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 drawing steady momentum at +8.6 stars/day (66th percentile in the tracked cohort), for a momentum score of 43.4/100. Forks are climbing too, at +4.6/day.
Low breakout odds over the next 14 days, led by push recency (100th pctl) and fork velocity (86th pctl). Confidence is high given the available history.
Reconstructed from 318 snapshots — the time-series GitHub’s API doesn’t expose.
~13 forks/day, 3.8× the trailing baseline.
~10 forks/day, 3.9× the trailing baseline.
~10 forks/day, 8.5× the trailing baseline.
Live score, refreshed every 6 hours. Links back to this page.
[](https://breakwave.vercel.app/repo/ray-project/ray)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.
~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.
~12 forks/day, 3.6× the trailing baseline.
~14 forks/day, 3.3× the trailing baseline.
~12 forks/day, 5.6× the trailing baseline.