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CI health scoreboard

How do the workflows of some of the most-starred repos on GitHub grade under gha-doctor? A point-in-time snapshot, regenerated weekly by scoreboard.yml running scripts/scoreboard.sh — every number is reproducible with one command against public data, no clone needed:

$ gha-doctor --repo facebook/react

Snapshot: 2026-10-28 · gha-doctor 0.66.0 · last 100 completed runs per repo.

Repo Grade Score Biggest deduction
django/django A 90/100 workflow hygiene (−5.1): 6 warning(s), 11 info finding(s) across 17 file(s)
apache/airflow B 83/100 workflow hygiene (−10): 64 warning(s), 33 info finding(s) across 72 file(s)
pytorch/pytorch B 82/100 success rate (−5.4): 91% of 46 decisive runs succeeded (skipped/cancelled not counted)
sveltejs/svelte C 79/100 success rate (−12.8): 80% of 49 decisive runs succeeded (skipped/cancelled not counted)
cli/cli C 75/100 workflow hygiene (−24.7): 33 warning(s), 26 info finding(s) across 16 file(s)
nodejs/node C 73/100 workflow hygiene (−22.1): 101 warning(s), 20 info finding(s) across 48 file(s)
grafana/grafana C 72/100 workflow hygiene (−17.8): 126 warning(s), 30 info finding(s) across 75 file(s)
python/cpython C 70/100 workflow hygiene (−10): 20 warning(s), 12 info finding(s) across 23 file(s)
rust-lang/rust D 69/100 workflow hygiene (−17.5): 5 warning(s), 1 info finding(s) across 3 file(s)
facebook/react D 68/100 workflow hygiene (−30): 113 warning(s), 57 info finding(s) across 26 file(s)
pola-rs/polars D 65/100 workflow hygiene (−25.8): 57 warning(s), 9 info finding(s) across 23 file(s)
microsoft/typescript D 64/100 workflow hygiene (−30): 50 warning(s), 11 info finding(s) across 14 file(s)
vercel/next.js D 61/100 workflow hygiene (−21.8): 74 warning(s), 36 info finding(s) across 38 file(s)
huggingface/transformers D 60/100 workflow hygiene (−30): 170 warning(s), 47 info finding(s) across 60 file(s)
angular/angular F 59/100 workflow hygiene (−26.7): 32 warning(s), 0 info finding(s) across 12 file(s)
microsoft/vscode F 59/100 workflow hygiene (−30): 77 warning(s), 20 info finding(s) across 22 file(s)
astral-sh/uv F 53/100 workflow hygiene (−16.6): 63 warning(s), 74 info finding(s) across 49 file(s)
home-assistant/core F 53/100 workflow hygiene (−30): 52 warning(s), 38 info finding(s) across 19 file(s)
pandas-dev/pandas F 50/100 workflow hygiene (−28.9): 42 warning(s), 17 info finding(s) across 16 file(s)
prometheus/prometheus F 49/100 workflow hygiene (−28.8): 45 warning(s), 4 info finding(s) across 16 file(s)
vitejs/vite F 47/100 workflow hygiene (−17.5): 23 warning(s), 6 info finding(s) across 14 file(s)
denoland/deno F 42/100 workflow hygiene (−30): 37 warning(s), 40 info finding(s) across 11 file(s)
vuejs/core F 42/100 workflow hygiene (−17.5): 13 warning(s), 4 info finding(s) across 8 file(s)

This is not a quality ranking of these projects. It grades one narrow thing: how their GitHub Actions setup scores on hygiene, reliability, and efficiency signals, formula here. A few honest caveats:

Want the itemized deductions behind any grade? gha-doctor --repo owner/repo --json | jq .score — and see the badge docs to put your own repo’s grade in its README.