_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
python-ray 2.38.0
Dependencies: gcc@15.2.0 openssl@1.1.1u python-wrapper@3.11.14 jemalloc@5.3.0 zlib@1.3.1
Channel: guix-science
Location: guix-science/packages/machine-learning.scm (guix-science packages machine-learning)
Home page: https://github.com/ray-project/ray
Licenses: ASL 2.0
Build system: bazel
Synopsis: Framework for scaling machine learning applications
Description:

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI libraries for simplifying ML compute. These are the provided Ray AI libraries:

  • Data: Scalable datasets for ML;

  • Train: Distributed training;

  • Tune: Scalable hyperparameter tuning;

  • RLlib: Scalable reinforcement learning;

  • Serve: Scalable and programmable serving.

python-ray 2.38.0
Dependencies: gcc@15.2.0 openssl@1.1.1u python-wrapper@3.11.14 jemalloc@5.3.0 zlib@1.3.1
Propagated dependencies: python-aiohttp@3.11.11 python-aiosignal@1.4.0 python-click@8.1.8 python-colorama@0.4.6 python-dm-tree@0.1.9 python-fastapi@0.115.6 python-filelock@3.16.1 python-frozenlist@1.3.3 python-fsspec@2025.9.0 python-grpcio@1.52.0 python-gymnasium@0.29.1 python-jsonschema@4.23.0 python-lz4@4.4.4 python-msgpack@1.1.1 python-numpy@1.26.4 python-packaging@25.0 python-pandas@2.2.3 python-prometheus-client@0.22.1 python-protobuf@3.20.3 python-psutil@7.0.0 python-pyarrow@22.0.0 python-pydantic@1.10.19 python-pyyaml@6.0.2 python-requests@2.32.5 python-rich@13.7.1 python-scikit-image@0.23.2 python-scipy@1.12.0 python-setproctitle@1.3.7 python-smart-open@7.3.0 python-typer@0.20.0 python-virtualenv@20.29.1
Channel: guix-science
Location: guix-science/packages/machine-learning.scm (guix-science packages machine-learning)
Home page: https://github.com/ray-project/ray
Licenses: ASL 2.0
Build system: pyproject
Synopsis: Framework for scaling machine learning applications
Description:

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI libraries for simplifying ML compute. These are the provided Ray AI libraries:

  • Data: Scalable datasets for ML;

  • Train: Distributed training;

  • Tune: Scalable hyperparameter tuning;

  • RLlib: Scalable reinforcement learning;

  • Serve: Scalable and programmable serving.

Total results: 2