langchain-experimental

Name: langchain-experimental
Rating: 4.50 (1 reviews)
Author: LangChain

#27 · by LangChain

framework

4.50/ 5.00

trustedBeta

Mar 20, 2026 at 6:31 AM6 signals analysedNo manual reviews · fully automated

Trust Signal Breakdown

high23 sub-signals across 6 dimensions

CVEs, dependency health, and supply chain integrity

2 of 3 sub-signals with data

Known CVEs57%4.3

5 CVE(s) found — 0 unpatched

via OSV.dev

Dependency Healthno data—

Weight redistributed to sub-signals with data

Supply Chain43%4.8

15 transitive CVEs found (penalty: -0.25)

via npm provenance

Uptime, latency, error rates, and incident history

4 of 4 sub-signals with data

Uptime35%5.0

99.90% over 1000 checks

via Health checks

Response Latency25%4.0

p99: 284ms, p50: 114ms

via Health checks

Error Rate20%4.0

0.10% error rate (1/1000)

via Health checks

Incident History20%3.0

2 incidents in last 90 days

via Incidents table

Commit recency, release cadence, issue response, CI/CD

3 of 4 sub-signals with data

Commit Recency37%5.0

via GitHub

Release Cadence31%5.0

via GitHub

Issue Responseno data—

Weight redistributed to sub-signals with data

CI/CD Presence31%5.0

via GitHub Actions

Downloads, stars, dependents, and growth trajectory

2 of 4 sub-signals with data

Download Volume55%4.0

544,867 weekly downloads

via npm / PyPI

GitHub Stars45%5.0

130,274 stars

via GitHub

Dependent Packagesno data—

Weight redistributed to sub-signals with data

Growth Trendno data—

Weight redistributed to sub-signals with data

License, documentation, security policy, changelog

4 of 4 sub-signals with data

Open Source30%5.0

Public repo with OSI-approved license (mit)

via GitHub

Documentation25%4.0

Good README (>2000 bytes with examples)

via GitHub

Security Policy20%5.0

SECURITY.md inherited from org .github repo

via GitHub

Changelog25%4.0

Releases exist but no CHANGELOG.md

via GitHub

Track record, org maturity, community standing

4 of 4 sub-signals with data

Track Record30%5.0

Internal: 5.0 (14 services), External: 4.5 (17186 followers, 38585 stars)

via Fabric index

Org Maturity30%4.5

Organization, 3.1 years old

via GitHub

Community Standing20%5.0

230 public repositories

via GitHub

Cross-Platform20%3.0

Present on 2 platform(s): github, pypi

via Registry scan

About this score

Scored across 23 sub-signals in 6 dimensionsScoring engine v1 (beta) — actively being expandedPhase 1: Core sub-signal architecture (live)Phase 2: Permission scope & expanded collection (in progress)

Trust AssessmentAI Assessment

langchain-experimental is an MIT-licensed framework published by LangChain that provides experimental features and extensions for the LangChain agent platform. The service shows strong operational stability and maintenance practices, with 521K weekly downloads indicating substantial production usage. The 5 known CVEs merit attention given the experimental nature of the codebase, and teams should evaluate whether cutting-edge features justify the inherent risks of pre-stable components in their threat model.

Generated by Fabric AI · Mar 4, 2026 at 10:51 PM

Service Health (30d)

99.90%

p50: 114ms · p99: 284ms

Avg Latency

123ms

averaged across 30d health checks

Weekly Downloads

544.9k

PyPI weekly

Transparency & Compliance4/5 passed

✓