Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-09 07:54 UTC

langchain-ai / langchain-google

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

Python · Jupyter NotebookMIT★ 403 stars⑂ 485 forkssince Feb 2024View on GitHub ↗
KindLibraryhow this is determined
#ai#gemini#gemini-api#langchain#langchain-python#llm#vertex-ai

langchain-ai/langchain-google holds a health index of 96 out of 100, placing it in the Exceptional band. It scores highest on Vitality (99/100) and lowest on Security (76/100). It was last updated 5 days ago. 3 contributors account for most of its recent work.

96
overall / 100
Exceptional

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.

96
Exceptional93-100The record's top tier (≈ top 5%); essentially all checked criteria met
Excellent80-92Strong across the board; minor gaps
Good65-79Healthy; gaps are limited and manageable
Moderate50-64Acceptable with notable gaps; review recommended
Weak35-49Material weaknesses across several areas
At Risk20-34Significant weaknesses; adoption warrants caution
Critical1-19Severe 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.

The weighted overall 84 is calibrated to 96 on the published index scale (record calibration 2026-08-02).

Ownership

LangChainOrganization
22,221 followers260 public repossince Mar 2023

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIlangchain-google-genai4.4.015,725,060787 days ago
PyPIlangchain-google-vertexai3.2.4-6891 days ago
PyPIlangchain-google-community5.0.0-2782 days ago

Metrics by category

Vitality

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

99Exceptional · 21% of overall

Development activity

99Exceptional
How it's scored
36/36Push recency — last push 5 days ago
34.6/36Commit cadence — 50/52 weeks with commits
18/18Commit volume — 485 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year485
human_commit_share0.54
days_since_last_push5
active_weeks_last_year50

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 7 days ago
27/27Release cadence — a release every ~6.4 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_taglibs/genai/v4.4.0
releases_from_tagsno
days_since_latest_release7
mean_days_between_releases6.4
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?

85Excellent · 17% of overall

Popularity & adoption

69Good
How it's scored
42.2/60Stars — 403 stars
22.4/25Forks — 485 forks
4.7/15Watchers — 8 watchers
Inputs used
forks485
stars403
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
readme_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateyes

Ecosystem adoption (downloads)

100Exceptional
How it's scored
80/80Monthly downloads — 15,725,060 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packageslangchain-google-genai, langchain-google-vertexai, langchain-google-community
dependents—
ecosystemspypi
total_downloads—
monthly_downloads15,725,060
unverified_packages_excluded—
Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.

Sustainability & Governance

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

79Good · 23% of overall

Maintainer resilience (bus factor)

77Good
How it's scored
36/54Bus factor — 3 contributor(s) cover half of all commits
17.2/22.5Commit distribution — top contributor authored 24% of commits
13.5/13.5Contributor breadth — 96 contributors
10/10OpenSSF Scorecard: Contributors — project has 11 contributing companies or organizations
Inputs used
bus_factor3
contributors_sampled96
top_contributor_share0.235

Issue & PR responsiveness

70Good
How it's scored
35.9/42Issue resolution — 86% of issues closed
25.6/30PR acceptance — 1,119/1,311 decided PRs merged
6.5/13Newcomer PR acceptance — 3/6 first-time contributors' PRs merged in 30d
1.5/15OpenSSF Scorecard: Code-Review — Found 3/18 approved changesets -- score normalized to 1
Inputs used
merged_prs1,119
open_issues82
closed_issues484
prs_merged_7d0
prs_decided_7d0
prs_merged_30d18
prs_decided_30d25
issue_closed_ratio0.855
closed_unmerged_prs192
first_time_authors_30d5
first_time_prs_merged_30d3
first_time_prs_decided_30d6

Ownership & stewardship

75Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
25/25Owner reach — 22,221 followers of langchain-ai
20/25Track record — 260 public repos, account ~3 yr old
Inputs used
followers22,221
owner_typeOrganization
is_verifiedno
owner_loginlangchain-ai
public_repos260
account_age_days1,287

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 3 package(s) on pypi
35/35Publish recency — latest publish 7 days ago
20/20Version history — 78 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packageslangchain-google-genai, langchain-google-vertexai, langchain-google-community
ecosystemspypi
any_deprecatedno
min_days_since_publish7

Engineering Quality

Are baseline engineering and documentation practices in place?

76Good · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 10 workflow(s)
24/24Tests present
16/16Linter config — libs/community/pyproject.toml ([tool.ruff]), libs/genai/pyproject.toml ([tool.ruff]), libs/vertexai/pyproject.toml ([tool.ruff])
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_configyes
has_precommit_configno

Documentation

65Good
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
docs_sitehttps://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?

76Good · 16% of overall

Security posture

70Good
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
0.8/7.5Code-Review — Found 3/18 approved changesets -- score normalized to 1
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 1 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
4.5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
6.8/7.5Vulnerabilities — 1 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6.9
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages41
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:langchain-google-genai@4.4.0 runtime dependency closure — what installing the published package pulls in — 41 packages. Reachability is not analyzed.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.

91Excellent · 4% of overall

Agent context & guidance

100Exceptional
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://docs.langchain.com/llms.txt)
40/40Legible commit history — 54 of 54 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://docs.langchain.com/llms.txt
legible_history_share1
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes22,236

Verify loop (build / test / typecheck)

85Excellent
How it's scored
18/18One-command bootstrap — libs/community/Makefile, libs/genai/Makefile, libs/vertexai/Makefile
22/22Automated tests
11/11Lint / format config — libs/community/pyproject.toml ([tool.ruff]), libs/genai/pyproject.toml ([tool.ruff]), libs/vertexai/pyproject.toml ([tool.ruff])
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 agent-authored commits among the last 100
8/8Automated maintenance — 41 of the last 100 commits are automated dependency updates
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_configyes
typecheck_configslibs/genai/langchain_google_genai/py.typed, libs/vertexai/langchain_google_vertexai/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.41

Code legibility for models

80Excellent
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 — 7/230 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes308,131
source_files_sampled230
oversized_source_files7

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
20/20MCP server
40/40Runnable examples — examples, notebooks
Inputs used
example_dirsexamples, notebooks
has_mcp_signalyes
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto). Remaining weights renormalized.

Key facts

403GitHub stars
96contributors
485commits, last 12 months
5days since last push
100releases
3bus factor
82open issues
—package ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi download statistics for 'langchain-google-vertexai' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • pypi download statistics for 'langchain-google-community' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced

More detail

Star and fork history 0 ★ / 485 ⇿
0Stars
485Forks
100Releases

When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.

010020030040050047762024-022025-052026-09
Major 0Minor 0Patch 0

Each point covers 3 days.

OpenSSF Scorecard 6.9 / 10
6.9aggregate

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 · 2026-09-09 07:53 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
1Code-ReviewFound 3/18 approved changesets -- score normalized to 1
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 1 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
9Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
9Vulnerabilities1 existing vulnerabilities detected
Direct dependencies 27
RegistryPackageVersion constraintManifest
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PyPIlangchain-core>=1.4.7,<2.0.0libs/community/pyproject.toml
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All dependencies 238

Full resolved dependency set from the GitHub dependency graph: 40 direct and 198 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPIpytest-watcher0.4.3indirect
PyPIpytest-watcher0.6.3indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpytz2025.2indirect
PyPIpyyaml6.0.3indirect
PyPIrequests-oauthlib2.0.0indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrich14.2.0indirect
PyPIrich14.3.3indirect
PyPIrsa4.9.1indirect
PyPIruff0.13.3indirect
PyPIruff0.15.20indirect
PyPIruff0.16.4indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsniffio1.3.1indirect
PyPIsoupsieve2.8.4indirect
PyPIsse-starlette—indirect
PyPIsyrupy5.1.0indirect
PyPIsyrupy5.3.4indirect
PyPIsyrupy5.4.0indirect
PyPItenacity9.1.2indirect
PyPItenacity9.1.4indirect
PyPItokenizers0.22.1indirect
PyPItomli2.3.0indirect
PyPItomli2.4.0indirect
PyPItqdm4.67.1indirect
PyPItyper-slim0.20.0indirect
PyPItypes-beautifulsoup44.12.0.20250516indirect
PyPItypes-google-cloud-ndb2.3.0.20251121indirect
PyPItypes-google-cloud-ndb2.4.0.20260724indirect
PyPItypes-html5lib1.1.11.20251014indirect
PyPItypes-pillow10.2.0.20240822indirect
PyPItypes-protobuf4.25.0.20240417indirect
PyPItypes-protobuf7.34.1.20260518indirect
PyPItypes-protobuf7.35.1.20260824indirect
PyPItypes-requests2.31.0.6indirect
PyPItypes-requests2.32.4.20250913indirect
PyPItypes-requests2.33.0.20260712indirect
PyPItypes-urllib31.26.25.14indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2025.2indirect
PyPIuritemplate4.2.0indirect
PyPIurllib32.7.0indirect
PyPIuuid-utils0.12.0indirect
PyPIuuid-utils0.14.1indirect
PyPIuvicorn—indirect
PyPIvcrpy8.2.1indirect
PyPIwatchdog6.0.0indirect
PyPIwebsockets15.0.1indirect
PyPIwebsockets16.0indirect
PyPIwrapt2.0.1indirect
PyPIwrapt2.1.1indirect
PyPIxxhash3.6.0indirect
PyPIyarl1.22.0indirect
PyPIyarl1.24.5indirect
PyPIzstandard0.25.0indirect
Dependency advisories 0

Installing pypi:langchain-google-genai@4.4.0 pulls in 41 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.

No known advisories affect the assessed dependencies.

An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.

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Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v2.10.0, schema v0.34.0 — full methodology · metrics wiki.

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