LangSmith

Name: LangSmith
Rating: 4.43 (1 reviews)
Author: LangChain

#34 · by LangChain

infra serverless GPU

4.43/ 5.00

trustedBeta

Sep 16, 2026 at 9:02 PM6 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%4.7

4 CVE(s) found — 0 unpatched

via OSV.dev

Dependency Healthno data—

Weight redistributed to sub-signals with data

Supply Chain43%4.8

51 transitive CVEs found (penalty: -0.25)

via npm provenance

Uptime, latency, error rates, and incident history

4 of 4 sub-signals with data

Uptime35%4.0

99.20% over 1000 checks

via Health checks

Response Latency25%4.0

p99: 429ms, p50: 157ms

via Health checks

Error Rate20%4.0

0.80% error rate (8/1000)

via Health checks

Incident History20%5.0

0 incidents in last 90 days

via Incidents table

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

4 of 4 sub-signals with data

Commit Recency30%5.0

via GitHub

Release Cadence25%5.0

via GitHub

Issue Response20%2.0

via GitHub

CI/CD Presence25%5.0

via GitHub Actions

Downloads, stars, dependents, and growth trajectory

2 of 4 sub-signals with data

Download Volume55%5.0

18,268,978 weekly downloads

via npm / PyPI

GitHub Stars45%3.0

1,056 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: 3.0 (14 services), External: 5.0 (22369 followers, 57785 stars)

via Fabric index

Org Maturity30%4.5

Organization, 3.5 years old

via GitHub

Community Standing20%5.0

261 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

LangSmith is an MIT-licensed observability and evaluation platform published by LangChain for monitoring and debugging LLM applications. The service shows strong operational reliability with perfect uptime and minimal security exposure (1 CVE), supported by 16.8M weekly downloads indicating substantial production adoption. While transparency and maintenance scores are solid, teams should verify the SDK's maturity for critical production workloads given its relatively recent emergence in the LLM tooling ecosystem.

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

Service Health (30d)

99.20%

p50: 157ms · p99: 429ms

Avg Latency

184ms

averaged across 30d health checks

Weekly Downloads

—

no package registry data

Incidents & Alertslast 90 days

Mar 4Trust score increased by 1.214.45