Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
ray-project/ray is accelerating — star growth is speeding up by +1.4/day (78th percentile in the tracked cohort), on top of +8.4 stars/day. A recent release is helping fuel the run.
Reconstructed from 350 snapshots — the time-series GitHub’s API doesn’t expose.
Release count rose to 132.
~14 forks/day, 7.2× the trailing baseline.
Release count rose to 130.
Live score, refreshed every 6 hours. Links back to this page.
[](https://repoclimb.com/repo/ray-project/ray)Elevated breakout odds over the next 14 days, led by star acceleration (78th pctl) and push recency (100th pctl). Confidence is high given the available history.
Transparent heuristic · logged for model training
Percentile rank within the tracked cohort. The score self-calibrates — it answers “accelerating vs. everything else,” not raw size.
~13 forks/day, 3.8× the trailing baseline.
~10 forks/day, 3.9× the trailing baseline.
~10 forks/day, 8.5× the trailing baseline.
~21 forks/day, 4.6× the trailing baseline.
~14 forks/day, 4.7× the trailing baseline.
~14 forks/day, 11.1× the trailing baseline.
~14 forks/day, 5.1× the trailing baseline.
~18 forks/day, 4.2× the trailing baseline.
~10 forks/day, 3.5× the trailing baseline.