Frameworks & Starter Kits
langchain
Source: langchain-ai/langchain · ★ 139030 · Python
Last updated 2026-06-11 · benchmark measured 2026-09-23 — deterministic & reproducible
LangChain is a configurable Python framework for building LLM-powered agents.
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To cite this score: legit.show/s/gh-langchain-ai-langchain/2026-09-23. That address never changes; this page moves with every re-measure.
Legit.Show scored langchain 74/100 on 2026-09-23, measured across 5 of 7 frames from its public surface. legit.show/s/gh-langchain-ai-langchain/2026-09-23
Is langchain production-ready?
Legit.Show scores langchain 74 out of 100 — the simple average of its 5 measured frames. Legit.Show ran its deterministic 7-Frame production-readiness benchmark on langchain (public-surface assessment), measured from the public surface with no LLM in the scoring path. Its strongest frame is Reliability; its weakest is Privacy. 5 of the seven frames returned a score; Performance and Accessibility were not measurable on this service and are recorded as null — not as zero. Every frame it averages is published with its evidence on the Legit.Show listing.
The 7 Frames
- Performance — not measurable on this service (null — not scored as 0)
- Accessibility — not measurable on this service (null — not scored as 0)
- Security — 90/100How this compares across the catalogue: The Web Security Baseline
- Privacy — 25/100How this compares across the catalogue: The Privacy Gap
- Reliability — 100/100
- Standards — 75/100
- Discoverability — 80/100
What we measured
- Security headers present: CSP, HSTS, X-Frame-Options, X-Content-Type-Options.
- Served over HTTPS with a valid certificate.
- Real Lighthouse performance run — 245 ms to first byte.
- Returns a proper 404 for unknown routes.
- 2 of 2 sampled routes reachable.
- No privacy policy found.
- Sets cookies / loads scripts with no consent prompt.
- Discoverable: structured data, sitemap, OpenGraph image, canonical URL.
Who built it
product account @LangChain
Who it's for
AI developers · Agent builders · LLM application developers · Python developers
Sources and updates
- Description
- Taken from docs.langchain.com's own website on 2026-06-11.
- Code
- github.com/langchain-ai/langchain.
- Benchmark
- Measured by Legit.Show from the live site, the way any visitor sees it — with no access to its code or accounts. Same method for every product, and no AI decides the score. Last checked 2026-09-23.
Put together from public information, without langchain's involvement. If anything here is wrong, tell us and a person will check it.
Visit langchain → · Alternatives to langchain → · How this was measured →