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Ploomber is the fastest way to build data pipelines ⚡️. Use your favorite editor (Jupyter, VSCode, PyCharm) to develop interactively and deploy ☁️ without code changes (Kubernetes, Airflow, AWS Batch, and SLURM). Do you have legacy notebooks? Refactor them into modular pipelines with a single command.

Installation

Compatible with Python 3.7 and higher.

Install with pip:

pip install ploomber

Or with conda:

conda install ploomber -c conda-forge

Getting started

Try the tutorial:

Community

• Join us on Slack
• Newsletter
• YouTube
• Contact the development team

Main Features

⚡️ Get started quickly

A simple YAML API to get started quickly, a powerful Python API for total flexibility.

get-started.mp4

⏱ Shorter development cycles

Automatically cache your pipeline’s previous results and only re-compute tasks that have changed since your last execution.

shorter-cycles.mp4

☁️ Deploy anywhere

Run as a shell script in a single machine or distributively in Kubernetes, Airflow, AWS Batch, or SLURM.

deploy.mp4

📙 Automated migration from legacy notebooks

Bring your old monolithic notebooks, and we’ll automatically convert them into maintainable, modular pipelines.

refactor.mp4

I want to migrate my notebook.

Show me a demo.

Resources

• Documentation
• PyData Chicago talk (covers motivation and demo)
• Develop and deploy an ML pipeline in 30 minutes (EuroPython 2021)
• Guest blog post on the official Jupyter blog
• Examples (Machine Learning pipeline, ETL, among others)
• Blog
• Comparison with other tools
• More videos

About Ploomber

Ploomber is a big community of data enthusiasts pushing the boundaries of Data Science and Machine Learning tooling.

Whatever your skillset is, you can contribute to our mission. So whether you're a beginner or an experienced professional, you're welcome to join us on this journey!

Click here to know how you can contribute to Ploomber.