Ray

license

Apache-2.0(OSI)

source

public(all Ray libraries OSS)

commercial-tier

Anyscale managed SaaS on top

core-gated

gated

license:Apache-2.0(OSI);source:public(all Ray libraries OSS);commercial-tier:Anyscale managed SaaS on top

• https://github.com/ray-project/ray recorded 2026-06-04

  flagship phase-C verification source

• https://www.anyscale.com/product/open-source/ray recorded 2026-06-04

  flagship phase-C verification source

• https://www.anyscale.com/blog/ray-by-anyscale-joins-pytorch-foundation recorded 2026-06-04

  flagship phase-C verification source

Re-scored 4->5. The prior record had no verified download count (reported_traction). Direct registry data now shows ray at 61.31M PyPI downloads in the last 30 days, comfortably above the map's prevailing usage_volume level-5 floor of >10M/mo (and above even the stricter 50M floor the HF-stack files use, cf. pytorch ~88.6M, triton ~64.7M at level 5). Ray is the standard open distributed-compute / model-serving substrate (Ray Serve, Tune, Train, Data) under the PyTorch Foundation.

• https://pepy.tech/projects/ray recorded 2026-06-25

  61,306,813 downloads in last 30 days

• https://www.anyscale.com/blog/ray-by-anyscale-joins-pytorch-foundation recorded 2026-06-04

  Ray under the PyTorch Foundation (governance / ecosystem standing)

General distributed-compute + model-serving framework (Ray Core, Serve, Tune, Train, Data). No standardized inference/training benchmark (MLPerf) applies to Ray as a whole; scored on breadth of distributed-serving feature coverage. Not directly comparable to single-engine inference benchmarks.

• https://www.anyscale.com/product/open-source/ray recorded 2026-06-04

  flagship phase-C verification source

• https://docs.anyscale.com/get-started/what-is-ray recorded 2026-06-04

  flagship phase-C verification source