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PyG Documentation 

Last updated 2026-07-13 · benchmark measured 2026-08-09 — deterministic & reproducible

PyG is a PyTorch library for building and training Graph Neural Networks.

Is PyG Documentation  production-ready?

Legit.Show scores PyG Documentation  68 out of 100 — the simple average of its 7 measured frames. 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 Discoverability. Every frame it averages is published with its evidence on the Legit.Show listing.

The 7 Frames

• Performance — 97/100
• Accessibility — 93/100
• Security — 50/100
• Privacy — 25/100
• 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 — 507 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

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