Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-27 16:34 UTC

pinecone-io / python-sdk

Official Python SDK for the Pinecone vector database

PythonApache-2.0★ 449 stars⑂ 132 forkssince Sep 2021View on GitHub ↗

pinecone-io/python-sdk holds a health index of 90 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (84/100) and lowest on Security (70/100). It was last updated today. A single contributor accounts for most of its recent work.

90
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.

90
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 76 is calibrated to 90 on the published index scale (record calibration 2026-08-02).

Ownership

PineconeOrganization · verified domain
1,816 followers116 public repossince Aug 2019

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIpinecone9.1.07,002,7039584 days agopineconevectordatabasecloudragai

Metrics by category

Vitality

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

83Excellent · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
15.2/36Commit cadence22/52 weeks with commits
18/18Commit volume1,607 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year1,607
human_commit_share0.96
days_since_last_push0
active_weeks_last_year22
How it's scored
27/27Ships releases53 releases published
36/36Release recencylatest release 84 days ago
27/27Release cadencea release every ~39 days
0/10OpenSSF Scorecard: Signed-ReleasesProject has not signed or included provenance with any releases.
Inputs used
releases_count53
latest_release_tagv9.1.0
releases_from_tagsno
days_since_latest_release84
mean_days_between_releases39

Community & Adoption

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

72Good · 17% of overall
How it's scored
43/60Stars449 stars
17.6/25Forks132 forks
7.7/15Watchers25 watchers
Inputs used
forks132
stars449
watchers25
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (Apache-2.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services
has_pull_request_templateyes
How it's scored
80/80Monthly downloads7,002,703 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagespinecone
dependents
ecosystemspypi
total_downloads
monthly_downloads7,002,703
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?

70Good · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
6.5/22.5Commit distributiontop contributor authored 71% of commits
13.5/13.5Contributor breadth39 contributors
10/10OpenSSF Scorecard: Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor1
contributors_sampled39
top_contributor_share0.713
How it's scored
31.3/42Issue resolution75% of issues closed
23/30PR acceptance407/532 decided PRs merged
0/13Newcomer PR acceptance0/1 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-ReviewFound 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs407
open_issues33
closed_issues97
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d1
issue_closed_ratio0.746
closed_unmerged_prs125
first_time_authors_30d1
first_time_prs_merged_30d0
first_time_prs_decided_30d1
How it's scored
30/30Ownership backingorganization-owned
20/20Verified domain
23.4/25Owner reach1,816 followers of pinecone-io
25/25Track record116 public repos, account ~7 yr old
Inputs used
followers1,816
owner_typeOrganization
is_verifiedyes
owner_loginpinecone-io
public_repos116
account_age_days2,563

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 84 days ago
20/20Version history95 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagespinecone
ecosystemspypi
any_deprecatedno
min_days_since_publish84

Engineering Quality

Are baseline engineering and documentation practices in place?

84Excellent · 19% of overall
How it's scored
24/24CI workflows6 workflow(s)
24/24Tests present
16/16Linter configpyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Testsno data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://pinecone-io.github.io/python-sdk/
10/10Repository description
10/10Topics6 topics
0/10Wiki
Inputs used
topicspinecone, python, rag, sdk, vector-database, vector-search
has_wikino
homepagehttps://pinecone-io.github.io/python-sdk/
docs_sitehttps://pinecone-io.github.io/python-sdk/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

70Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionno data
0/2.5CI-Testsno data
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0/7.5Code-ReviewFound 0/30 approved changesets -- score normalized to 0
2.5/2.5Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
3/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 6
0/5SASTno SAST tool detected
0/5Security-Policysecurity policy file not detected
0/7.5Signed-ReleasesProject has not signed or included provenance with any releases.
7.5/7.5Token-PermissionsGitHub workflow tokens follow principle of least privilege
6/7.5Vulnerabilities2 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6.2
Excluded from scoring (no data or not applicable): Branch-Protection, CI-Tests. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages11
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:pinecone@9.1.0 runtime dependency closure — what installing the published package pulls in — 11 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.

80Excellent · 4% of overall
How it's scored
45/45Agent instructionsAGENTS.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history96 of 96 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share1
agent_instruction_filesAGENTS.md
agent_instruction_max_bytes13,204
How it's scored
18/18One-command bootstrapdocs/Makefile
22/22Automated tests
11/11Lint / format configpyproject.toml ([tool.ruff])
11/11Static type checkingpinecone/py.typed
10/10Reproducible environmentlockfile
0/10Demonstrated agent practiceno agent-authored commits among the last 100
8/8Automated maintenance2 of the last 100 commits are automated dependency updates
6/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 6
Inputs used
has_nixno
has_testsyes
lockfilesCargo.lock, uv.lock
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configspinecone/py.typed
agent_commit_share0
toolchain_manifestsCargo.toml, rust/Cargo.toml
dependency_bot_commit_share0.02
How it's scored
27/45Type-checkable codePython with type-check config (pinecone/py.typed)
53.6/55Manageable file sizes15/585 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes159,605
source_files_sampled585
oversized_source_files15
How it's scored
40/40API schema (OpenAPI/GraphQL/proto)rust/proto/db_data_2025-10.proto, rust/proto/google/api/annotations.proto, rust/proto/google/api/field_behavior.proto
0/20MCP servernot applicable to this kind of software
0/40Runnable examples
Inputs used
example_dirs
has_mcp_signalno
api_schema_filesrust/proto/db_data_2025-10.proto, rust/proto/google/api/annotations.proto, rust/proto/google/api/field_behavior.proto
interfaces_expected_of
Excluded from scoring (no data or not applicable): MCP server. Remaining weights renormalized.

Key facts

449GitHub stars
39contributors
1,607commits, last 12 months
0days since last push
53releases
1bus factor
33open issues
crates.io, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Could not fetch crates package 'pinecone-grpc' from its registry

More detail

Star and fork history 0 ★ / 132 ⇿
0Stars
132Forks
53Releases

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.

025507510012515012832021-102024-032026-08
Major 7Minor 14Patch 32

Each point covers 5 days.

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 · 2026-08-27 16:34 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
n/aCI-Testsno pull request found
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 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
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
6Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 6
0SASTno SAST tool detected
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
8Vulnerabilities2 existing vulnerabilities detected
Direct dependencies 14
RegistryPackageVersion constraintManifest
PyPIhttpx>=0.27,<1.0pyproject.toml
PyPImsgspecpyproject.toml
PyPIorjsonpyproject.toml
PyPItyping-extensions>=4.0pyproject.toml
crates.iopyo30.29rust/Cargo.toml
crates.iotonic0.13rust/Cargo.toml
crates.ioprost0.13rust/Cargo.toml
crates.ioprost-types0.13rust/Cargo.toml
crates.iotokio1rust/Cargo.toml
crates.iouuid1rust/Cargo.toml
crates.iorand0.9rust/Cargo.toml
crates.iotracing0.1rust/Cargo.toml
crates.iohttp1rust/Cargo.toml
crates.iohyper-util0.1rust/Cargo.toml
All dependencies 273

Full resolved dependency set from the GitHub dependency graph: 25 direct and 248 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPIpytest9.0.3indirect
PyPIpytest-anyio0.0.0indirect
PyPIpytest-asyncio1.3.0indirect
PyPIpytest-benchmark5.2.3indirect
PyPIpytest-timeout2.4.0indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.2.2indirect
PyPIpyyaml6.0.3indirect
PyPIpyzmq27.1.0indirect
PyPIrequests2.33.1indirect
PyPIrespx0.22.0indirect
PyPIroman-numerals4.1.0indirect
PyPIruff0.15.9indirect
PyPIsix1.17.0indirect
PyPIsnowballstemmer3.0.1indirect
PyPIsortedcontainers2.4.0indirect
PyPIsoupsieve2.8.3indirect
PyPIsphinx8.1.3indirect
PyPIsphinx-basic-ng1.0.0b2indirect
PyPIsphinx-copybutton0.5.2indirect
PyPIsphinx-tabs3.5.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIstack-data0.6.3indirect
PyPItomli2.4.1indirect
PyPItornado6.5.5indirect
PyPItraitlets5.14.3indirect
PyPIurllib32.7.0indirect
PyPIwcwidth0.6.0indirect
Dependency advisories 0

Installing pypi:pinecone@9.1.0 pulls in 11 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

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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 statisticsPyPI.