Developer Tools
PyG Documentation
Last updated 2026-07-13 · benchmark measured 2026-07-13 — deterministic & reproducible
PyG is a PyTorch library for building and training Graph Neural Networks.
Overall production-readiness score — reserved
Legit.Show benchmarked PyG Documentation across all seven frames. The single overall score is shown to the verified maker; the frame-by-frame breakdown is public below.
Is PyG Documentation production-ready?
Legit.Show ran its deterministic 7-Frame production-readiness benchmark on PyG Documentation (public-surface assessment), measured from the public surface with no LLM in the scoring path. Its strongest frame is Reliability; its weakest is Privacy. The per-frame breakdown is public on the Legit.Show listing; the single overall production-readiness score is reserved for the verified maker.
The 7 Frames
- Performance — 97/100
- Accessibility — 90/100
- Security — 50/100
- Privacy — 0/100
- Reliability — 100/100
- Standards — 89/100
- Discoverability — 25/100
What we measured
- Security headers present: HSTS, X-Content-Type-Options, Referrer-Policy.
- No Content-Security-Policy.
- Served over HTTPS with a valid certificate.
- Real Lighthouse performance run — 305 ms to first byte.
- Returns a proper 404 for unknown routes.
- 1 of 1 sampled routes reachable.
- No privacy policy found.
- Sets cookies / loads scripts with no consent prompt.
Who it's for
Machine learning engineers · Researchers · Data scientists · Graph neural network developers