Trust and health report

generative_ai_with_langchain - trust report

Sourced, dated trust signals - maintenance label posture, repository provenance, and security scan status. Not a composite safety grade.

GraphCanon updated today · GitHub synced today

Maintenance

Recency and activity heuristics from public GitHub metadata (maintenance label, momentum); methodology: github_public_v1.

Active82% signal

last push 10d ago

Provenance

Repository identity and fork provenance (github_public_v1).

  • GitHub repo id: 665164787
  • Not a fork
  • Personal account
  • Computed today

Security scan

Dependency advisory security scan when a lockfile is present. Not a full code audit.

Status
31 low
Last scan
today
Scanner
osv@v1

Findings

GHSA-2g6r-c272-w58r
langchain-core@0.3.63 · requirements.txt
GHSA-6qv9-48xg-fc7f
langchain-core@0.3.63 · requirements.txt
GHSA-926x-3r5x-gfhw
langchain-core@0.3.63 · requirements.txt
GHSA-c67j-w6g6-q2cm
langchain-core@0.3.63 · requirements.txt
GHSA-pjwx-r37v-7724
langchain-core@0.3.63 · requirements.txt
GHSA-qh6h-p6c9-ff54
langchain-core@0.3.63 · requirements.txt
PYSEC-2026-1518
langchain-core@0.3.63 · requirements.txt
PYSEC-2026-373
langchain-core@0.3.63 · requirements.txt
GHSA-3644-q5cj-c5c7
langchain@0.3.17 · requirements.txt
GHSA-gr75-jv2w-4656
langchain@0.3.17 · requirements.txt
GHSA-pc6w-59fv-rh23
langchain-community@0.3.16 · requirements.txt
PYSEC-2026-1515
langchain-community@0.3.16 · requirements.txt
GHSA-r7w7-9xr2-qq2r
langchain-openai@0.3.19 · requirements.txt
PYSEC-2026-76
langchain-openai@0.3.19 · requirements.txt
GHSA-fv5p-p927-qmxr
langchain-text-splitters@0.3.5 · requirements.txt
GHSA-m42m-m8cr-8m58
langchain-text-splitters@0.3.5 · requirements.txt
PYSEC-2026-1520
langchain-text-splitters@0.3.5 · requirements.txt
PYSEC-2026-77
langchain-text-splitters@0.3.5 · requirements.txt
GHSA-f4xh-w4cj-qxq8
langsmith@0.3.15 · requirements.txt
GHSA-rr7j-v2q5-chgv
langsmith@0.3.15 · requirements.txt
GHSA-g48c-2wqr-h844
langgraph@0.3.34 · requirements.txt
PYSEC-2026-83
langgraph@0.3.34 · requirements.txt
GHSA-7p48-42j8-8846
streamlit@1.37.1 · requirements.txt
PYSEC-2026-212
streamlit@1.37.1 · requirements.txt
GHSA-6wgj-66m2-xxp2
ray@2.43.0 · requirements.txt
GHSA-gx77-xgc2-4888
ray@2.43.0 · requirements.txt
GHSA-q279-jhrf-cc6v
ray@2.43.0 · requirements.txt
GHSA-q5fh-2hc8-f6rq
ray@2.43.0 · requirements.txt
PYSEC-2026-517
ray@2.43.0 · requirements.txt
PYSEC-2026-518
ray@2.43.0 · requirements.txt
PYSEC-2026-520
ray@2.43.0 · requirements.txt

Method and caveats:these are sourced, dated heuristics from public GitHub data and optional dependency scans. A status like "no criticals found on 2026-07-11" is not a guarantee of safety. Read the full trust methodology · JSON report at /api/graphcanon/tools/benman1-generative-ai-with-langchain/trust.

Common questions

Is generative_ai_with_langchain maintained?
GraphCanon rates generative_ai_with_langchain "Active" (82% maintenance signal from public GitHub metadata, computed today). Last push was 10 days ago. This is a recency heuristic, not a guarantee the project will stay maintained.
Is generative_ai_with_langchain safe to use?
Last scanned today (deps profile). Status: 31 low - 31 low finding(s) in the latest scan. GraphCanon does not claim the project is safe or vulnerability-free; review findings on the trust report. GraphCanon does not certify generative_ai_with_langchain as safe - review maintenance, provenance, and scan findings on this page before adopting.
Is generative_ai_with_langchain a fork?
No. generative_ai_with_langchain is not flagged as a fork in GitHub metadata at the time of the last refresh.
Does generative_ai_with_langchain have known security vulnerabilities?
Last scanned today (deps profile). Status: 31 low - 31 low finding(s) in the latest scan. GraphCanon does not claim the project is safe or vulnerability-free; review findings on the trust report.
How often is the generative_ai_with_langchain trust report updated?
Trust signals refresh on GitHub ingest/refresh cycles and optional dependency/MCP scans. This report was computed today (methodology github_public_v1).
What does GraphCanon never claim about generative_ai_with_langchain?
We never publish a composite safety grade, pen-test endorsement, or "verified secure" label for generative_ai_with_langchain. Signals are sourced heuristics with explicit limits - see trust methodology.
How does GraphCanon assess trust for generative_ai_with_langchain?
Signals are sourced from public GitHub metadata and optional dependency/MCP manifest scans, each tagged with methodology version and computed date. GraphCanon does not publish a composite safety grade. Read trust methodology for full scope and limits.