Public record
Software health reportschema 0.12.0 · metrics 2.10.0 · 2026-07-18 13:40 UTC

langchain-ai / langchain-aws

Build LangChain Applications on AWS

PythonMIT★ 332 stars⑂ 297 forkssince Mar 2024View on GitHub ↗
#aws#generative-ai#langchain#langchain-python

langchain-ai/langchain-aws holds a health index of 91 out of 100, placing it in the Excellent band. It scores highest on Vitality (95/100) and lowest on Security (61/100). It was last updated 2 days ago. 4 contributors account for most of its recent work.

91
overall / 100
Excellent

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.

91
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 77 is calibrated to 91 on the published index scale (record calibration 2026-08-02).

Ownership

LangChainOrganization
20,950 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?

95Exceptional · 21% of overall

Development activity

99Exceptional
How it's scored
36/36Push recency — last push 2 days ago
34.6/36Commit cadence — 50/52 weeks with commits
18/18Commit volume — 385 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 11 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year385
human_commit_share—
days_since_last_push2
active_weeks_last_year50

Release discipline

90Excellent
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 11 days ago
27/27Release cadence — a release every ~5.4 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count100
latest_release_taglangchain-aws==1.6.2
releases_from_tagsno
days_since_latest_release11
mean_days_between_releases5.4

Community & Adoption

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

75Good · 17% of overall

Popularity & adoption

66Good
How it's scored
40.9/60Stars — 332 stars
20.6/25Forks — 297 forks
4.3/15Watchers — 7 watchers
Inputs used
forks297
stars332
watchers7
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

85Excellent
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
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges—
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateno

Sustainability & Governance

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

83Excellent · 23% of overall

Maintainer resilience (bus factor)

84Excellent
How it's scored
43.2/54Bus factor — 4 contributor(s) cover half of all commits
17.5/22.5Commit distribution — top contributor authored 22% of commits
13.5/13.5Contributor breadth — 100 contributors
10/10OpenSSF Scorecard: Contributors — project has 6 contributing companies or organizations
Inputs used
bus_factor4
contributors_sampled100
top_contributor_share0.222

Issue & PR responsiveness

72Good
How it's scored
34.9/42Issue resolution — 83% of issues closed
26.2/30PR acceptance — 649/743 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
1.5/15OpenSSF Scorecard: Code-Review — Found 5/26 approved changesets -- score normalized to 1
Inputs used
merged_prs649
open_issues63
closed_issues307
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio0.83
closed_unmerged_prs94
first_time_authors_30d—
first_time_prs_merged_30d—
first_time_prs_decided_30d—
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

94Exceptional
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
25/25Owner reach — 20,950 followers of langchain-ai
19.8/25Track record — 251 public repos, account ~3 yr old
Inputs used
followers20,950
owner_typeOrganization
is_verified—
owner_loginlangchain-ai
public_repos251
account_age_days1,234
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Engineering Quality

Are baseline engineering and documentation practices in place?

61Moderate · 19% of overall

Engineering practices

68Good
How it's scored
24/24CI workflows — 11 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

50Moderate
How it's scored
30/30README
0/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 4 topics
0/10Wiki
Inputs used
topicsaws, generative-ai, langchain, langchain-python
has_wikino
homepage—
docs_site—
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

61Moderate · 16% of overall

Security posture

61Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
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 5/26 approved changesets -- score normalized to 1
2.5/2.5Contributors — project has 6 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 11 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
1.5/5SAST — SAST tool is not run on all commits -- score normalized to 3
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6.1
Excluded from scoring (no data or not applicable): Branch-Protection. Remaining weights renormalized.

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.

86Excellent · 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 present
0/40Legible commit history — no data
Inputs used
has_llms_txtyes
llms_txt_url—
legible_history_share—
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes7,965
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.

Verify loop (build / test / typecheck)

73Good
How it's scored
18/18One-command bootstrap — libs/agentcore-codeinterpreter/Makefile, libs/aws/Makefile, libs/langgraph-checkpoint-aws/Makefile
22/22Automated tests
0/11Lint / format config
11/11Static type checking — libs/aws/langchain_aws/py.typed
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no data
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_fileslibs/agentcore-codeinterpreter/Makefile, libs/aws/Makefile, libs/langgraph-checkpoint-aws/Makefile
has_devcontainerno
has_linter_configno
typecheck_configslibs/aws/langchain_aws/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.

Code legibility for models

81Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (libs/aws/langchain_aws/py.typed)
53.6/55Manageable file sizes — 7/278 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes221,460
source_files_sampled278
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 — notebooks, samples
Inputs used
example_dirsnotebooks, samples
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

332GitHub stars
100contributors
385commits, last 12 months
2days since last push
100releases
4bus factor
63open issues
—package ecosystems

More detail

OpenSSF Scorecard 6.1 / 10
6.1aggregate

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 · 2026-07-18 13:39 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
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 5/26 approved changesets -- score normalized to 1
10Contributorsproject has 6 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 11 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
3SASTSAST tool is not run on all commits -- score normalized to 3
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
All dependencies 174

Full resolved dependency set from the GitHub dependency graph: 0 direct and 174 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPIanthropic0.111.0indirect
PyPIanthropic0.116.0indirect
PyPIanyio4.14.0indirect
PyPIanyio4.14.1indirect
PyPIast-serialize0.5.0indirect
PyPIast-serialize0.6.0indirect
PyPIasync-timeout4.0.3indirect
PyPIasync-timeout5.0.1indirect
PyPIaws-sdk-bedrock-runtime0.7.0indirect
PyPIaws-sdk-signers0.3.0indirect
PyPIawscrt0.32.2indirect
PyPIbackports-asyncio-runner1.2.0indirect
PyPIbeautifulsoup44.15.0indirect
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PyPIgoogle-genai2.9.0indirect
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PyPIh110.16.0indirect
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PyPIiniconfig2.3.0indirect
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PyPIjiter0.16.0indirect
PyPIjmespath1.1.0indirect
PyPIjsonpatch1.33indirect
PyPIjsonpointer3.1.1indirect
PyPIlangchain1.3.11indirect
PyPIlangchain-agentcore-codeinterpreter0.0.5indirect
PyPIlangchain-anthropic1.4.7indirect
PyPIlangchain-anthropic1.4.8indirect
PyPIlangchain-aws1.6.1indirect
PyPIlangchain-aws1.6.2indirect
PyPIlangchain-classic1.0.8indirect
PyPIlangchain-core1.4.8indirect
PyPIlangchain-google-genai4.2.5indirect
PyPIlangchain-protocol0.0.18indirect
PyPIlangchain-tests1.1.9indirect
PyPIlangchain-text-splitters1.1.2indirect
PyPIlanggraph1.2.6indirect
PyPIlanggraph1.2.7indirect
PyPIlanggraph-checkpoint4.1.1indirect
PyPIlanggraph-checkpoint-aws1.2.0indirect
PyPIlanggraph-checkpoint-conformance0.0.2indirect
PyPIlanggraph-prebuilt1.1.0indirect
PyPIlanggraph-sdk0.4.2indirect
PyPIlangsmith0.9.0indirect
PyPIlangsmith0.9.6indirect
PyPIlangsmith0.9.7indirect
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PyPImypy-boto3-s31.43.31indirect
PyPImypy-boto3-sqs1.43.0indirect
PyPImypy-extensions1.1.0indirect
PyPInumpy2.0.2indirect
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PyPInumpy2.4.6indirect
PyPInumpy2.5.0indirect
PyPInumpy2.5.1indirect
PyPIorjson3.11.9indirect
PyPIormsgpack1.12.2indirect
PyPIpackaging26.2indirect
PyPIpathspec1.1.1indirect
PyPIplaywright1.61.0indirect
PyPIpluggy1.6.0indirect
PyPIprotobuf7.35.1indirect
PyPIpy-cpuinfo9.0.0indirect
PyPIpyasn10.6.3indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpycparser3.0indirect
PyPIpydantic2.13.4indirect
PyPIpydantic2.14.0a1indirect
PyPIpydantic-core2.46.4indirect
PyPIpydantic-core2.47.0indirect
PyPIpyee13.0.1indirect
PyPIpygments2.20.0indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-benchmark5.2.3indirect
PyPIpytest-codspeed5.0.3indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-mock3.15.1indirect
PyPIpytest-recording0.13.4indirect
PyPIpytest-socket0.8.0indirect
PyPIpytest-watcher0.6.3indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpyyaml6.0.3indirect
PyPIredis8.0.1indirect
PyPIrequests2.34.2indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrich15.0.0indirect
PyPIruff0.15.18indirect
PyPIruff0.15.20indirect
PyPIs3transfer0.19.0indirect
PyPIsix1.17.0indirect
PyPIsmithy-aws-core0.7.0indirect
PyPIsmithy-aws-event-stream0.3.0indirect
PyPIsmithy-core0.6.0indirect
PyPIsmithy-http0.4.2indirect
PyPIsmithy-json0.2.3indirect
PyPIsniffio1.3.1indirect
PyPIsortedcontainers2.4.0indirect
PyPIsoupsieve2.8.4indirect
PyPIsqlalchemy2.1.0b3indirect
PyPIstarlette1.3.1indirect
PyPIsyrupy5.3.2indirect
PyPIsyrupy5.4.0indirect
PyPItenacity9.1.4indirect
PyPItomli2.4.1indirect
PyPItypes-awscrt0.34.1indirect
PyPItypes-requests2.33.0.20260518indirect
PyPItypes-s3transfer0.16.0indirect
PyPItyping-extensions4.15.0indirect
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PyPIurllib32.7.0indirect
PyPIuuid-utils0.16.2indirect
PyPIuvicorn0.49.0indirect
PyPIuvicorn0.50.2indirect
PyPIvalkey6.2.0rc2indirect
PyPIvalkey-glide-sync2.5.0rc2indirect
PyPIvcrpy8.2.1indirect
PyPIvcrpy8.3.0indirect
PyPIwatchdog6.0.0indirect
PyPIwcmatch10.1indirect
PyPIwebsockets15.0.1indirect
PyPIwrapt2.2.2indirect
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PyPIzstandard0.25.0indirect
Raw JSON report machine-readable

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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 v2.10.0, schema v0.12.0 — full methodology · metrics wiki.

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