Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
kserve/kserve is drawing steady momentum at +7.4 stars/day (63rd percentile in the tracked cohort), for a momentum score of 42.4/100. A recent release is helping fuel the run.
Reconstructed from 209 snapshots — the time-series GitHub’s API doesn’t expose.
Release count rose to 62.
~15 forks/day, 7.9× the trailing baseline.
~25 forks/day, 12.3× the trailing baseline.
Live score, refreshed every 6 hours. Links back to this page.
[](https://breakwave.vercel.app/repo/kserve/kserve)Low breakout odds over the next 14 days, led by push recency (100th pctl) and fork velocity (79th 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.
~11 forks/day, 5.6× the trailing baseline.
Release count rose to 61.
~11 forks/day, 3.2× the trailing baseline.
~10 forks/day, 3.7× the trailing baseline.
~13 forks/day, 3.7× the trailing baseline.
Release count rose to 60.
Release count rose to 59.