Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-17 14:09 UTC

langchain-ai / langchain-pinecone

Build LangChain applications with Pinecone

PythonMIT★ 28 stars⑂ 17 forkssince Feb 2025View on GitHub ↗
KindLibraryhow this is determined

langchain-ai/langchain-pinecone holds a health index of 86 out of 100, placing it in the Excellent band. It scores highest on Security (76/100) and lowest on Community & Adoption (68/100). It was last updated 14 days ago. 2 contributors account for most of its recent work.

86
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.

86
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 72 is calibrated to 86 on the published index scale (record calibration 2026-08-02).

Ownership

LangChainOrganization
22,407 followers261 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-pinecone0.2.13564,06827318 days ago

Metrics by category

Vitality

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

70Good · 21% of overall

Development activity

65Good
How it's scored
28.8/36Push recency — last push 14 days ago
12.5/36Commit cadence — 18/52 weeks with commits
15.4/18Commit volume — 51 commits in the last year
8/10OpenSSF Scorecard: Maintained — 10 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 8
Inputs used
commits_last_year51
human_commit_share0.819
days_since_last_push14
active_weeks_last_year18

Release discipline

78Good
How it's scored
27/27Ships releases — 14 releases published
16.2/36Release recency — latest release 318 days ago
27/27Release cadence — a release every ~23.1 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count14
latest_release_taglibs/pinecone/v0.2.13
releases_from_tagsno
days_since_latest_release318
mean_days_between_releases23.1
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?

68Good · 17% of overall

Popularity & adoption

36Weak
How it's scored
23.2/60Stars — 28 stars
10/25Forks — 17 forks
3.3/15Watchers — 5 watchers
Inputs used
forks17
stars28
watchers5
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_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateno

Ecosystem adoption (downloads)

96Exceptional
How it's scored
76.7/80Monthly downloads — 564,068 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packageslangchain-pinecone
dependents—
ecosystemspypi
total_downloads—
monthly_downloads564,068
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?

74Good · 23% of overall

Maintainer resilience (bus factor)

64Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
15.5/22.5Commit distribution — top contributor authored 31% of commits
13.5/13.5Contributor breadth — 12 contributors
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor2
contributors_sampled12
top_contributor_share0.312

Issue & PR responsiveness

71Good
How it's scored
34.6/42Issue resolution — 82% of issues closed
27.2/30PR acceptance — 99/109 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 1/22 approved changesets -- score normalized to 0
Inputs used
merged_prs99
open_issues6
closed_issues28
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.824
closed_unmerged_prs10
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

75Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
25/25Owner reach — 22,407 followers of langchain-ai
20.1/25Track record — 261 public repos, account ~3 yr old
Inputs used
followers22,407
owner_typeOrganization
is_verifiedno
owner_loginlangchain-ai
public_repos261
account_age_days1,295

Package maintenance

91Excellent
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
26/35Publish recency — latest publish 318 days ago
20/20Version history — 27 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packageslangchain-pinecone
ecosystemspypi
any_deprecatedno
min_days_since_publish318

Engineering Quality

Are baseline engineering and documentation practices in place?

69Good · 19% of overall

Engineering practices

82Excellent
How it's scored
24/24CI workflows — 7 workflow(s)
24/24Tests present
16/16Linter config — libs/pinecone/pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests — 29 out of 30 merged PRs checked by a CI test -- score normalized to 9
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

50Moderate
How it's scored
30/30README
0/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
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?

76Good · 16% of overall

Security posture

70Good
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.2/2.5CI-Tests — 29 out of 30 merged PRs checked by a CI test -- score normalized to 9
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 1/22 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 3 contributing companies or organizations -- score normalized to 10
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
6/7.5Maintained — 10 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 8
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
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
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
6.8/7.5Vulnerabilities — 1 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate7.1
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_packages54
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-pinecone@0.2.13 runtime dependency closure — what installing the published package pulls in — 54 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.

74Good · 4% of overall

Agent context & guidance

40Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 76 of 77 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.987
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

88Excellent
How it's scored
18/18One-command bootstrap — libs/pinecone/Makefile
22/22Automated tests
11/11Lint / format config — libs/pinecone/pyproject.toml ([tool.ruff])
11/11Static type checking — libs/pinecone/langchain_pinecone/py.typed
10/10Reproducible environment — lockfile
8.5/10Demonstrated agent practice — 4 of the last 94 commits agent-authored or agent-credited
8/8Automated maintenance — 17 of the last 94 commits are automated dependency updates
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/pinecone/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configslibs/pinecone/langchain_pinecone/py.typed
agent_commit_share0.043
toolchain_manifests—
dependency_bot_commit_share0.181

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (libs/pinecone/langchain_pinecone/py.typed)
55/55Manageable file sizes — 0/26 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes46,904
source_files_sampled26
oversized_source_files0

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

28GitHub stars
12contributors
51commits, last 12 months
14days since last push
14releases
2bus factor
6open issues
—package ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

Star and fork history 0 ★ / 17 ⇿
0Stars
17Forks
13Releases

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.

0481216201712025-022025-102026-06
Major 0Minor 0Patch 0

Each point covers 2 days.

OpenSSF Scorecard 7.1 / 10
7.1aggregate

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 · 2026-09-17 14:08 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
9CI-Tests29 out of 30 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 1/22 approved changesets -- score normalized to 0
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
8Maintained10 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 8
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
9SASTSAST tool is not run on all commits -- score normalized to 9
9Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
9Vulnerabilities1 existing vulnerabilities detected
Direct dependencies 5
RegistryPackageVersion constraintManifest
PyPIlangchain-core<2.0.0,>=1.2.11libs/pinecone/pyproject.toml
PyPIpinecone>=6.0.0,<8.0.0libs/pinecone/pyproject.toml
PyPInumpy>=1.26.4,!=2.0.2libs/pinecone/pyproject.toml
PyPIhttpx>=0.28.0libs/pinecone/pyproject.toml
PyPIpydantic>=2.11.1libs/pinecone/pyproject.toml
All dependencies 121

Full resolved dependency set from the GitHub dependency graph: 6 direct and 115 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIhttpx0.28.1direct
PyPIlangchain-core1.3.3direct
PyPInumpy2.2.6direct
PyPInumpy2.3.4direct
PyPIpinecone6.0.2direct
PyPIpydantic2.11.1direct
PyPIaiohappyeyeballs2.6.1indirect
PyPIaiohttp3.14.3indirect
PyPIaiosignal1.4.0indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.9.0indirect
PyPIappnope0.1.4indirect
PyPIasttokens3.0.0indirect
PyPIasync-timeout5.0.1indirect
PyPIattrs25.3.0indirect
PyPIbackports-asyncio-runner1.2.0indirect
PyPIcertifi2025.1.31indirect
PyPIcffi1.17.1indirect
PyPIcharset-normalizer3.4.1indirect
PyPIclick8.4.2indirect
PyPIcodespell2.4.1indirect
PyPIcolorama0.4.6indirect
PyPIcomm0.2.2indirect
PyPIcoverage7.14.1indirect
PyPIdebugpy1.8.14indirect
PyPIdecorator5.2.1indirect
PyPIdocutils0.23indirect
PyPIexceptiongroup1.2.2indirect
PyPIexecuting2.2.0indirect
PyPIfreezegun1.5.1indirect
PyPIfrozenlist1.5.0indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIidna3.15indirect
PyPIiniconfig2.1.0indirect
PyPIipykernel6.29.5indirect
PyPIipython8.35.0indirect
PyPIipython9.1.0indirect
PyPIipython-pygments-lexers1.1.1indirect
PyPIitsdangerous2.2.0indirect
PyPIjedi0.19.2indirect
PyPIjsonpatch1.33indirect
PyPIjsonpointer3.0.0indirect
PyPIjupyter-client8.6.3indirect
PyPIjupyter-core5.7.2indirect
PyPIlangchain-pinecone0.2.13indirect
PyPIlangchain-protocol0.0.15indirect
PyPIlangchain-tests1.1.5indirect
PyPIlangsmith0.8.18indirect
PyPIloro1.13.1indirect
PyPImarimo0.23.16indirect
PyPImarkdown3.10.2indirect
PyPImarkdown-it-py4.0.0indirect
PyPImatplotlib-inline0.1.7indirect
PyPImdurl0.1.2indirect
PyPImsgspec0.21.1indirect
PyPImultidict6.3.1indirect
PyPImypy1.15.0indirect
PyPImypy-extensions1.0.0indirect
PyPInarwhals2.22.1indirect
PyPInest-asyncio1.6.0indirect
PyPIorjson3.11.6indirect
PyPIpackaging24.2indirect
PyPIparso0.8.4indirect
PyPIpexpect4.9.0indirect
PyPIpinecone-plugin-interface0.0.7indirect
PyPIpip26.2indirect
PyPIplatformdirs4.3.7indirect
PyPIpluggy1.5.0indirect
PyPIprompt-toolkit3.0.51indirect
PyPIpropcache0.3.1indirect
PyPIpsutil7.0.0indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.3indirect
PyPIpy-cpuinfo9.0.0indirect
PyPIpycparser2.22indirect
PyPIpydantic-core2.33.0indirect
PyPIpygments2.20.0indirect
PyPIpymdown-extensions11.0.1indirect
PyPIpytest9.1.0indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-benchmark5.2.3indirect
PyPIpytest-codspeed4.3.0indirect
PyPIpytest-cov6.3.0indirect
PyPIpytest-mock3.14.0indirect
PyPIpytest-recording0.13.4indirect
PyPIpytest-socket0.7.0indirect
PyPIpytest-watcher0.4.3indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-multipart0.0.32indirect
PyPIpywin32310indirect
PyPIpyyaml6.0.2indirect
PyPIpyzmq27.1.0indirect
PyPIrequests2.33.0indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrich14.3.3indirect
PyPIruff0.11.2indirect
PyPIsimsimd5.9.11indirect
PyPIsix1.17.0indirect
PyPIsniffio1.3.1indirect
PyPIstack-data0.6.3indirect
PyPIstarlette1.3.1indirect
PyPIsyrupy5.3.2indirect
PyPItenacity9.1.2indirect
PyPItomli2.2.1indirect
PyPItomlkit0.15.0indirect
PyPItornado6.5.8indirect
PyPItraitlets5.14.3indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.0indirect
PyPIurllib32.7.0indirect
PyPIuuid-utils0.14.1indirect
PyPIuvicorn0.49.0indirect
PyPIvcrpy8.2.1indirect
PyPIwatchdog6.0.0indirect
PyPIwcwidth0.2.13indirect
PyPIwebsockets16.0indirect
PyPIwrapt2.1.1indirect
PyPIxxhash3.6.0indirect
PyPIyarl1.18.3indirect
PyPIzstandard0.23.0indirect
Dependency advisories 0

Installing pypi:langchain-pinecone@0.2.13 pulls in 54 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.

Raw JSON report machine-readable

Feedback

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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 v0.34.0 — full methodology · metrics wiki.

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