Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-04 19:06 UTC

openai / openai-python

The official Python library for the OpenAI API

PythonApache-2.0★ 31,296 stars⑂ 5,095 forkssince Oct 2020View on GitHub ↗

openai/openai-python 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 Engineering Quality (67/100). It was last updated today. 2 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 83 is calibrated to 96 on the published index scale (record calibration 2026-08-02).

Ownership

OpenAIOrganization
128,577 followers268 public repossince Oct 2015

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIopenai2.53.0-4080 days ago

Metrics by category

Vitality

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

99Exceptional · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
34.6/36Commit cadence50/52 weeks with commits
18/18Commit volume409 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_year409
human_commit_share0.41
days_since_last_push0
active_weeks_last_year50

Release discipline

100Exceptional
How it's scored
27/27Ships releases100 releases published
36/36Release recencylatest release 0 days ago
27/27Release cadencea release every ~2.8 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count100
latest_release_tagv2.53.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases2.8
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?

89Excellent · 17% of overall

Popularity & adoption

100Exceptional
How it's scored
60/60Stars31,296 stars
25/25Forks5,095 forks
14.5/15Watchers400 watchers
Inputs used
forks5,095
stars31,296
watchers400
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)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges1
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateyes

Sustainability & Governance

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

83Excellent · 23% of overall
How it's scored
25.2/54Bus factor2 contributor(s) cover half of all commits
12.9/22.5Commit distributiontop contributor authored 42% of commits
13.5/13.5Contributor breadth98 contributors
10/10OpenSSF Scorecard: Contributorsproject has 37 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled98
top_contributor_share0.425
How it's scored
34.9/42Issue resolution83% of issues closed
20.3/30PR acceptance1,104/1,628 decided PRs merged
6/13Newcomer PR acceptance6/13 first-time contributors' PRs merged in 30d
15/15OpenSSF Scorecard: Code-Reviewall changesets reviewed
Inputs used
merged_prs1,104
open_issues219
closed_issues1,072
prs_merged_7d7
prs_decided_7d10
prs_merged_30d12
prs_decided_30d21
issue_closed_ratio0.83
closed_unmerged_prs524
first_time_authors_30d9
first_time_prs_merged_30d6
first_time_prs_decided_30d13
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
25/25Owner reach128,577 followers of openai
25/25Track record268 public repos, account ~10 yr old
Inputs used
followers128,577
owner_typeOrganization
is_verified
owner_loginopenai
public_repos268
account_age_days3,957
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 0 days ago
20/20Version history408 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesopenai
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

67Good · 19% of overall
How it's scored
24/24CI workflows6 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests22 out of 22 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
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage sitehttps://pypi.org/project/openai/
10/10Repository description
10/10Topics2 topics
0/10Wiki
Inputs used
topicsopenai, python
has_wikino
homepagehttps://pypi.org/project/openai/
docs_sitehttps://pypi.org/project/openai/
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

78Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0.8/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
2.5/2.5CI-Tests22 out of 22 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Reviewall changesets reviewed
2.5/2.5Contributorsproject has 37 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update 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
4.5/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 9
4.5/5SASTSAST tool detected but not run on all commits
5/5Security-Policysecurity policy file detected
0/7.5Signed-Releasesno data
6/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
5.2/7.5Vulnerabilities3 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate7.3
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 advisoriesno direct dependency carries a known advisory
0/25Indirect dependencies free of known advisoriestransitive set not separable from development and test dependencies in this scope
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories6
affected_packages1
assessed_packages49
unassessed_packages0
affected_by_severitymoderate 1
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 49 resolved dependencies against OSV. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. 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.

81Excellent · 4% of overall
How it's scored
45/45Agent instructionsAGENTS.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history35 of 41 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.854
agent_instruction_filesAGENTS.md
agent_instruction_max_bytes3,005
How it's scored
18/18One-command bootstrapnoxfile.py
22/22Automated tests
0/11Lint / format config
11/11Static type checkingsrc/openai/py.typed
10/10Reproducible environmentdevcontainer, Dockerfile, lockfile
0/10Demonstrated agent practiceno agent-authored commits among the last 100
0/8Automated maintenanceno automated dependency updates observed
9/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 9
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesnoxfile.py
has_devcontaineryes
has_linter_configno
typecheck_configssrc/openai/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
How it's scored
27/45Type-checkable codePython with type-check config (src/openai/py.typed)
54.6/55Manageable file sizes12/1,709 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes251,089
source_files_sampled1,709
oversized_source_files12
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
0/20MCP servernot applicable to this kind of software
40/40Runnable examplesexamples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_files
interfaces_expected_of
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto), MCP server. Remaining weights renormalized.

Key facts

31,296GitHub stars
98contributors
409commits, last 12 months
0days since last push
100releases
2bus factor
219open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:openai@2.53.0; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 5,095 ⇿
0Stars
5,095Forks
62Releases

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.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

4,0004,2004,4004,6004,8005,0005,2005,095462025-092026-032026-08
Major 1Minor 53Patch 8
OpenSSF Scorecard 7.3 / 10
7.3aggregate

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 · 2026-08-04 19:05 UTC

10Binary-Artifactsno binaries found in the repo
1Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests22 out of 22 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 37 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update 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
9Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 9
9SASTSAST tool detected but not run on all commits
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
8Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7Vulnerabilities3 existing vulnerabilities detected
Direct dependencies 8
RegistryPackageVersion constraintManifest
PyPIhttpx>=0.23.0, <1pyproject.toml
PyPIpydantic>=1.9.0, <3pyproject.toml
PyPItyping-extensions>=4.14, <5pyproject.toml
PyPIanyio>=3.5.0, <5pyproject.toml
PyPIdistro>=1.7.0, <2pyproject.toml
PyPIsniffiopyproject.toml
PyPItqdm> 4pyproject.toml
PyPIjiter>=0.10.0, <1pyproject.toml
All dependencies 49

Full resolved dependency set from the GitHub dependency graph: 8 direct and 41 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIanyio4.14.0direct
PyPIdistro1.9.0direct
PyPIhttpx0.28.1direct
PyPIjiter0.15.0direct
PyPIpydantic2.13.4direct
PyPIsniffio1.3.1direct
PyPItqdm4.68.3direct
PyPItyping-extensions4.15.0direct
PyPIaiohappyeyeballs2.6.2indirect
PyPIaiohttp3.14.1indirect
PyPIaiosignal1.4.0indirect
PyPIannotated-types0.7.0indirect
PyPIasync-timeout5.0.1indirect
PyPIattrs26.1.0indirect
PyPIbotocore1.43.46indirect
PyPIcertifi2026.6.17indirect
PyPIcffi2.0.0indirect
PyPIcolorama0.4.6indirect
PyPIexceptiongroup1.3.1indirect
PyPIfrozenlist1.8.0indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpcore22.7.0indirect
PyPIhttpx-aiohttp0.1.12indirect
PyPIhttpx22.7.0indirect
PyPIidna3.18indirect
PyPIjmespath1.1.0indirect
PyPImultidict6.7.1indirect
PyPInumpy2.2.6indirect
PyPInumpy2.4.6indirect
PyPIopenai2.53.0indirect
PyPIpandas2.3.3indirect
PyPIpandas3.0.3indirect
PyPIpandas-stubs2.3.3.260113indirect
PyPIpandas-stubs3.0.3.260530indirect
PyPIpropcache0.5.2indirect
PyPIpycparser3.0indirect
PyPIpydantic-core2.46.4indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpytz2026.2indirect
PyPIsix1.17.0indirect
PyPIsounddevice0.5.5indirect
PyPItruststore0.10.4indirect
PyPItypes-pytz2026.2.0.20260518indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.2indirect
PyPIurllib32.7.0indirect
PyPIwebsockets15.0.1indirect
PyPIyarl1.24.2indirect
Dependency advisories 1

This repository publishes no package the index resolves, so its own dependency graph was assessed — 49 packages, which also include development and test pins that never ship: 1 carry known advisories, of which 0 are direct.

PackageVersionRelationSeverityAdvisoriesFixed in
aiohttp3.14.1indirectmoderate63.14.3

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

Spotted something off in this report, or have thoughts to share? Wrong measurements, missed tooling, ideas, questions — anything is welcome. Every message is read and gets a response.

The message is kept through sign-in.

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 v0.31.0 — full methodology · metrics wiki.

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