diff --git a/recipes/kernel-tuner/meta.yaml b/recipes/kernel-tuner/meta.yaml
new file mode 100644
index 0000000000000..1a92b8c422f7d
--- /dev/null
+++ b/recipes/kernel-tuner/meta.yaml
@@ -0,0 +1,77 @@
+{% set name = "kernel-tuner" %}
+{% set version = "1.0.0b6" %}
+
+package:
+  name: {{ name|lower }}
+  version: {{ version }}
+
+source:
+  url: https://pypi.io/packages/source/{{ name[0] }}/kernel_tuner/kernel_tuner-{{ version }}.tar.gz
+  sha256: 8ec7cac41f1eec84e54bf2452008c905fad90279949e477355fb9eda054b1beb
+
+build:
+  script: {{ PYTHON }} -m pip install . -vv --no-deps --no-build-isolation
+  number: 0
+  noarch: python
+
+requirements:
+  host:
+    - pip
+    - poetry-core >=1.7.0
+    - python >=3.8,<3.12
+    - setuptools >=67.7.2
+  run:
+    - __unix
+    - jsonschema
+    - numpy >=1.22.2,<2
+    - python-constraint2 >=2.0.0b3,<3
+    - pandas >=2.0.0,<3
+    - python >=3.8,<3.12
+    - scikit-learn >=1.0.2,<2
+    - scipy >=1.10.1,<2
+    - xmltodict
+
+test:
+  commands:
+    - pip check
+    - pytest
+  imports:
+    - kernel_tuner
+  requires:
+    - mock
+    - pep440
+    - pip
+    - pytest >=7.4
+    - pytest-cov
+    - tomli
+  source_files:
+    - pyproject.toml
+    - test
+    - README.rst
+
+about:
+  home: https://github.com/kerneltuner/kernel_tuner
+  summary: 'An easy to use CUDA/OpenCL kernel tuner in Python'
+  description: |
+    Kernel Tuner simplifies the software development of optimized and
+    auto-tuned GPU programs, by enabling Python-based unit testing of GPU code
+    and making it easy to develop scripts for auto-tuning GPU kernels. This
+    also means no extensive changes and no new dependencies are required in the
+    kernel code. The kernels can still be compiled and used as normal from any
+    host programming language.
+
+    Kernel Tuner provides a comprehensive solution for auto-tuning GPU
+    programs, supporting auto-tuning of user-defined parameters in both host
+    and device code, supporting output verification of all benchmarked kernels
+    during tuning, as well as many optimization strategies to speed up the
+    tuning process.
+  license: Apache-2.0
+  license_file: LICENSE
+  doc_url: https://kerneltuner.github.io
+
+extra:
+  recipe-maintainers:
+    - benvanwerkhoven
+    - bouweandela
+    - fjwillemsen
+    - isazi
diff --git a/recipes/python-constraint2/meta.yaml b/recipes/python-constraint2/meta.yaml
new file mode 100644
index 0000000000000..95108a45430e9
--- /dev/null
+++ b/recipes/python-constraint2/meta.yaml
@@ -0,0 +1,56 @@
+{% set name = "python-constraint2" %}
+{% set version = "2.0.0b4" %}
+
+package:
+  name: {{ name|lower }}
+  version: {{ version }}
+
+source:
+  url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/python_constraint2-{{ version }}.tar.gz
+  sha256: 2c8dd055f63b91ccd93d3145411648030a705306d18a78c3e8f739109c2e889d
+
+build:
+  script: {{ PYTHON }} -m pip install . -vv --no-deps --no-build-isolation
+  number: 0
+  skip: True  # [py>311]
+
+requirements:
+  build:
+    - {{ compiler('c') }}
+  host:
+    - cython >=3.0.2
+    - pip
+    - poetry-core >=1.7.0
+    - python
+    - setuptools >=67.7.2
+  run:
+    - python
+
+test:
+  commands:
+    - pip check
+    - pytest --ignore tests/test_constraint.py --ignore tests/test_compilation.py
+  imports:
+    - constraint
+  requires:
+    - pep440
+    - pip
+    - pytest
+    - pytest-cov
+    - tomli
+  source_files:
+    - pyproject.toml
+    - tests
+    - README.rst
+
+about:
+  home: https://github.com/python-constraint/python-constraint
+  summary: A module for efficiently solving CSPs (Constraint Solving Problems) over finite domains.
+  license: BSD-2-Clause
+  license_file: LICENSE
+  doc_url: http://python-constraint.github.io/python-constraint
+
+extra:
+  recipe-maintainers:
+    - bouweandela
+    - fjwillemsen