporates the most modern programming techniques to provide an easy and intuitive interface to users while enabling optimal performance. The natural mathematical notation in MTL4 empowers all engineers and scientists to implement their algorithms and models in minimal time. All technical aspects are encapsulated in the library.", + "homepage": "http://www.simunova.com/mtl4", + "version": "4.0.9555", + "versionsuffix": "", + "name": "MTL4" +}, +{ + "toolchain": "GCCcore/11.2.0", + "description": "MuJoCo stands for Multi-Joint dynamics with Contact. It is a general purpose physics engine that aims to facilitate research and development in robotics, biomechanics, graphics and animation, machine learning, and other areas which demand fast and accurate simulation of articulated structures interacting with their environment.", + "homepage": "https://mujoco.org/", + "version": "2.1.1", + "versionsuffix": "", + "name": "MuJoCo" +}, +{ + "toolchain": "GCCcore/11.3.0", + "description": "MuJoCo stands for Multi-Joint dynamics with Contact. It is a general purpose physics engine that aims to facilitate research and development in robotics, biomechanics, graphics and animation, machine learning, and other areas which demand fast and accurate simulation of articulated structures interacting with their environment.", + "homepage": "https://mujoco.org/", + "version": "2.2.2", + "versionsuffix": "", + "name": "MuJoCo" +}, +{ + "toolchain": "foss/2021b", + "description": "MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.", + "homepage": "https://github.com/openai/mujoco-py", + "version": "2.1.2.14", + "versionsuffix": "", + "name": "mujoco-py" +}, +{ + "toolchain": "GCCcore/10.2.0", + "description": "generate multiset combinations (n multichoose k).", + "homepage": "https://github.com/ekg/multichoose", + "version": "1.0.3", + "versionsuffix": "", + "name": "multichoose" +}, +{ + "toolchain": "GCCcore/10.3.0", + "description": "generate multiset combinations (n multichoose k).", + "homepage": "https://github.com/ekg/multichoose", + "version": "1.0.3", + "versionsuffix": "", + "name": "multichoose" +}, +{ + "toolchain": "GCCcore/11.2.0", + "description": "generate multiset combinations (n multichoose k).", + "homepage": "https://github.com/ekg/multichoose", + "version": "1.0.3", + "versionsuffix": "", + "name": "multichoose" +}, +{ + "toolchain": "GCCcore/11.3.0", + "description": "generate multiset combinations (n multichoose k).", + "homepage": "https://github.com/ekg/multichoose", + "version": "1.0.3", + "versionsuffix": "", + "name": "multichoose" +}, +{ + "toolchain": "GCCcore/9.3.0", + "description": "generate multiset combinations (n multichoose k).", + "homepage": "https://github.com/ekg/multichoose", + "version": "1.0.3", + "versionsuffix": "", + "name": "multichoose" +}, +{ + "toolchain": "GCC/11.2.0", + "description": "The Julia module for Multilevel Monte Carlo methods", + "homepage": "https://github.com/PieterjanRobbe/MultilevelEstimators.jl", + "version": "0.1.0", + "versionsuffix": "-Julia-1.7.2", + "name": "MultilevelEstimators" +}, +{ + "toolchain": "intel/2016a", + "description": "MultiNest is a Bayesian inference tool which calculates the evidence and explores the parameter space which may contain multiple posterior modes and pronounced (curving) degeneracies in moderately high dimensions.", + "homepage": "https://ccpforge.cse.rl.ac.uk/gf/project/multinest/", + "version": "3.10", + "versionsuffix": "", + "name": "MultiNest" +}, +{ + "toolchain": "foss/2016b", + "description": "Aggregate results from bioinformatics analyses across many samples into a single report. 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Most users learn everything they need to know about MUSCLE in a few minutes-only a handful of command-line options are needed to perform common alignment tasks.", + "homepage": "https://drive5.com/muscle/", + "version": "3.8.1551", + "versionsuffix": "", + "name": "MUSCLE" +}, +{ + "toolchain": "GCC/7.3.0-2.30", + "description": "MUSCLE is one of the best-performing multiple alignment programs according to published benchmark tests, with accuracy and speed that are consistently better than CLUSTALW. MUSCLE can align hundreds of sequences in seconds. Most users learn everything they need to know about MUSCLE in a few minutes-only a handful of command-line options are needed to perform common alignment tasks.", + "homepage": "https://drive5.com/muscle/", + "version": "3.8.31", + "versionsuffix": "", + "name": "MUSCLE" +}, +{ + "toolchain": "GCCcore/10.2.0", + "description": "MUSCLE is one of the best-performing multiple alignment programs according to published benchmark tests, with accuracy and speed that are consistently better than CLUSTALW. MUSCLE can align hundreds of sequences in seconds. Most users learn everything they need to know about MUSCLE in a few minutes-only a handful of command-line options are needed to perform common alignment tasks.", + "homepage": "https://drive5.com/muscle/", + "version": "3.8.31", + "versionsuffix": "", + "name": "MUSCLE" +}, +{ + "toolchain": "GCCcore/10.3.0", + "description": "MUSCLE is one of the best-performing multiple alignment programs according to published benchmark tests, with accuracy and speed that are consistently better than CLUSTALW. MUSCLE can align hundreds of sequences in seconds. Most users learn everything they need to know about MUSCLE in a few minutes-only a handful of command-line options are needed to perform common alignment tasks.", + "homepage": "https://drive5.com/muscle/", + "version": "3.8.31", + "versionsuffix": "", + "name": "MUSCLE" +}, +{ + "toolchain": "GCCcore/11.2.0", + "description": "MUSCLE is one of the best-performing multiple alignment programs according to published benchmark tests, with accuracy and speed that are consistently better than CLUSTALW. MUSCLE can align hundreds of sequences in seconds. Most users learn everything they need to know about MUSCLE in a few minutes-only a handful of command-line options are needed to perform common alignment tasks.", + "homepage": "https://drive5.com/muscle/", + "version": "3.8.31", + "versionsuffix": "", + "name": "MUSCLE" +}, +{ + "toolchain": "GCCcore/9.3.0", + "description": "MUSCLE is one of the best-performing multiple alignment programs according to published benchmark tests, with accuracy and speed that are consistently better than CLUSTALW. MUSCLE can align hundreds of sequences in seconds. Most users learn everything they need to know about MUSCLE in a few minutes-only a handful of command-line options are needed to perform common alignment tasks.", + "homepage": "https://drive5.com/muscle/", + "version": "3.8.31", + "versionsuffix": "", + "name": "MUSCLE" +}, +{ + "toolchain": "foss/2016a", + "description": "MUSCLE is one of the best-performing multiple alignment programs according to published benchmark tests, with accuracy and speed that are consistently better than CLUSTALW. MUSCLE can align hundreds of sequences in seconds. Most users learn everything they need to know about MUSCLE in a few minutes\u2014only a handful of command-line options are needed to perform common alignment tasks.", + "homepage": "https://drive5.com/muscle/", + "version": "3.8.31", + "versionsuffix": "", + "name": "MUSCLE" +}, +{ + "toolchain": "foss/2017b", + "description": "MUSCLE is one of the best-performing multiple alignment programs according to published benchmark tests, with accuracy and speed that are consistently better than CLUSTALW. MUSCLE can align hundreds of sequences in seconds. Most users learn everything they need to know about MUSCLE in a few minutes-only a handful of command-line options are needed to perform common alignment tasks.", + "homepage": "https://drive5.com/muscle/", + "version": "3.8.31", + "versionsuffix": "", + "name": "MUSCLE" +}, +{ + "toolchain": "foss/2018a", + "description": "MUSCLE is one of the best-performing multiple alignment programs according to published benchmark tests, with accuracy and speed that are consistently better than CLUSTALW. MUSCLE can align hundreds of sequences in seconds. Most users learn everything they need to know about MUSCLE in a few minutes-only a handful of command-line options are needed to perform common alignment tasks.", + "homepage": "https://drive5.com/muscle/", + "version": "3.8.31", + "versionsuffix": "", + "name": "MUSCLE" +}, +{ + "toolchain": "system", + "description": "MUSCLE is a program for creating multiple alignments of amino acid or nucleotide sequences. A range of options is provided that give you the choice of optimizing accuracy, speed, or some compromise between the two.", + "homepage": "https://drive5.com/muscle/", + "version": "3.8.31", + "versionsuffix": "-i86linux64", + "name": "MUSCLE" +}, +{ + "toolchain": "intel/2016a", + "description": "MUSCLE is one of the best-performing multiple alignment programs according to published benchmark tests, with accuracy and speed that are consistently better than CLUSTALW. MUSCLE can align hundreds of sequences in seconds. Most users learn everything they need to know about MUSCLE in a few minutes\u2014only a handful of command-line options are needed to perform common alignment tasks.", + "homepage": "https://drive5.com/muscle/", + "version": "3.8.31", + "versionsuffix": "", + "name": "MUSCLE" +}, +{ + "toolchain": "intel/2017b", + "description": "MUSCLE is one of the best-performing multiple alignment programs according to published benchmark tests, with accuracy and speed that are consistently better than CLUSTALW. MUSCLE can align hundreds of sequences in seconds. Most users learn everything they need to know about MUSCLE in a few minutes-only a handful of command-line options are needed to perform common alignment tasks.", + "homepage": "https://drive5.com/muscle/", + "version": "3.8.31", + "versionsuffix": "", + "name": "MUSCLE" +}, +{ + "toolchain": "intel/2018a", + "description": "MUSCLE is one of the best-performing multiple alignment programs according to published benchmark tests, with accuracy and speed that are consistently better than CLUSTALW. MUSCLE can align hundreds of sequences in seconds. Most users learn everything they need to know about MUSCLE in a few minutes-only a handful of command-line options are needed to perform common alignment tasks.", + "homepage": "https://drive5.com/muscle/", + "version": "3.8.31", + "versionsuffix": "", + "name": "MUSCLE" +}, +{ + "toolchain": "intel/2018b", + "description": "MUSCLE is one of the best-performing multiple alignment programs according to published benchmark tests, with accuracy and speed that are consistently better than CLUSTALW. MUSCLE can align hundreds of sequences in seconds. Most users learn everything they need to know about MUSCLE in a few minutes-only a handful of command-line options are needed to perform common alignment tasks.", + "homepage": "https://drive5.com/muscle/", + "version": "3.8.31", + "versionsuffix": "", + "name": "MUSCLE" +}, +{ + "toolchain": "GCCcore/10.3.0", + "description": "MUSCLE is one of the best-performing multiple alignment programs according to published benchmark tests, with accuracy and speed that are consistently better than CLUSTALW. MUSCLE can align hundreds of sequences in seconds. Most users learn everything they need to know about MUSCLE in a few minutes-only a handful of command-line options are needed to perform common alignment tasks.", + "homepage": "https://drive5.com/muscle/", + "version": "5.0.1428", + "versionsuffix": "", + "name": "MUSCLE" +}, +{ + "toolchain": "GCCcore/11.2.0", + "description": "MUSCLE is one of the best-performing multiple alignment programs according to published benchmark tests, with accuracy and speed that are consistently better than CLUSTALW. MUSCLE can align hundreds of sequences in seconds. Most users learn everything they need to know about MUSCLE in a few minutes-only a handful of command-line options are needed to perform common alignment tasks.", + "homepage": "https://drive5.com/muscle/", + "version": "5.1", + "versionsuffix": "", + "name": "MUSCLE" +}, +{ + "toolchain": "GCCcore/10.3.0", + "description": "MUSCLE is one of the best-performing multiple alignment programs according to published benchmark tests, with accuracy and speed that are consistently better than CLUSTALW. MUSCLE can align hundreds of sequences in seconds. Most users learn everything they need to know about MUSCLE in a few minutes-only a handful of command-line options are needed to perform common alignment tasks.", + "homepage": "https://drive5.com/muscle/", + "version": "5.1.0", + "versionsuffix": "", + "name": "MUSCLE" +}, +{ + "toolchain": "GCCcore/11.3.0", + "description": "MUSCLE is one of the best-performing multiple alignment programs according to published benchmark tests, with accuracy and speed that are consistently better than CLUSTALW. MUSCLE can align hundreds of sequences in seconds. Most users learn everything they need to know about MUSCLE in a few minutes-only a handful of command-line options are needed to perform common alignment tasks.", + "homepage": "https://drive5.com/muscle/", + "version": "5.1.0", + "versionsuffix": "", + "name": "MUSCLE" +}, +{ + "toolchain": "foss/2022b", + "description": "MUSCLE3 allows connecting multiple simulation models together into a multiscale simulation. Simulation models can be as simple as a single Python file, or as complex as a combination of multiple separate simulation codes written in C++ or Fortran, and running on an HPC machine.", + "homepage": "https://muscle3.readthedocs.io/en/latest/index.html", + "version": "0.7.0", + "versionsuffix": "", + "name": "MUSCLE3" +}, +{ + "toolchain": "foss/2018b", + "description": "Multi-subject Single Cell deconvolution (MuSiC) is a deconvolution method that utilizes cross-subject scRNA-seq to estimate cell type proportions in bulk RNA-seq data.", + "homepage": "https://github.com/xuranw/MuSiC", + "version": "1.6.2", + "versionsuffix": "-R-3.5.1", + "name": "MuSiC" +}, +{ + "toolchain": "foss/2018b", + "description": "MUST detects usage errors of the Message Passing Interface (MPI) and reports them to the user. As MPI calls are complex and usage errors common, this functionality is extremely helpful for application developers that want to develop correct MPI applications. This includes errors that already manifest \u2013 segmentation faults or incorrect results \u2013 as well as many errors that are not visible to the application developer or do not manifest on a certain system or MPI implementation.", + "homepage": "https://hpc.rwth-aachen.de/must/", + "version": "1.6", + "versionsuffix": "-Python-3.6.6", + "name": "MUST" +}, +{ + "toolchain": "foss/2019b", + "description": "MUST detects usage errors of the Message Passing Interface (MPI) and reports them to the user. As MPI calls are complex and usage errors common, this functionality is extremely helpful for application developers that want to develop correct MPI applications. This includes errors that already manifest \u2013 segmentation faults or incorrect results \u2013 as well as many errors that are not visible to the application developer or do not manifest on a certain system or MPI implementation.", + "homepage": "https://hpc.rwth-aachen.de/must/", + "version": "1.6", + "versionsuffix": "-Python-3.7.4", + "name": "MUST" +}, +{ + "toolchain": "foss/2020b", + "description": "MUST detects usage errors of the Message Passing Interface (MPI) and reports them to the user. As MPI calls are complex and usage errors common, this functionality is extremely helpful for application developers that want to develop correct MPI applications. This includes errors that already manifest \u2013 segmentation faults or incorrect results \u2013 as well as many errors that are not visible to the application developer or do not manifest on a certain system or MPI implementation.", + "homepage": "https://hpc.rwth-aachen.de/must/", + "version": "1.7.1", + "versionsuffix": "", + "name": "MUST" +}, +{ + "toolchain": "foss/2021a", + "description": "MUST detects usage errors of the Message Passing Interface (MPI) and reports them to the user. As MPI calls are complex and usage errors common, this functionality is extremely helpful for application developers that want to develop correct MPI applications. This includes errors that already manifest \u2013 segmentation faults or incorrect results \u2013 as well as many errors that are not visible to the application developer or do not manifest on a certain system or MPI implementation.", + "homepage": "https://hpc.rwth-aachen.de/must/", + "version": "1.7.2", + "versionsuffix": "", + "name": "MUST" +}, +{ + "toolchain": "system", + "description": "MuTect is a method developed at the Broad Institute for the reliable and accurate identification of somatic point mutations in next generation sequencing data of cancer genomes.", + "homepage": "http://www.broadinstitute.org/cancer/cga/mutect", + "version": "1.1.4", + "versionsuffix": "-Java-1.7.0_76", + "name": "MuTect" +}, +{ + "toolchain": "system", + "description": "MuTect is a method developed at the Broad Institute for the reliable and accurate identification of somatic point mutations in next generation sequencing data of cancer genomes.", + "homepage": "http://www.broadinstitute.org/cancer/cga/mutect", + "version": "1.1.4", + "versionsuffix": "-Java-1.7.0_80", + "name": "MuTect" +}, +{ + "toolchain": "system", + "description": "MuTect is a method developed at the Broad Institute for the reliable and accurate identification of somatic point mutations in next generation sequencing data of cancer genomes.", + "homepage": "http://www.broadinstitute.org/cancer/cga/mutect", + "version": "1.1.7", + "versionsuffix": "-Java-1.7.0_80", + "name": "MuTect" +}, +{ + "toolchain": "intel/2016a", + "description": "Mutil is a set of standard utilities that have been parallelized to maximize performance on modern file systems. These currently include multi-threaded drop-in replacements for cp and md5sum from GNU coreutils, which have achieved 10/30x rates on one/many nodes.", + "homepage": "http://people.nas.nasa.gov/~kolano/projects/mutil.html", + "version": "1.822.3", + "versionsuffix": "", + "name": "mutil" +}, +{ + "toolchain": "GCC/4.8.4", + "description": "This is an MPI 3.0 implementation. It is based on MPICH2 and MVICH.", + "homepage": "http://mvapich.cse.ohio-state.edu/overview/mvapich2/", + "version": "2.0.1", + "versionsuffix": "", + "name": "MVAPICH2" +}, +{ + "toolchain": "GCC/4.9.3-2.25", + "description": "This is an MPI 3.0 implementation. It is based on MPICH2 and MVICH.", + "homepage": "http://mvapich.cse.ohio-state.edu/overview/mvapich2/", + "version": "2.1", + "versionsuffix": "", + "name": "MVAPICH2" +}, +{ + "toolchain": "GCC/4.9.3-2.25", + "description": "This is an MPI 3.0 implementation. It is based on MPICH2 and MVICH.", + "homepage": "http://mvapich.cse.ohio-state.edu/overview/mvapich2/", + "version": "2.2b", + "versionsuffix": "", + "name": "MVAPICH2" +}, +{ + "toolchain": "GCC/11.3.0", + "description": "MView reformats the results of a sequence database search or a multiple alignment, optionally adding HTML markup.", + "homepage": "https://desmid.github.io/mview/", + "version": "1.67", + "versionsuffix": "", + "name": "MView" +}, +{ + "toolchain": "GCCcore/8.3.0", + "description": "Mini-XML is a tiny XML library that you can use to read and write XML and XML-like data files in your application without requiring large non-standard libraries.", + "homepage": "https://github.com/michaelrsweet/mxml", + "version": "3.2", + "versionsuffix": "", + "name": "mxml" +}, +{ + "toolchain": "GCC/9.3.0", + "description": "Mxml is a pure C library (yet having an object oriented layout) that is meant to help developers implementing XML file interpretation in their projects.", + "homepage": "http://mxml.sourceforge.net", + "version": "0.9.2", + "versionsuffix": "", + "name": "mxmlplus" +}, +{ + "toolchain": "foss/2016b", + "description": "Flexible and Efficient Library for Deep Learning", + "homepage": "https://mxnet.io/", + "version": "0.9.3", + "versionsuffix": "-Python-2.7.12-R-3.3.3", + "name": "MXNet" +}, +{ + "toolchain": "foss/2022a", + "description": "Flexible and Efficient Library for Deep Learning", + "homepage": "https://mxnet.io/", + "version": "1.9.1", + "versionsuffix": "", + "name": "MXNet" +}, +{ + "toolchain": "intel/2019b", + "description": "MyCC is built and delivered as a tailored solution for metagenomics sequencesclassfication.", + "homepage": "https://sourceforge.net/projects/sb2nhri/files/MyCC/", + "version": "2017-03-01", + "versionsuffix": "-Python-2.7.16", + "name": "MyCC" +}, +{ + "toolchain": "intel/2019a", + "description": "Python Client for MyGene.Info services.", + "homepage": "https://github.com/biothings/mygene.py", + "version": "3.1.0", + "versionsuffix": "", + "name": "mygene" +}, +{ + "toolchain": "foss/2022a", + "description": "Python Client for MyGene.Info services.", + "homepage": "https://github.com/biothings/mygene.py", + "version": "3.2.2", + "versionsuffix": "", + "name": "mygene" +}, +{ + "toolchain": "intel/2016b", + "description": "MyMediaLite is a lightweight, multi-purpose library of recommender system algorithms.", + "homepage": "http://www.ismll.uni-hildesheim.de/mymedialite/", + "version": "3.10", + "versionsuffix": "", + "name": "MyMediaLite" +}, +{ + "toolchain": "intel/2016b", + "description": "MyMediaLite is a lightweight, multi-purpose library of recommender system algorithms.", + "homepage": "http://www.ismll.uni-hildesheim.de/mymedialite/", + "version": "3.11", + "versionsuffix": "", + "name": "MyMediaLite" +}, +{ + "toolchain": "intel/2017a", + "description": "MyMediaLite is a lightweight, multi-purpose library of recommender system algorithms.", + "homepage": "http://www.ismll.uni-hildesheim.de/mymedialite/", + "version": "3.12", + "versionsuffix": "", + "name": "MyMediaLite" +}, +{ + "toolchain": "intel/2016a", + "description": "A mpi4py based random pair pingpong network stress test.", + "homepage": "https://github.com/hpcugent/mympingpong", + "version": "0.7.0", + "versionsuffix": "-Python-2.7.11", + "name": "mympingpong" +}, +{ + "toolchain": "intel/2016b", + "description": "A mpi4py based random pair pingpong network stress test.", + "homepage": "https://github.com/hpcugent/mympingpong", + "version": "0.7.1", + "versionsuffix": "-Python-2.7.12", + "name": "mympingpong" +}, +{ + "toolchain": "foss/2019a", + "description": "A mpi4py based random pair pingpong network stress test.", + "homepage": "https://github.com/hpcugent/mympingpong", + "version": "0.8.0", + "versionsuffix": "-Python-2.7.15", + "name": "mympingpong" +}, +{ + "toolchain": "intel/2017a", + "description": "A mpi4py based random pair pingpong network stress test.", + "homepage": "https://github.com/hpcugent/mympingpong", + "version": "0.8.0", + "versionsuffix": "-Python-2.7.13", + "name": "mympingpong" +}, +{ + "toolchain": "intel/2018a", + "description": "A mpi4py based random pair pingpong network stress test.", + "homepage": "https://github.com/hpcugent/mympingpong", + "version": "0.8.0", + "versionsuffix": "-Python-2.7.14", + "name": "mympingpong" +}, +{ + "toolchain": "intel/2019a", + "description": "A mpi4py based random pair pingpong network stress test.", + "homepage": "https://github.com/hpcugent/mympingpong", + "version": "0.8.0", + "versionsuffix": "-Python-2.7.15", + "name": "mympingpong" +}, +{ + "toolchain": "foss/2020b", + "description": "Myokit is an open-source Python-based toolkit that facilitates modeling and simulation of cardiac cellular electrophysiology.", + "homepage": "http://myokit.org", + "version": "1.32.0", + "versionsuffix": "", + "name": "Myokit" +}, +{ + "toolchain": "fosscuda/2020b", + "description": "Myokit is an open-source Python-based toolkit that facilitates modeling and simulation of cardiac cellular electrophysiology.", + "homepage": "http://myokit.org", + "version": "1.32.0", + "versionsuffix": "", + "name": "Myokit" +}, +{ + "toolchain": "intel/2016b", + "description": "Optional static typing for Python", + "homepage": "http://www.mypy-lang.org/", + "version": "0.4.5", + "versionsuffix": "", + "name": "mypy" +}, +{ + "toolchain": "GNU/4.9.3-2.25", + "description": "MySQL is (as of March 2014) the world's second most widely used open-source relational database management system (RDBMS).", + "homepage": "http://www.mysql.com/", + "version": "5.6.26", + "versionsuffix": "-clientonly", + "name": "MySQL" +}, +{ + "toolchain": "GCCcore/6.4.0", + "description": "MySQL is one of the world's most widely used open-source relational database management system (RDBMS).", + "homepage": "http://www.mysql.com/", + "version": "5.7.21", + "versionsuffix": "-clientonly", + "name": "MySQL" +}, +{ + "toolchain": "intel/2016a", + "description": "MySQL database connector for Python", + "homepage": "https://github.com/farcepest/MySQLdb1", + "version": "1.2.5", + "versionsuffix": "-Python-2.7.11-MariaDB-10.1.14", + "name": "MySQL-python" +}, +{ + "toolchain": "intel/2016a", + "description": "MySQL database connector for Python", + "homepage": "https://github.com/farcepest/MySQLdb1", + "version": "1.2.5", + "versionsuffix": "-Python-2.7.11", + "name": "MySQL-python" +}, +{ + "toolchain": "foss/2016a", + "description": "Python interface to MySQL", + "homepage": "https://github.com/PyMySQL/mysqlclient-python", + "version": "1.3.7", + "versionsuffix": "-Python-2.7.11", + "name": "mysqlclient" +}, +{ + "toolchain": "intel/2016a", + "description": "Python interface to MySQL", + "homepage": "https://github.com/PyMySQL/mysqlclient-python", + "version": "1.3.7", + "versionsuffix": "-Python-2.7.11", + "name": "mysqlclient" +}, +{ + "toolchain": "foss/2021a", + "description": "Noise2Void - Learning Denoising from Single Noisy Images The field of image denoising is currently dominated by discriminative deep learning methods that are trained on pairs of noisy input and clean target images. Recently it has been shown that such methods can also be trained without clean targets. Instead, independent pairs of noisy images can be used, in an approach known as NOISE2NOISE (N2N). Here, we introduce NOISE2VOID (N2V), a training scheme that takes this idea one step further. It does not require noisy image pairs, nor clean target images. Consequently, N2V allows us to train directly on the body of data to be denoised and can therefore be applied when other methods cannot. Especially interesting is the application to biomedical image data, where the acquisition of training targets, clean or noisy, is frequently not possible. We compare the performance of N2V to approaches that have either clean target images and/or noisy image pairs available. Intuitively, N2V cannot be expected to outperform methods that have more information available during training. Still, we observe that the denoising performance of NOISE2VOID drops in moderation and compares favorably to training-free denoising methods.", + "homepage": "https://github.com/juglab/n2v", + "version": "0.3.2", + "versionsuffix": "-CUDA-11.3.1", + "name": "n2v" +}, +{ + "toolchain": "foss/2022a", + "description": "Learning Denoising from Single Noisy Images", + "homepage": "https://github.com/juglab/n2v", + "version": "0.3.2", + "versionsuffix": "", + "name": "n2v" +}, +{ + "toolchain": "PGI/17.4-GCC-6.4.0-2.28", + "description": "The worlds largest collection of robust, documented, tested and maintained numerical algorithms.", + "homepage": "http://www.nag.co.uk", + "version": "24", + "versionsuffix": "", + "name": "NAG" +}, +{ + "toolchain": "GCCcore/6.4.0", + "description": "The worlds largest collection of robust, documented, tested and maintained numerical algorithms.", + "homepage": "http://www.nag.co.uk", + "version": "26", + "versionsuffix": "", + "name": "NAG" +}, +{ + "toolchain": "intel/2018a", + "description": "The worlds largest collection of robust, documented, tested and maintained numerical algorithms.", + "homepage": "http://www.nag.co.uk", + "version": "26", + "versionsuffix": "", + "name": "NAG" +}, +{ + "toolchain": "gompi/2022b", + "description": "The worlds largest collection of robust, documented, tested and maintained numerical algorithms.", + "homepage": "http://www.nag.co.uk", + "version": "7.1", + "versionsuffix": "", + "name": "NAG" +}, +{ + "toolchain": "system", + "description": "The checking compiler for improved code portability and detailed error reporting.", + "homepage": "http://www.nag.co.uk", + "version": "6.2.14", + "versionsuffix": "", + "name": "NAGfor" +}, +{ + "toolchain": "system", + "description": "The checking compiler for improved code portability and detailed error reporting.", + "homepage": "http://www.nag.co.uk", + "version": "7.1", + "versionsuffix": "", + "name": "NAGfor" +}, +{ + "toolchain": "intel/2016a", 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The libnuma library provides convenient ways for you to add NUMA memory policies into your own program.", + "homepage": "http://oss.sgi.com/projects/libnuma/", + "version": "2.0.11", + "versionsuffix": "", + "name": "numactl" +}, +{ + "toolchain": "GCCcore/7.3.0", + "description": "The numactl program allows you to run your application program on specific cpu's and memory nodes. It does this by supplying a NUMA memory policy to the operating system before running your program. The libnuma library provides convenient ways for you to add NUMA memory policies into your own program.", + "homepage": "http://oss.sgi.com/projects/libnuma/", + "version": "2.0.11", + "versionsuffix": "", + "name": "numactl" +}, +{ + "toolchain": "foss/2016a", + "description": "The numactl program allows you to run your application program on specific cpu's and memory nodes. It does this by supplying a NUMA memory policy to the operating system before running your program. The libnuma library provides convenient ways for you to add NUMA memory policies into your own program.", + "homepage": "http://oss.sgi.com/projects/libnuma/", + "version": "2.0.11", + "versionsuffix": "", + "name": "numactl" +}, +{ + "toolchain": "iccifort/2016.3.210-GCC-4.9.3-2.25", + "description": "The numactl program allows you to run your application program on specific cpu's and memory nodes. It does this by supplying a NUMA memory policy to the operating system before running your program. The libnuma library provides convenient ways for you to add NUMA memory policies into your own program.", + "homepage": "http://oss.sgi.com/projects/libnuma/", + "version": "2.0.11", + "versionsuffix": "", + "name": "numactl" +}, +{ + "toolchain": "iccifort/2016.3.210-GCC-5.4.0-2.26", + "description": "The numactl program allows you to run your application program on specific cpu's and memory nodes. It does this by supplying a NUMA memory policy to the operating system before running your program. The libnuma library provides convenient ways for you to add NUMA memory policies into your own program.", + "homepage": "http://oss.sgi.com/projects/libnuma/", + "version": "2.0.11", + "versionsuffix": "", + "name": "numactl" +}, +{ + "toolchain": "intel/2016a", + "description": "The numactl program allows you to run your application program on specific cpu's and memory nodes. It does this by supplying a NUMA memory policy to the operating system before running your program. The libnuma library provides convenient ways for you to add NUMA memory policies into your own program.", + "homepage": "http://oss.sgi.com/projects/libnuma/", + "version": "2.0.11", + "versionsuffix": "", + "name": "numactl" +}, +{ + "toolchain": "intel/2016b", + "description": "The numactl program allows you to run your application program on specific cpu's and memory nodes. It does this by supplying a NUMA memory policy to the operating system before running your program. The libnuma library provides convenient ways for you to add NUMA memory policies into your own program.", + "homepage": "http://oss.sgi.com/projects/libnuma/", + "version": "2.0.11", + "versionsuffix": "", + "name": "numactl" +}, +{ + "toolchain": "GCCcore/8.2.0", + "description": "The numactl program allows you to run your application program on specific cpu's and memory nodes. It does this by supplying a NUMA memory policy to the operating system before running your program. The libnuma library provides convenient ways for you to add NUMA memory policies into your own program.", + "homepage": "http://oss.sgi.com/projects/libnuma/", + "version": "2.0.12", + "versionsuffix": "", + "name": "numactl" +}, +{ + "toolchain": "GCCcore/8.3.0", + "description": "The numactl program allows you to run your application program on specific cpu's and memory nodes. It does this by supplying a NUMA memory policy to the operating system before running your program. The libnuma library provides convenient ways for you to add NUMA memory policies into your own program.", + "homepage": "http://oss.sgi.com/projects/libnuma/", + "version": "2.0.12", + "versionsuffix": "", + "name": "numactl" +}, +{ + "toolchain": "GCCcore/10.2.0", + "description": "The numactl program allows you to run your application program on specific cpu's and memory nodes. It does this by supplying a NUMA memory policy to the operating system before running your program. The libnuma library provides convenient ways for you to add NUMA memory policies into your own program.", + "homepage": "https://github.com/numactl/numactl", + "version": "2.0.13", + "versionsuffix": "", + "name": "numactl" +}, +{ + "toolchain": "GCCcore/9.2.0", + "description": "The numactl program allows you to run your application program on specific cpu's and memory nodes. It does this by supplying a NUMA memory policy to the operating system before running your program. The libnuma library provides convenient ways for you to add NUMA memory policies into your own program.", + "homepage": "http://oss.sgi.com/projects/libnuma/", + "version": "2.0.13", + "versionsuffix": "", + "name": "numactl" +}, +{ + "toolchain": "GCCcore/9.3.0", + "description": "The numactl program allows you to run your application program on specific cpu's and memory nodes. It does this by supplying a NUMA memory policy to the operating system before running your program. The libnuma library provides convenient ways for you to add NUMA memory policies into your own program.", + "homepage": "https://github.com/numactl/numactl", + "version": "2.0.13", + "versionsuffix": "", + "name": "numactl" +}, +{ + "toolchain": "GCCcore/10.3.0", + "description": "The numactl program allows you to run your application program on specific cpu's and memory nodes. It does this by supplying a NUMA memory policy to the operating system before running your program. The libnuma library provides convenient ways for you to add NUMA memory policies into your own program.", + "homepage": "https://github.com/numactl/numactl", + "version": "2.0.14", + "versionsuffix": "", + "name": "numactl" +}, +{ + "toolchain": "GCCcore/11.2.0", + "description": "The numactl program allows you to run your application program on specific cpu's and memory nodes. It does this by supplying a NUMA memory policy to the operating system before running your program. The libnuma library provides convenient ways for you to add NUMA memory policies into your own program.", + "homepage": "https://github.com/numactl/numactl", + "version": "2.0.14", + "versionsuffix": "", + "name": "numactl" +}, +{ + "toolchain": "GCCcore/11.3.0", + "description": "The numactl program allows you to run your application program on specific cpu's and memory nodes. It does this by supplying a NUMA memory policy to the operating system before running your program. The libnuma library provides convenient ways for you to add NUMA memory policies into your own program.", + "homepage": "https://github.com/numactl/numactl", + "version": "2.0.14", + "versionsuffix": "", + "name": "numactl" +}, +{ + "toolchain": "GCCcore/12.2.0", + "description": "The numactl program allows you to run your application program on specific cpu's and memory nodes. It does this by supplying a NUMA memory policy to the operating system before running your program. The libnuma library provides convenient ways for you to add NUMA memory policies into your own program.", + "homepage": "https://github.com/numactl/numactl", + "version": "2.0.16", + "versionsuffix": "", + "name": "numactl" +}, +{ + "toolchain": "GCCcore/12.3.0", + "description": "The numactl program allows you to run your application program on specific cpu's and memory nodes. It does this by supplying a NUMA memory policy to the operating system before running your program. The libnuma library provides convenient ways for you to add NUMA memory policies into your own program.", + "homepage": "https://github.com/numactl/numactl", + "version": "2.0.16", + "versionsuffix": "", + "name": "numactl" +}, +{ + "toolchain": "GCCcore/13.2.0", + "description": "The numactl program allows you to run your application program on specific cpu's and memory nodes. It does this by supplying a NUMA memory policy to the operating system before running your program. The libnuma library provides convenient ways for you to add NUMA memory policies into your own program.", + "homepage": "https://github.com/numactl/numactl", + "version": "2.0.16", + "versionsuffix": "", + "name": "numactl" +}, +{ + "toolchain": "GCC/4.8.3", + "description": "The numactl program allows you to run your application program on specific cpu's and memory nodes. It does this by supplying a NUMA memory policy to the operating system before running your program. The libnuma library provides convenient ways for you to add NUMA memory policies into your own program.", + "homepage": "http://oss.sgi.com/projects/libnuma/", + "version": "2.0.9", + "versionsuffix": "", + "name": "numactl" +}, +{ + "toolchain": "intel/2016a", + "description": "Numba is an Open Source NumPy-aware optimizing compiler for Python sponsored by Continuum Analytics, Inc. It uses the remarkable LLVM compiler infrastructure to compile Python syntax to machine code.", + "homepage": "https://numba.pydata.org/", + "version": "0.24.0", + "versionsuffix": "-Python-2.7.11", + "name": "numba" +}, +{ + "toolchain": "intel/2016a", + "description": "Numba is an Open Source NumPy-aware optimizing compiler for Python sponsored by Continuum Analytics, Inc. It uses the remarkable LLVM compiler infrastructure to compile Python syntax to machine code.", + "homepage": "https://numba.pydata.org/", + "version": "0.24.0", + "versionsuffix": "-Python-3.5.1", + "name": "numba" +}, +{ + "toolchain": "intel/2016a", + "description": "Numba is an Open Source NumPy-aware optimizing compiler for Python sponsored by Continuum Analytics, Inc. It uses the remarkable LLVM compiler infrastructure to compile Python syntax to machine code.", + "homepage": "https://numba.pydata.org/", + "version": "0.26.0", + "versionsuffix": "-Python-2.7.11", + "name": "numba" +}, +{ + "toolchain": "intel/2017a", + "description": "Numba is an Open Source NumPy-aware optimizing compiler for Python sponsored by Continuum Analytics, Inc. It uses the remarkable LLVM compiler infrastructure to compile Python syntax to machine code.", + "homepage": "https://numba.pydata.org/", + "version": "0.32.0", + "versionsuffix": "-Python-2.7.13", + "name": "numba" +}, +{ + "toolchain": "foss/2018a", + "description": "Numba is an Open Source NumPy-aware optimizing compiler for Python sponsored by Continuum Analytics, Inc. It uses the remarkable LLVM compiler infrastructure to compile Python syntax to machine code.", + "homepage": "https://numba.pydata.org/", + "version": "0.37.0", + "versionsuffix": "-Python-2.7.14", + "name": "numba" +}, +{ + "toolchain": "foss/2018a", + "description": "Numba is an Open Source NumPy-aware optimizing compiler for Python sponsored by Continuum Analytics, Inc. It uses the remarkable LLVM compiler infrastructure to compile Python syntax to machine code.", + "homepage": "https://numba.pydata.org/", + "version": "0.37.0", + "versionsuffix": "-Python-3.6.4", + "name": "numba" +}, +{ + "toolchain": "intel/2017b", + "description": "Numba is an Open Source NumPy-aware optimizing compiler for Python sponsored by Continuum Analytics, Inc. It uses the remarkable LLVM compiler infrastructure to compile Python syntax to machine code.", + "homepage": "https://numba.pydata.org/", + "version": "0.37.0", + "versionsuffix": "-Python-2.7.14", + "name": "numba" +}, +{ + "toolchain": "intel/2018a", + "description": "Numba is an Open Source NumPy-aware optimizing compiler for Python sponsored by Continuum Analytics, Inc. It uses the remarkable LLVM compiler infrastructure to compile Python syntax to machine code.", + "homepage": "https://numba.pydata.org/", + "version": "0.37.0", + "versionsuffix": "-Python-3.6.4", + "name": "numba" +}, +{ + "toolchain": "foss/2018b", + "description": "Numba is an Open Source NumPy-aware optimizing compiler for Python sponsored by Continuum Analytics, Inc. It uses the remarkable LLVM compiler infrastructure to compile Python syntax to machine code.", + "homepage": "https://numba.pydata.org/", + "version": "0.39.0", + "versionsuffix": "-Python-3.6.6", + "name": "numba" +}, +{ + "toolchain": "intel/2019a", + "description": "Numba is an Open Source NumPy-aware optimizing compiler for Python sponsored by Continuum Analytics, Inc. It uses the remarkable LLVM compiler infrastructure to compile Python syntax to machine code.", + "homepage": "https://numba.pydata.org/", + "version": "0.43.1", + "versionsuffix": "", + "name": "numba" +}, +{ + "toolchain": "foss/2019a", + "description": "Numba is an Open Source NumPy-aware optimizing compiler for Python sponsored by Continuum Analytics, Inc. It uses the remarkable LLVM compiler infrastructure to compile Python syntax to machine code.", + "homepage": "https://numba.pydata.org/", + "version": "0.46.0", + "versionsuffix": "", + "name": "numba" +}, +{ + "toolchain": "foss/2019b", + "description": "Numba is an Open Source NumPy-aware optimizing compiler for Python sponsored by Continuum Analytics, Inc. It uses the remarkable LLVM compiler infrastructure to compile Python syntax to machine code.", + "homepage": "https://numba.pydata.org/", + "version": "0.47.0", + "versionsuffix": "-Python-3.7.4", + "name": "numba" +}, +{ + "toolchain": "fosscuda/2019b", + "description": "Numba is an Open Source NumPy-aware optimizing compiler for Python sponsored by Continuum Analytics, Inc. It uses the remarkable LLVM compiler infrastructure to compile Python syntax to machine code.", + "homepage": "https://numba.pydata.org/", + "version": "0.47.0", + "versionsuffix": "-Python-3.7.4", + "name": "numba" +}, +{ + "toolchain": "foss/2020a", + "description": "Numba is an Open Source NumPy-aware optimizing compiler for Python sponsored by Continuum Analytics, Inc. It uses the remarkable LLVM compiler infrastructure to compile Python syntax to machine code.", + "homepage": "https://numba.pydata.org/", + "version": "0.50.0", + "versionsuffix": "-Python-3.8.2", + "name": "numba" +}, +{ + "toolchain": "intel/2020a", + "description": "Numba is an Open Source NumPy-aware optimizing compiler for Python sponsored by Continuum Analytics, Inc. It uses the remarkable LLVM compiler infrastructure to compile Python syntax to machine code.", + "homepage": "https://numba.pydata.org/", + "version": "0.50.0", + "versionsuffix": "-Python-3.8.2", + "name": "numba" +}, +{ + "toolchain": "foss/2020a", + "description": "Numba is an Open Source NumPy-aware optimizing compiler for Python sponsored by Continuum Analytics, Inc. It uses the remarkable LLVM compiler infrastructure to compile Python syntax to machine code.", + "homepage": "https://numba.pydata.org/", + "version": "0.50.1", + "versionsuffix": "-Python-3.8.2", + "name": "numba" +}, +{ + "toolchain": "foss/2020a", + "description": "Numba is an Open Source NumPy-aware optimizing compiler for Python sponsored by Continuum Analytics, Inc. It uses the remarkable LLVM compiler infrastructure to compile Python syntax to machine code.", + "homepage": "https://numba.pydata.org/", + "version": "0.52.0", + "versionsuffix": "-Python-3.8.2", + "name": "numba" +}, +{ + "toolchain": "foss/2020b", + "description": "Numba is an Open Source NumPy-aware optimizing compiler for Python sponsored by Continuum Analytics, Inc. It uses the remarkable LLVM compiler infrastructure to compile Python syntax to machine code.", + "homepage": "https://numba.pydata.org/", + "version": "0.52.0", + "versionsuffix": "", + "name": "numba" +}, +{ + "toolchain": "fosscuda/2020b", + "description": "Numba is an Open Source NumPy-aware optimizing compiler for Python sponsored by Continuum Analytics, Inc. It uses the remarkable LLVM compiler infrastructure to compile Python syntax to machine code.", + "homepage": "https://numba.pydata.org/", + "version": "0.52.0", + "versionsuffix": "", + "name": "numba" +}, +{ + "toolchain": "intel/2020b", + "description": "Numba is an Open Source NumPy-aware optimizing compiler for Python sponsored by Continuum Analytics, Inc. It uses the remarkable LLVM compiler infrastructure to compile Python syntax to machine code.", + "homepage": "https://numba.pydata.org/", + "version": "0.52.0", + "versionsuffix": "", + "name": "numba" +}, +{ + "toolchain": "foss/2020b", + "description": "Numba is an Open Source NumPy-aware optimizing compiler for Python sponsored by Continuum Analytics, Inc. It uses the remarkable LLVM compiler infrastructure to compile Python syntax to machine code.", + "homepage": "https://numba.pydata.org/", + "version": "0.53.1", + "versionsuffix": "", + "name": "numba" +}, +{ + "toolchain": "foss/2021a", + "description": "Numba is an Open Source NumPy-aware optimizing compiler for Python sponsored by Continuum Analytics, Inc. It uses the remarkable LLVM compiler infrastructure to compile Python syntax to machine code.", + "homepage": "https://numba.pydata.org/", + "version": "0.53.1", + "versionsuffix": "", + "name": "numba" +}, +{ + "toolchain": "fosscuda/2020b", + "description": "Numba is an Open Source NumPy-aware optimizing compiler for Python sponsored by Continuum Analytics, Inc. It uses the remarkable LLVM compiler infrastructure to compile Python syntax to machine code.", + "homepage": "https://numba.pydata.org/", + "version": "0.53.1", + "versionsuffix": "", + "name": "numba" +}, +{ + "toolchain": "foss/2021b", + "description": "Numba is an Open Source NumPy-aware optimizing compiler for Python sponsored by Continuum Analytics, Inc. It uses the remarkable LLVM compiler infrastructure to compile Python syntax to machine code.", + "homepage": "https://numba.pydata.org/", + "version": "0.54.1", + "versionsuffix": "-CUDA-11.4.1", + "name": "numba" +}, +{ + "toolchain": "foss/2021b", + "description": "Numba is an Open Source NumPy-aware optimizing compiler for Python sponsored by Continuum Analytics, Inc. It uses the remarkable LLVM compiler infrastructure to compile Python syntax to machine code.", + "homepage": "https://numba.pydata.org/", + "version": "0.54.1", + "versionsuffix": "", + "name": "numba" +}, +{ + "toolchain": "intel/2021b", + "description": "Numba is an Open Source NumPy-aware optimizing compiler for Python sponsored by Continuum Analytics, Inc. It uses the remarkable LLVM compiler infrastructure to compile Python syntax to machine code.", + "homepage": "https://numba.pydata.org/", + "version": "0.54.1", + "versionsuffix": "", + "name": "numba" +}, +{ + "toolchain": "foss/2022a", + "description": "Numba is an Open Source NumPy-aware optimizing compiler for Python sponsored by Continuum Analytics, Inc. It uses the remarkable LLVM compiler infrastructure to compile Python syntax to machine code.", + "homepage": "https://numba.pydata.org/", + "version": "0.56.4", + "versionsuffix": "-CUDA-11.7.0", + "name": "numba" +}, +{ + "toolchain": "foss/2022a", + "description": "Numba is an Open Source NumPy-aware optimizing compiler for Python sponsored by Continuum Analytics, Inc. It uses the remarkable LLVM compiler infrastructure to compile Python syntax to machine code.", + "homepage": "https://numba.pydata.org/", + "version": "0.56.4", + "versionsuffix": "", + "name": "numba" +}, +{ + "toolchain": "GCCcore/10.2.0", + "description": "Numdiff (which I will also write numdiff) is a little program that can be used to compare putatively similar files line by line and field by field, ignoring small numeric differences or/and different numeric formats. Equivalently, Numdiff is a program with the capability to appropriately compare files containing numerical fields (and not only).", + "homepage": "https://www.nongnu.org/numdiff/", + "version": "5.9.0", + "versionsuffix": "", + "name": "numdiff" +}, +{ + "toolchain": "GCCcore/12.2.0", + "description": "Numdiff (which I will also write numdiff) is a little program that can be used to compare putatively similar files line by line and field by field, ignoring small numeric differences or/and different numeric formats. Equivalently, Numdiff is a program with the capability to appropriately compare files containing numerical fields (and not only).", + "homepage": "https://www.nongnu.org/numdiff/", + "version": "5.9.0", + "versionsuffix": "", + "name": "numdiff" +}, +{ + "toolchain": "intel/2016a", + "description": "The numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it on the fly into code for its internal virtual machine (VM). Due to its integrated just-in-time (JIT) compiler, it does not require a compiler at runtime.", + "homepage": "http://code.google.com/p/numexpr/", + "version": "2.5.2", + "versionsuffix": "-Python-2.7.11", + "name": "numexpr" +}, +{ + "toolchain": "foss/2016b", + "description": "The numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it on the fly into code for its internal virtual machine (VM). Due to its integrated just-in-time (JIT) compiler, it does not require a compiler at runtime.", + "homepage": "http://code.google.com/p/numexpr/", + "version": "2.6.1", + "versionsuffix": "-Python-2.7.12", + "name": "numexpr" +}, +{ + "toolchain": "intel/2016b", + "description": "The numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it on the fly into code for its internal virtual machine (VM). Due to its integrated just-in-time (JIT) compiler, it does not require a compiler at runtime.", + "homepage": "http://code.google.com/p/numexpr/", + "version": "2.6.1", + "versionsuffix": "-Python-2.7.12", + "name": "numexpr" +}, +{ + "toolchain": "intel/2016b", + "description": "The numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it on the fly into code for its internal virtual machine (VM). Due to its integrated just-in-time (JIT) compiler, it does not require a compiler at runtime.", + "homepage": "http://code.google.com/p/numexpr/", + "version": "2.6.1", + "versionsuffix": "-Python-3.5.2", + "name": "numexpr" +}, +{ + "toolchain": "foss/2016a", + "description": "The numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it on the fly into code for its internal virtual machine (VM). Due to its integrated just-in-time (JIT) compiler, it does not require a compiler at runtime.", + "homepage": "http://code.google.com/p/numexpr/", + "version": "2.6.4", + "versionsuffix": "-Python-3.5.1", + "name": "numexpr" +}, +{ + "toolchain": "foss/2017a", + "description": "The numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it on the fly into code for its internal virtual machine (VM). Due to its integrated just-in-time (JIT) compiler, it does not require a compiler at runtime.", + "homepage": "http://code.google.com/p/numexpr/", + "version": "2.6.4", + "versionsuffix": "-Python-2.7.13", + "name": "numexpr" +}, +{ + "toolchain": "foss/2018a", + "description": "The numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it on the fly into code for its internal virtual machine (VM). Due to its integrated just-in-time (JIT) compiler, it does not require a compiler at runtime.", + "homepage": "http://code.google.com/p/numexpr/", + "version": "2.6.4", + "versionsuffix": "-Python-3.6.4", + "name": "numexpr" +}, +{ + "toolchain": "intel/2017a", + "description": "The numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it on the fly into code for its internal virtual machine (VM). Due to its integrated just-in-time (JIT) compiler, it does not require a compiler at runtime.", + "homepage": "http://code.google.com/p/numexpr/", + "version": "2.6.4", + "versionsuffix": "-Python-3.6.1", + "name": "numexpr" +}, +{ + "toolchain": "intel/2017b", + "description": "The numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it on the fly into code for its internal virtual machine (VM). 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It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it on the fly into code for its internal virtual machine (VM). Due to its integrated just-in-time (JIT) compiler, it does not require a compiler at runtime.", + "homepage": "http://code.google.com/p/numexpr/", + "version": "2.6.4", + "versionsuffix": "-Python-3.6.4", + "name": "numexpr" +}, +{ + "toolchain": "foss/2018b", + "description": "The numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it on the fly into code for its internal virtual machine (VM). 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Adapters on the ends of reads are trimmed off, and when a read has an adapter in its middle, it is treated as chimeric and chopped into separate reads. Porechop performs thorough alignments to effectively find adapters, even at low sequence identity", + "homepage": "https://github.com/rrwick/Porechop", + "version": "0.2.3", + "versionsuffix": "-Python-3.5.2", + "name": "Porechop" +}, +{ + "toolchain": "GCCcore/10.3.0", + "description": "Porechop is a tool for finding and removing adapters from Oxford Nanopore reads. Adapters on the ends of reads are trimmed off, and when a read has an adapter in its middle, it is treated as chimeric and chopped into separate reads. Porechop performs thorough alignments to effectively find adapters, even at low sequence identity", + "homepage": "https://github.com/rrwick/Porechop", + "version": "0.2.4", + "versionsuffix": "", + "name": "Porechop" +}, +{ + "toolchain": "GCCcore/11.2.0", + "description": "Porechop is a tool for finding and removing adapters from Oxford Nanopore reads. Adapters on the ends of reads are trimmed off, and when a read has an adapter in its middle, it is treated as chimeric and chopped into separate reads. Porechop performs thorough alignments to effectively find adapters, even at low sequence identity", + "homepage": "https://github.com/rrwick/Porechop", + "version": "0.2.4", + "versionsuffix": "", + "name": "Porechop" +}, +{ + "toolchain": "foss/2018b", + "description": "Porechop is a tool for finding and removing adapters from Oxford Nanopore reads. Adapters on the ends of reads are trimmed off, and when a read has an adapter in its middle, it is treated as chimeric and chopped into separate reads. Porechop performs thorough alignments to effectively find adapters, even at low sequence identity", + "homepage": "https://github.com/rrwick/Porechop", + "version": "0.2.4", + "versionsuffix": "-Python-3.6.6", + "name": "Porechop" +}, +{ + "toolchain": "intel/2019b", + "description": "Porechop is a tool for finding and removing adapters from Oxford Nanopore reads. Adapters on the ends of reads are trimmed off, and when a read has an adapter in its middle, it is treated as chimeric and chopped into separate reads. Porechop performs thorough alignments to effectively find adapters, even at low sequence identity", + "homepage": "https://github.com/rrwick/Porechop", + "version": "0.2.4", + "versionsuffix": "-Python-3.7.4", + "name": "Porechop" +}, +{ + "toolchain": "foss/2020a", + "description": "Direct pore-scale simulation of single- and two-phase flow through confined media", + "homepage": "https://github.com/ImperialCollegeLondon/porefoam", + "version": "2021-09-21", + "versionsuffix": "", + "name": "porefoam" +}, +{ + "toolchain": "intel/2018a", + "description": "A toolkit for working with nanopore sequencing data from Oxford Nanopore.", + "homepage": "https://poretools.readthedocs.io/en/latest/", + "version": "0.6.0", + "versionsuffix": "-Python-2.7.14", + "name": "poretools" +}, +{ + "toolchain": "foss/2019b", + "description": "Portcullis stands for PORTable CULLing of Invalid Splice junctions from pre-aligned RNA-seq data. It is known that RNAseq mapping tools generate many invalid junction predictions, particularly in deep datasets with high coverage over splice sites. In order to address this, instead for creating a new RNAseq mapper, with a focus on SJ accuracy we created a tool that takes in a BAM file generated by an RNAseq mapper of the user's own choice (e.g. Tophat2, Gsnap, STAR2 or HISAT2) as input (i.e. it's portable). It then, analyses and quantifies all splice junctions in the file before, filtering (culling) those which are unlikely to be genuine. Portcullis output's junctions in a variety of formats making it suitable for downstream analysis (such as differential splicing analysis and gene modelling) without additional work. Portcullis can also filter the original BAM file removing alignments associated with bad junctions.", + "homepage": "https://github.com/maplesond/portcullis", + "version": "1.2.2", + "versionsuffix": "-Python-3.7.4", + "name": "Portcullis" +}, +{ + "toolchain": "GCCcore/11.3.0", + "description": "PortMidi is a library for software developers. It supports real-time input and output of MIDI data using a system-independent interface. PortMidi runs on Windows (using MME), Macintosh (using CoreMIDI), and Linux (using ALSA).", + "homepage": "https://github.com/PortMidi/portmidi", + "version": "2.0.4", + "versionsuffix": "", + "name": "PortMidi" +}, +{ + "toolchain": "intel/2016a", + "description": "Postgres-XL is a horizontally scalable open source SQL database cluster, flexible enough to handle varying database workloads:", + "homepage": "http://www.postgres-xl.org", + "version": "9.5r1", + "versionsuffix": "-Python-2.7.11", + "name": "Postgres-XL" +}, +{ + "toolchain": "intel/2018a", + "description": "PostgreSQL is a powerful, open source object-relational database system. It is fully ACID compliant, has full support for foreign keys, joins, views, triggers, and stored procedures (in multiple languages). It includes most SQL:2008 data types, including INTEGER, NUMERIC, BOOLEAN, CHAR, VARCHAR, DATE, INTERVAL, and TIMESTAMP. It also supports storage of binary large objects, including pictures, sounds, or video. It has native programming interfaces for C/C++, Java, .Net, Perl, Python, Ruby, Tcl, ODBC, among others, and exceptional documentation.", + "homepage": "https://www.postgresql.org/", + "version": "10.2", + "versionsuffix": "-Python-2.7.14", + "name": "PostgreSQL" +}, +{ + "toolchain": "foss/2017b", + "description": "PostgreSQL is a powerful, open source object-relational database system. It is fully ACID compliant, has full support for foreign keys, joins, views, triggers, and stored procedures (in multiple languages). It includes most SQL:2008 data types, including INTEGER, NUMERIC, BOOLEAN, CHAR, VARCHAR, DATE, INTERVAL, and TIMESTAMP. It also supports storage of binary large objects, including pictures, sounds, or video. It has native programming interfaces for C/C++, Java, .Net, Perl, Python, Ruby, Tcl, ODBC, among others, and exceptional documentation.", + "homepage": "https://www.postgresql.org/", + "version": "10.3", + "versionsuffix": "-Python-2.7.14", + "name": "PostgreSQL" +}, +{ + "toolchain": "foss/2018a", + "description": "PostgreSQL is a powerful, open source object-relational database system. It is fully ACID compliant, has full support for foreign keys, joins, views, triggers, and stored procedures (in multiple languages). It includes most SQL:2008 data types, including INTEGER, NUMERIC, BOOLEAN, CHAR, VARCHAR, DATE, INTERVAL, and TIMESTAMP. It also supports storage of binary large objects, including pictures, sounds, or video. It has native programming interfaces for C/C++, Java, .Net, Perl, Python, Ruby, Tcl, ODBC, among others, and exceptional documentation.", + "homepage": "https://www.postgresql.org/", + "version": "10.3", + "versionsuffix": "-Python-2.7.14", + "name": "PostgreSQL" +}, +{ + "toolchain": "foss/2018b", + "description": "PostgreSQL is a powerful, open source object-relational database system. It is fully ACID compliant, has full support for foreign keys, joins, views, triggers, and stored procedures (in multiple languages). It includes most SQL:2008 data types, including INTEGER, NUMERIC, BOOLEAN, CHAR, VARCHAR, DATE, INTERVAL, and TIMESTAMP. It also supports storage of binary large objects, including pictures, sounds, or video. 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It has an elegant syntax that is natural to read and easy to write.", + "homepage": "https://www.ruby-lang.org", + "version": "2.1.6", + "versionsuffix": "", + "name": "Ruby" +}, +{ + "toolchain": "intel/2016b", + "description": "Ruby is a dynamic, open source programming language with a focus on simplicity and productivity. It has an elegant syntax that is natural to read and easy to write.", + "homepage": "https://www.ruby-lang.org", + "version": "2.3.1", + "versionsuffix": "", + "name": "Ruby" +}, +{ + "toolchain": "system", + "description": "Ruby is a dynamic, open source programming language with a focus on simplicity and productivity. It has an elegant syntax that is natural to read and easy to write.", + "homepage": "https://www.ruby-lang.org", + "version": "2.3.1", + "versionsuffix": "", + "name": "Ruby" +}, +{ + "toolchain": "system", + "description": "Ruby is a dynamic, open source programming language with a focus on simplicity and productivity. It has an elegant syntax that is natural to read and easy to write.", + "homepage": "https://www.ruby-lang.org", + "version": "2.3.3", + "versionsuffix": "", + "name": "Ruby" +}, +{ + "toolchain": "system", + "description": "Ruby is a dynamic, open source programming language with a focus on simplicity and productivity. It has an elegant syntax that is natural to read and easy to write.", + "homepage": "https://www.ruby-lang.org", + "version": "2.3.4", + "versionsuffix": "", + "name": "Ruby" +}, +{ + "toolchain": "foss/2017b", + "description": "Ruby is a dynamic, open source programming language with a focus on simplicity and productivity. It has an elegant syntax that is natural to read and easy to write.", + "homepage": "https://www.ruby-lang.org", + "version": "2.4.2", + "versionsuffix": "", + "name": "Ruby" +}, +{ + "toolchain": "foss/2018a", + "description": "Ruby is a dynamic, open source programming language with a focus on simplicity and productivity. 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It uses a Hessian computation from a standard computational chemistry program as its input.", + "homepage": "https://molmod.github.io/tamkin/", + "version": "1.2.6", + "versionsuffix": "-Python-3.8.2", + "name": "TAMkin" +}, +{ + "toolchain": "GCC/11.2.0", + "description": "tantan identifies simple regions / low complexity / tandem repeats in DNA or protein sequences", + "homepage": "https://gitlab.com/mcfrith/tantan", + "version": "40", + "versionsuffix": "", + "name": "tantan" +}, +{ + "toolchain": "system", + "description": "Tool for Algorithmic Differentiation of programs.", + "homepage": "https://tapenade.gitlabpages.inria.fr/tapenade/docs/html/index.html", + "version": "3.16", + "versionsuffix": "-Java-17", + "name": "Tapenade" +}, +{ + "toolchain": "GCCcore/11.3.0", + "description": "task spooler is a Unix batch system where the tasks spooled run one after the other.", + "homepage": "http://viric.name/soft/ts/", + "version": "1.0.2", + "versionsuffix": "", + "name": "task-spooler" +}, +{ + "toolchain": "GCC/10.2.0", + "description": "A set of programs for the taxonomic analysis of nucleotide sequence data", + "homepage": "https://github.com/fungs/taxator-tk", + "version": "1.3.3", + "versionsuffix": "", + "name": "taxator-tk" +}, +{ + "toolchain": "foss/2018b", + "description": "A set of programs for the taxonomic analysis of nucleotide sequence data", + "homepage": "https://github.com/fungs/taxator-tk", + "version": "1.3.3", + "versionsuffix": "", + "name": "taxator-tk" +}, +{ + "toolchain": "gompi/2019a", + "description": "A set of programs for the taxonomic analysis of nucleotide sequence data", + "homepage": "https://github.com/fungs/taxator-tk", + "version": "1.3.3", + "versionsuffix": "", + "name": "taxator-tk" +}, +{ + "toolchain": "foss/2020b", + "description": "TBA (a Transcription factor Binding Analysis): TBA is a multi-functional machine learning tool for identifying transcription factors associated with genomic features", + "homepage": "https://github.com/jenhantao/tba", + "version": "1.0", + "versionsuffix": "", + "name": "TBA" +}, +{ + "toolchain": "system", + "description": "Intel Threading Building Blocks (Intel TBB) is a widely used, award-winning C++ template library for creating reliable, portable, and scalable parallel applications. 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+ "homepage": "https://github.com/oneapi-src/oneTBB", + "version": "2020.3", + "versionsuffix": "", + "name": "tbb" +}, +{ + "toolchain": "GCCcore/10.3.0", + "description": "Intel(R) Threading Building Blocks (Intel(R) TBB) lets you easily write parallel C++ programs that take full advantage of multicore performance, that are portable, composable and have future-proof scalability.", + "homepage": "https://github.com/oneapi-src/oneTBB", + "version": "2020.3", + "versionsuffix": "", + "name": "tbb" +}, +{ + "toolchain": "GCCcore/11.2.0", + "description": "Intel(R) Threading Building Blocks (Intel(R) TBB) lets you easily write parallel C++ programs that take full advantage of multicore performance, that are portable, composable and have future-proof scalability.", + "homepage": "https://github.com/oneapi-src/oneTBB", + "version": "2020.3", + "versionsuffix": "", + "name": "tbb" +}, +{ + "toolchain": "GCCcore/12.2.0", + "description": "Intel(R) Threading Building Blocks (Intel(R) TBB) lets you easily write parallel C++ programs that take full advantage of multicore performance, that are portable, composable and have future-proof scalability.", + "homepage": "https://github.com/oneapi-src/oneTBB", + "version": "2021.10.0", + "versionsuffix": "", + "name": "tbb" +}, +{ + "toolchain": "GCCcore/11.2.0", + "description": "Intel(R) Threading Building Blocks (Intel(R) TBB) lets you easily write parallel C++ programs that take full advantage of multicore performance, that are portable, composable and have future-proof scalability.", + "homepage": "https://github.com/oneapi-src/oneTBB", + "version": "2021.4.0", + "versionsuffix": "", + "name": "tbb" +}, +{ + "toolchain": "GCCcore/11.3.0", + "description": "Intel(R) Threading Building Blocks (Intel(R) TBB) lets you easily write parallel C++ programs that take full advantage of multicore performance, that are portable, composable and have future-proof scalability.", + "homepage": "https://github.com/oneapi-src/oneTBB", + "version": 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Intel TBB is the most proficient way to implement future-proof parallel applications that tap into the power and performance of multicore and manycore hardware platforms.", + "homepage": "https://software.intel.com/en-us/articles/intel-tbb/", + "version": "4.0.5.339", + "versionsuffix": "", + "name": "tbb" +}, +{ + "toolchain": "system", + "description": "Intel Threading Building Blocks (Intel TBB) is a widely used, award-winning C++ template library for creating reliable, portable, and scalable parallel applications. Use Intel TBB for a simple and rapid way of developing robust task-based parallel applications that scale to available processor cores, are compatible with multiple environments, and are easier to maintain. Intel TBB is the most proficient way to implement future-proof parallel applications that tap into the power and performance of multicore and manycore hardware platforms.", + "homepage": "https://software.intel.com/en-us/articles/intel-tbb/", + "version": "4.3.6.211", + "versionsuffix": "", + "name": "tbb" +}, +{ + "toolchain": "system", + "description": "Intel Threading Building Blocks (Intel TBB) is a widely used, award-winning C++ template library for creating reliable, portable, and scalable parallel applications. Use Intel TBB for a simple and rapid way of developing robust task-based parallel applications that scale to available processor cores, are compatible with multiple environments, and are easier to maintain. Intel TBB is the most proficient way to implement future-proof parallel applications that tap into the power and performance of multicore and manycore hardware platforms.", + "homepage": "https://software.intel.com/en-us/articles/intel-tbb/", + "version": "4.4.2.152", + "versionsuffix": "", + "name": "tbb" +}, +{ + "toolchain": "system", + "description": "Tbl2asn is a command-line program that automates the creation of sequence records for submission to GenBank", + "homepage": "https://www.ncbi.nlm.nih.gov/genbank/tbl2asn2/", + "version": "20180227", + "versionsuffix": "-linux64", + "name": "tbl2asn" +}, +{ + "toolchain": "system", + "description": "Tbl2asn is a command-line program that automates the creation of sequence records for submission to GenBank", + "homepage": "https://www.ncbi.nlm.nih.gov/genbank/tbl2asn2/", + "version": "20200302", + "versionsuffix": "-linux64", + "name": "tbl2asn" +}, +{ + "toolchain": "system", + "description": "Tbl2asn is a command-line program that automates the creation of sequence records for submission to GenBank", + "homepage": "https://www.ncbi.nlm.nih.gov/genbank/tbl2asn2/", + "version": "20220427", + "versionsuffix": "-linux64", + "name": "tbl2asn" +}, +{ + "toolchain": "system", + "description": "Tbl2asn is a command-line program that automates the creation of sequence records for submission to GenBank", + "homepage": "https://www.ncbi.nlm.nih.gov/genbank/tbl2asn2/", + "version": "20230713", + "versionsuffix": "-linux64", + "name": "tbl2asn" +}, +{ + "toolchain": "system", + "description": "Tbl2asn is a command-line program that automates the creation of sequence records for submission to GenBank", + "homepage": "https://www.ncbi.nlm.nih.gov/genbank/tbl2asn2/", + "version": "25.8", + "versionsuffix": "-linux64", + "name": "tbl2asn" +}, +{ + "toolchain": "system", + "description": "The Tiny C Compiler (aka TCC, tCc, or TinyCC) is an x86 and x86-64 C compiler created by Fabrice Bellard. It is designed to work for slow computers with little disk space and can run shebang style !/usr/bin/tcc . TCC is distributed under the LGPL. TCC claims to implement all of ANSI C (C89/C90),[1] much of the new ISO C99 standard, and many GNU C extensions including inline assembly.", + "homepage": "http://bellard.org/tcc/", + "version": "0.9.26", + "versionsuffix": "", + "name": "TCC" +}, +{ + "toolchain": "foss/2017a", + "description": "Tcl (Tool Command Language) is a very powerful but easy to learn dynamic programming language, suitable for a very wide range of uses, including web and desktop applications, networking, administration, testing and many more.", + "homepage": "http://www.tcl.tk/", + "version": "8.5.19", + "versionsuffix": "", + "name": "Tcl" +}, +{ + "toolchain": "GCCcore/10.2.0", + "description": "Tcl (Tool Command Language) is a very powerful but easy to learn dynamic programming language, suitable for a very wide range of uses, including web and desktop applications, networking, administration, testing and many more.", + "homepage": "https://www.tcl.tk/", + "version": "8.6.10", + "versionsuffix": "", + 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"homepage": "https://www.tcl.tk/", + "version": "8.6.13", + "versionsuffix": "", + "name": "Tcl" +}, +{ + "toolchain": "GCC/4.8.4", + "description": "Tcl (Tool Command Language) is a very powerful but easy to learn dynamic programming language, suitable for a very wide range of uses, including web and desktop applications, networking, administration, testing and many more.", + "homepage": "http://www.tcl.tk/", + "version": "8.6.3", + "versionsuffix": "", + "name": "Tcl" +}, +{ + "toolchain": "GCC/4.9.2", + "description": "Tcl (Tool Command Language) is a very powerful but easy to learn dynamic programming language, suitable for a very wide range of uses, including web and desktop applications, networking, administration, testing and many more.", + "homepage": "http://www.tcl.tk/", + "version": "8.6.3", + "versionsuffix": "", + "name": "Tcl" +}, +{ + "toolchain": "GCC/4.9.3-2.25", + "description": "Tcl (Tool Command Language) is a very powerful but easy to learn dynamic programming 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It offers a very wide range of compression/speed trade-off, while being backed by a very fast decoder. It also offers a special mode for small data, called dictionary compression, and can create dictionaries from any sample set.", + "homepage": "https://facebook.github.io/zstd", + "version": "1.5.5", + "versionsuffix": "", + "name": "zstd" +} +] diff --git a/docs/version-specific/update-version-specific-docs.sh b/docs/version-specific/update-version-specific-docs.sh index 534b9cec9..0cc689018 100755 --- a/docs/version-specific/update-version-specific-docs.sh +++ b/docs/version-specific/update-version-specific-docs.sh @@ -164,6 +164,7 @@ echo >> supported-software.md echo " This page contains a lot of information, it may take a while to load." >> supported-software.md echo >> supported-software.md eb --list-software=detailed --output-format=md | egrep -v $skip_lines >> supported-software.md +eb --list-software=detailed --output-format=json | egrep -v $skip_lines > supported-software.json echo "* [List of supported software](supported-software.md)" >> $overview