GitHub Pulse
The sum of commits in the most recent complete week across a curated watchlist of major open-source AI/ML repositories, read directly from each repo’s own weekly commit-activity statistics on GitHub. The delta is the week-over-week change in that same figure.
Comparing the week of 2026-10-04 (4399 commits) against the week of 2026-09-27 (4111 commits), across 20 of the 20 repos on the watchlist that had data available at computation time.
Per-repo breakdown
Every repo on the watchlist that GitHub returned data for, sorted by this week’s commit count.
| Repository | This week | Prior week | Change |
|---|---|---|---|
| unslothai/unsloth | 1096 | 1045 | +4.9% |
| vllm-project/vllm | 775 | 856 | -9.5% |
| deepseek-ai/deepseek-harness | 718 | 670 | +7.2% |
| pytorch/pytorch | 454 | 421 | +7.8% |
| open-webui/open-webui | 380 | 129 | +194.6% |
| QwenLM/qwen-code | 350 | 317 | +10.4% |
| ggml-org/llama.cpp | 200 | 160 | +25.0% |
| huggingface/transformers | 103 | 55 | +87.3% |
| microsoft/agent-framework | 82 | 116 | -29.3% |
| langchain-ai/langchain | 57 | 70 | -18.6% |
| comfyanonymous/ComfyUI | 47 | 52 | -9.6% |
| ollama/ollama | 32 | 20 | +60.0% |
| ggml-org/whisper.cpp | 29 | 81 | -64.2% |
| anthropics/anthropic-sdk-python | 29 | 44 | -34.1% |
| openai/openai-python | 23 | 47 | -51.1% |
| huggingface/diffusers | 17 | 20 | -15.0% |
| run-llama/llama_index | 3 | 6 | -50.0% |
| mistralai/mistral-common | 2 | 0 | new |
| InternLM/xtuner | 2 | 0 | new |
| meta-llama/PurpleLlama | 0 | 2 | -100.0% |
Day by day
The most recent days this number was computed. Not every calendar day has a row — a day with no row simply wasn’t computed that day.
| Date | Value | Change |
|---|---|---|
| Oct 17, 2026 | 4,399 | +2.4% |
| Oct 15, 2026 | 4,295 | +7.1% |
| Oct 14, 2026 | 4,010 | -4.5% |
| Oct 13, 2026 | 4,198 | +1.5% |
| Oct 12, 2026 | 4,134 | +21.1% |
| Oct 9, 2026 | 3,413 | -11.0% |
| Oct 8, 2026 | 3,835 | +0.4% |
| Oct 7, 2026 | 3,818 | +15.8% |
| Oct 6, 2026 | 3,297 | -3.3% |
| Oct 5, 2026 | 3,409 | +66.2% |
Why these repos, and why commits
The watchlist is roughly 20 major open-source AI/ML projects spanning inference engines (llama.cpp, vLLM), core frameworks (PyTorch, Transformers, Diffusers), application layers (LangChain, LlamaIndex, AutoGen, Open WebUI, ComfyUI), and several labs’ own SDKs and model repos. Commit volume is a real, if noisy, proxy for how much active engineering is happening across the ecosystem day to day — it’s naturally choppier week to week than a usage metric like downloads or tokens, so a single week’s swing (up or down) shouldn’t be read as a trend on its own.
A repo drops out of the table above only when GitHub’s commit-activity endpoint didn’t return usable data for it at computation time (rate-limited, or GitHub still computing its stats cache) — it’s excluded from both weeks’ totals for that run, not counted as zero.
Computed daily from GitHub’s own public commit-activity statistics, with no AI model involved in the calculation. See the full Signal methodology for how every other number on the Signal page is calculated.