Public record
Software health reportschema 0.11.0 · metrics 2.10.0 · 2026-07-17 01:40 UTC

openai / openai-dotnet

The official .NET library for the OpenAI API

C#MIT★ 2,651 stars⑂ 407 forkssince Apr 2024View on GitHub ↗
#csharp#dotnet#openai

openai/openai-dotnet holds a health index of 95 out of 100, placing it in the Exceptional band. It scores highest on Vitality (95/100) and lowest on Security (58/100). It was last updated today. 4 contributors account for most of its recent work.

95
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.

95
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 82 is calibrated to 95 on the published index scale (record calibration 2026-08-02).

Ownership

OpenAIOrganization
126,535 followers264 public repossince Oct 2015

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 0 days ago
34.6/36Commit cadence — 50/52 weeks with commits
18/18Commit volume — 335 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 24 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year335
human_commit_share—
days_since_last_push0
active_weeks_last_year50

Release discipline

90Excellent
How it's scored
27/27Ships releases — 34 releases published
36/36Release recency — latest release 15 days ago
27/27Release cadence — a release every ~31.2 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count34
latest_release_tagOpenAI_2.12.0
releases_from_tagsno
days_since_latest_release15
mean_days_between_releases31.2

Community & Adoption

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

79Good · 17% of overall

Popularity & adoption

86Excellent
How it's scored
55.5/60Stars — 2,651 stars
21.7/25Forks — 407 forks
9/15Watchers — 43 watchers
Inputs used
forks407
stars2,651
watchers43
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

70Good
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code 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_conductno
readme_badge_services—
has_pull_request_templateno

Sustainability & Governance

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

90Excellent · 23% of overall

Maintainer resilience (bus factor)

83Excellent
How it's scored
43.2/54Bus factor — 4 contributor(s) cover half of all commits
16.2/22.5Commit distribution — top contributor authored 28% of commits
13.5/13.5Contributor breadth — 58 contributors
10/10OpenSSF Scorecard: Contributors — project has 8 contributing companies or organizations
Inputs used
bus_factor4
contributors_sampled58
top_contributor_share0.279

Issue & PR responsiveness

89Excellent
How it's scored
39/42Issue resolution — 93% of issues closed
23/30PR acceptance — 508/662 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs508
open_issues35
closed_issues450
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio0.928
closed_unmerged_prs154
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

100Exceptional
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
25/25Owner reach — 126,535 followers of openai
25/25Track record — 264 public repos, account ~10 yr old
Inputs used
followers126,535
owner_typeOrganization
is_verified—
owner_loginopenai
public_repos264
account_age_days3,939
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Engineering Quality

Are baseline engineering and documentation practices in place?

84Excellent · 19% of overall

Engineering practices

74Good
How it's scored
24/24CI workflows — 7 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
6.4/6.4.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_editorconfigyes
has_linter_configno
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://www.nuget.org/packages/OpenAI
10/10Repository description
10/10Topics — 3 topics
10/10Wiki
Inputs used
topicscsharp, dotnet, openai
has_wikiyes
homepagehttps://www.nuget.org/packages/OpenAI
docs_sitehttps://www.nuget.org/packages/OpenAI
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

58Moderate · 16% of overall

Security posture

58Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3/7.5Branch-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
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 8 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 24 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
5/5Pinned-Dependencies — all dependencies are pinned
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not 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_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate5.8

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.

78Good · 4% of overall

Agent context & guidance

75Good
How it's scored
45/45Agent instructions — .github/copilot-instructions.md
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no data
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share—
agent_instruction_files.github/copilot-instructions.md
agent_instruction_max_bytes512
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.

Verify loop (build / test / typecheck)

65Good
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
11/11Static type checking — codegen/tsconfig.json
10/10Reproducible environment — devcontainer, lockfile
0/10Demonstrated agent practice — no data
0/8Automated maintenance — no data
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json
has_dockerfileno
typed_languageyes
bootstrap_files—
has_devcontaineryes
has_linter_configno
typecheck_configscodegen/tsconfig.json
agent_commit_share—
toolchain_manifests—
dependency_bot_commit_share—
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.

Code legibility for models

100Exceptional
How it's scored
45/45Type-checkable code — C# (statically typed)
54.9/55Manageable file sizes — 8/3,426 source files over 60KB
Inputs used
primary_languageC#
largest_source_bytes504,611
source_files_sampled3,426
oversized_source_files8

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — examples
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

2,651GitHub stars
58contributors
335commits, last 12 months
0days since last push
34releases
4bus factor
35open issues
npm, NuGetpackage ecosystems

Data collection warnings

  • Could not fetch npm package '@open-ai/plugin' from its registry

More detail

OpenSSF Scorecard 5.8 / 10
5.8aggregate

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 · 2026-07-17 01:39 UTC

10Binary-Artifactsno binaries found in the repo
4Branch-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
10Code-Reviewall changesets reviewed
10Contributorsproject has 8 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 24 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
10Pinned-Dependenciesall dependencies are pinned
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 19
RegistryPackageVersion constraintManifest
npm@azure-tools/typespec-client-generator-core0.69.2codegen/package.json
npm@open-ai/pluginfile:codegen/package.json
npm@typespec/http1.13.0codegen/package.json
npm@typespec/http-client-csharp1.0.0-alpha.20260710.4codegen/package.json
npm@typespec/openapi1.13.0codegen/package.json
NuGetMicrosoft.Bcl.AsyncInterfaces—examples/OpenAI.Examples.csproj
NuGetNUnit—examples/OpenAI.Examples.csproj
NuGetNUnit3TestAdapter—examples/OpenAI.Examples.csproj
NuGetMicrosoft.NET.Test.Sdk—examples/OpenAI.Examples.csproj
NuGetMoq—examples/OpenAI.Examples.csproj
npm@open-ai/pluginfile:codegenpackage.json
NuGetAzure.Identity—tests/OpenAI.Tests.csproj
NuGetMicrosoft.ClientModel.TestFramework—tests/OpenAI.Tests.csproj
NuGetMicrosoft.NET.Test.Sdk—tests/OpenAI.Tests.csproj
NuGetMoq—tests/OpenAI.Tests.csproj
NuGetNUnit—tests/OpenAI.Tests.csproj
NuGetNUnit3TestAdapter—tests/OpenAI.Tests.csproj
NuGetSystem.Linq.AsyncEnumerable—tests/OpenAI.Tests.csproj
NuGetMicrosoft.Bcl.AsyncInterfaces—tests/OpenAI.Tests.csproj
All dependencies 285

Full resolved dependency set from the GitHub dependency graph: 13 direct and 272 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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npmwrap-ansi7.0.0indirect
npmwrap-ansi9.0.2indirect
npmwsl-utils0.1.0indirect
npmy18n5.0.8indirect
npmyallist5.0.0indirect
npmyaml2.9.0indirect
npmyargs17.7.3indirect
npmyargs18.0.0indirect
npmyargs-parser21.1.1indirect
npmyargs-parser22.0.0indirect
npmyocto-queue0.1.0indirect
NuGetMicrosoft.SourceLink.GitHub—indirect
NuGetMicrosoft.TypeSpec.Generator.ClientModel—indirect
NuGetOpenAI2.10.0indirect
NuGetSystem.ClientModel—indirect
NuGetSystem.Diagnostics.DiagnosticSource—indirect
NuGetSystem.Net.ServerSentEvents—indirect
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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 v0.11.0 — full methodology · metrics wiki.

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