python-ray 2.38.0
Dependencies: gcc@15.2.0 openssl@1.1.1u hiredis@1.2.0 python-wrapper@3.11.14 jemalloc@5.3.0 zlib@1.3.1
Propagated dependencies: python-aiohttp@3.11.18 python-aiosignal@1.4.0 python-click@8.1.8 python-colorama@0.4.6 python-dm-tree@0.1.9 python-fastapi@0.128.0 python-filelock@3.16.1 python-frozenlist@1.8.0 python-fsspec@2026.1.0 python-grpcio@1.52.0 python-gymnasium@0.29.1 python-jsonschema@4.23.0 python-lz4@4.4.4 python-msgpack@1.1.2 python-numpy@2.3.1 python-packaging@25.0 python-pandas@2.3.3 python-prometheus-client@0.22.1 python-protobuf@3.20.3 python-psutil@7.0.0 python-pyarrow@23.0.1 python-pydantic@2.12.5 python-pyyaml@6.0.2 python-requests@2.32.5 python-rich@14.2.0 python-scikit-image@0.26.0 python-scipy@1.16.3 python-setproctitle@1.3.7 python-smart-open@7.3.0 python-typer@0.20.0 python-virtualenv@20.29.1
Channel: guix-science
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 packages: 1