DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
deepspeedai/DeepSpeed is drawing steady momentum at +4.1 stars/day (53rd percentile in the tracked cohort), for a momentum score of 45.8/100. A recent release is helping fuel the run.
Reconstructed from 352 snapshots — the time-series GitHub’s API doesn’t expose.
~10 forks/day, 16.3× the trailing baseline.
~15 forks/day, 15.3× the trailing baseline.
~14 forks/day, 4.7× the trailing baseline.
Live score, refreshed every 6 hours. Links back to this page.
[](https://breakwave.vercel.app/repo/deepspeedai/DeepSpeed)Low breakout odds over the next 14 days, led by push recency (100th pctl) and fork velocity (78th 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.
Release count rose to 117.
~11 forks/day, 7.1× the trailing baseline.
~10 forks/day, 21.4× the trailing baseline.
~11 forks/day, 6.1× the trailing baseline.
Release count rose to 116.
Release count rose to 115.
Release count rose to 114.
~18 forks/day, 7.6× the trailing baseline.
Release count rose to 113.