Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, RK NPU, Axera NPU, Ascend NPU, x86_64 servers, websocket server/client, support 12 programming languages
k2-fsa/sherpa-onnx is accelerating — star growth is speeding up by +1.6/day (84th percentile in the tracked cohort), on top of +18.3 stars/day. A recent release is helping fuel the run.
Reconstructed from 237 snapshots — the time-series GitHub’s API doesn’t expose.
~11 forks/day, 10.9× the trailing baseline.
~18 forks/day, 5.8× the trailing baseline.
Release count rose to 192.
Live score, refreshed every 6 hours. Links back to this page.
[](https://breakwave.vercel.app/repo/k2-fsa/sherpa-onnx)Elevated breakout odds over the next 14 days, led by star acceleration (84th pctl) and star velocity (80th 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, 10.6× the trailing baseline.
Release count rose to 191.
Release count rose to 190.
~14 forks/day, 11.6× the trailing baseline.
Release count rose to 189.
Release count rose to 188.
Release count rose to 187.
Release count rose to 186.