Public record
Software health reportschema 0.11.0 · metrics 1.13.0 · 2026-07-17 00:55 UTC

langchain-ai / langchain-google

🦜🔗 LangChain interfaces to Google's suite of AI products (e.g. Gemini & Vertex AI)

Python · Jupyter NotebookMIT★ 392 stars⑂ 458 forkssince Feb 2024View on GitHub ↗

langchain-ai/langchain-google holds a health index of 78 out of 100, placing it in the Good band. It scores highest on Vitality (99/100) and lowest on Security (62/100). It was last updated today. 3 contributors account for most of its recent work.

78
overall / 100
Good

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At risk ceiling of 49. AI Readiness sits outside the overall score.

78
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe problems (abandoned, single-maintainer, no hygiene)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

Score profile

Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.

Ownership

LangChainOrganization
20,912 followers251 public repossince Mar 2023

This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.

Metrics by category

Vitality

Is the project alive — is code being written and are releases shipping?

99Excellent · 22% of overall
How it's scored
36/36Push recency — last push 0 days ago
35.3/36Commit cadence — 51/52 weeks with commits
18/18Commit volume — 460 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year460
human_commit_share
days_since_last_push0
active_weeks_last_year51

Release discipline

100Excellent
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 10 days ago
27/27Release cadence — a release every ~9.1 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_taglibs/genai/v4.2.7
releases_from_tagsno
days_since_latest_release10
mean_days_between_releases9.1
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

80Good · 18% of overall
How it's scored
42/60Stars — 392 stars
22.2/25Forks — 458 forks
4.7/15Watchers — 8 watchers
Inputs used
forks458
stars392
watchers8
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
has_contributingyes
has_issue_templateno
has_code_of_conductyes
has_pull_request_templateyes

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

75Good · 24% of overall
How it's scored
36/54Bus factor — 3 contributor(s) cover half of all commits
17.8/22.5Commit distribution — top contributor authored 21% of commits
13.5/13.5Contributor breadth — 100 contributors
10/10OpenSSF Scorecard: Contributors — project has 11 contributing companies or organizations
Inputs used
bus_factor3
contributors_sampled100
top_contributor_share0.209
How it's scored
40.3/46.8Issue resolution — 86% of issues closed
32.8/38.3PR acceptance — 1,072/1,249 decided PRs merged
0/15OpenSSF Scorecard: Code-Review — Found 1/11 approved changesets -- score normalized to 0
Inputs used
merged_prs1,072
open_issues77
closed_issues476
issue_closed_ratio0.861
closed_unmerged_prs177
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
25/25Owner reach — 20,912 followers of langchain-ai
19.8/25Track record — 251 public repos, account ~3 yr old
Inputs used
followers20,912
owner_typeOrganization
is_verified
owner_loginlangchain-ai
public_repos251
account_age_days1,233

Engineering Quality

Are baseline engineering and documentation practices in place?

67Moderate · 20% of overall
How it's scored
24/24CI workflows — 10 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

65Moderate
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://docs.langchain.com/oss/python/integrations/providers/google
10/10Repository description
10/10Topics — 7 topics
0/10Wiki
Inputs used
topicsai, gemini, gemini-api, langchain, langchain-python, llm, vertex-ai
has_wikino
homepagehttps://docs.langchain.com/oss/python/integrations/providers/google
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?

62Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 1/11 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 11 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
2.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
4.5/5SAST — SAST tool is not run on all commits -- score normalized to 9
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 10 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6.2
Excluded from scoring (no data or not applicable): signed_releases. Remaining weights renormalized.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score.

75Good · 0% of overall
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no data
Inputs used
has_llms_txtno
legible_history_share
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes22,238
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
18/18One-command bootstrap — libs/community/Makefile, libs/genai/Makefile, libs/vertexai/Makefile
22/22Automated tests
0/11Lint / format config
11/11Static type checking — libs/genai/langchain_google_genai/py.typed, libs/vertexai/langchain_google_vertexai/py.typed
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no data
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
5/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_fileslibs/community/Makefile, libs/genai/Makefile, libs/vertexai/Makefile
has_devcontainerno
has_linter_configno
typecheck_configslibs/genai/langchain_google_genai/py.typed, libs/vertexai/langchain_google_vertexai/py.typed
agent_commit_share
toolchain_manifests
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.
How it's scored
27/45Type-checkable code — Python with type-check config (libs/genai/langchain_google_genai/py.typed, libs/vertexai/langchain_google_vertexai/py.typed)
53.3/55Manageable file sizes — 7/231 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes214,397
source_files_sampled231
oversized_source_files7
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
20/20MCP server
40/40Runnable examples — examples, notebooks
Inputs used
example_dirsexamples, notebooks
has_mcp_signalyes
api_schema_files

Key facts

392GitHub stars
100contributors
460commits, last 12 months
0days since last push
100releases
3bus factor
77open issues
package ecosystems

More detail

OpenSSF Scorecard 6.2 / 10
6.2aggregate

Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).Scorecard v5.5.0 · 2026-07-17 00:54 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 1/11 approved changesets -- score normalized to 0
10Contributorsproject has 11 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 5
9SASTSAST tool is not run on all commits -- score normalized to 9
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities10 existing vulnerabilities detected
All dependencies 227

Full resolved dependency set from the GitHub dependency graph: 0 direct and 227 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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Raw JSON report machine-readable
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                "key": "fuzzing",
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                "key": "maintained",
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                "max_points": 7.5
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                "key": "token_permissions",
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                "key": "vulnerabilities",
                "name": "Vulnerabilities",
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            ]
          },
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                "max_points": 100
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        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
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      {
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            "value": 75,
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              "agent_instruction_files": [
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              "agent_instruction_max_bytes": 22238
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            "components": [
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                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "AGENTS.md, CLAUDE.md",
                "points": 45,
                "status": "met",
                "details": [
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                    "code": "file_list",
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                "key": "machine_readable_docs_llms_txt",
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              {
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                "points": 0,
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                "details": [
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          {
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              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
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              {
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          },
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            "note": null,
            "notes": [],
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              "oversized_source_files": 7
            },
            "components": [
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          },
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              },
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        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [],
  "report_type": "repository",
  "generated_at": "2026-07-17T00:55:07.363443Z",
  "schema_version": "0.11.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/l/langchain-ai/langchain-google.svg",
  "full_name": "langchain-ai/langchain-google",
  "license_state": "standard",
  "license_spdx": "MIT"
}

Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.

Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v1.13.0, schema v0.11.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics.