Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-03 06:41 UTC

microsoft / PyRIT

The Python Risk Identification Tool for generative AI (PyRIT) is an open source framework built to empower security professionals and engineers to proactively identify risks in generative AI systems.

Python · TypeScriptMIT★ 4,573 stars⑂ 923 forkssince Dec 2023View on GitHub ↗
KindNetwork serviceCommand-line toolMCP serverLibraryWeb interfacehow this is determined
#ai-red-team#generative-ai#red-team-tools#responsible-ai

microsoft/PyRIT holds a health index of 99 out of 100, placing it in the Exceptional band. It scores highest on Vitality (100/100) and lowest on Security (80/100). It was last updated today. 3 contributors account for most of its recent work.

99
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.

99
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 90 is calibrated to 99 on the published index scale (record calibration 2026-08-02).

Ownership

MicrosoftOrganization · verified domain
130,904 followers8,342 public repossince Dec 2013

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIpyrit1.1.080,4792528 days agollmai-safetyai-securityai-red-teamai-red-teamingai-robustnessai-robustness-testingai-risk-assessment

Metrics by category

Vitality

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

100Exceptional · 21% of overall

Development activity

100Exceptional
How it's scored
36/36Push recency — last push 0 days ago
36/36Commit cadence — 52/52 weeks with commits
18/18Commit volume — 1,393 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year1,393
human_commit_share0.97
days_since_last_push0
active_weeks_last_year52

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 24 releases published
36/36Release recency — latest release 28 days ago
27/27Release cadence — a release every ~40.4 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count24
latest_release_tagv1.1.0
releases_from_tagsno
days_since_latest_release28
mean_days_between_releases40.4
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?

84Excellent · 17% of overall

Popularity & adoption

94Exceptional
How it's scored
59.4/60Stars — 4,573 stars
24.7/25Forks — 923 forks
9.4/15Watchers — 50 watchers
Inputs used
forks923
stars4,573
watchers50
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

72Good
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
0/18CONTRIBUTING guide
13.5/13.5Code 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_conductyes
readme_badge_services—
has_pull_request_templateyes

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)

76Good
How it's scored
36/54Bus factor — 3 contributor(s) cover half of all commits
16.4/22.5Commit distribution — top contributor authored 27% of commits
13.5/13.5Contributor breadth — 98 contributors
10/10OpenSSF Scorecard: Contributors — project has 9 contributing companies or organizations
Inputs used
bus_factor3
contributors_sampled98
top_contributor_share0.272

Issue & PR responsiveness

90Excellent
How it's scored
35.2/42Issue resolution — 84% of issues closed
26.5/30PR acceptance — 2,141/2,423 decided PRs merged
13/13Newcomer PR acceptance — 3/3 first-time contributors' PRs merged in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs2,141
open_issues74
closed_issues385
prs_merged_7d51
prs_decided_7d57
prs_merged_30d51
prs_decided_30d57
issue_closed_ratio0.839
closed_unmerged_prs282
first_time_authors_30d2
first_time_prs_merged_30d3
first_time_prs_decided_30d3

Ownership & stewardship

100Exceptional
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
25/25Owner reach — 130,904 followers of microsoft
25/25Track record — 8,342 public repos, account ~12 yr old
Inputs used
followers130,904
owner_typeOrganization
is_verifiedyes
owner_loginmicrosoft
public_repos8,342
account_age_days4,679

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 28 days ago
20/20Version history — 25 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagespyrit
ecosystemspypi
any_deprecatedno
min_days_since_publish28

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 7 workflow(s)
24/24Tests present
16/16Linter config — eslint.config.js, pyproject.toml ([tool.ruff])
9.6/9.6Pre-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_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://microsoft.github.io/PyRIT/
10/10Repository description
10/10Topics — 4 topics
0/10Wiki
Inputs used
topicsai-red-team, generative-ai, red-team-tools, responsible-ai
has_wikino
homepagehttps://microsoft.github.io/PyRIT/
docs_sitehttps://microsoft.github.io/PyRIT/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

80Excellent · 16% of overall

Security posture

75Good
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
6/7.5Branch-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 9 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 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
3.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
6/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 37 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate7.5
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_packages108
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:pyrit@1.1.0 runtime dependency closure — what installing the published package pulls in — 108 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.

85Excellent · 4% of overall

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — .github/copilot-instructions.md, .github/instructions/attacks.instructions.md, .github/instructions/converters.instructions.md, .github/instructions/database.instructions.md, .github/instructions/datasets.instructions.md, .github/instructions/docs.instructions.md, .github/instructions/frontend-style-guide.instructions.md, .github/instructions/frontend-test.instructions.md, .github/instructions/models.instructions.md, .github/instructions/output.instructions.md, .github/instructions/scenarios.instructions.md, .github/instructions/scorers.instructions.md, .github/instructions/setup-techniques.instructions.md, .github/instructions/style-guide.instructions.md, .github/instructions/targets.instructions.md, .github/instructions/test.instructions.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 84 of 97 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.866
agent_instruction_files.github/copilot-instructions.md, .github/instructions/attacks.instructions.md, .github/instructions/converters.instructions.md, .github/instructions/database.instructions.md, .github/instructions/datasets.instructions.md, .github/instructions/docs.instructions.md, .github/instructions/frontend-style-guide.instructions.md, .github/instructions/frontend-test.instructions.md, .github/instructions/models.instructions.md, .github/instructions/output.instructions.md, .github/instructions/scenarios.instructions.md, .github/instructions/scorers.instructions.md, .github/instructions/setup-techniques.instructions.md, .github/instructions/style-guide.instructions.md, .github/instructions/targets.instructions.md, .github/instructions/test.instructions.md
agent_instruction_max_bytes22,816

Verify loop (build / test / typecheck)

97Exceptional
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — eslint.config.js, pyproject.toml ([tool.ruff])
11/11Static type checking — frontend/tsconfig.json, pyrightconfig.json, pyrit/py.typed
10/10Reproducible environment — devcontainer, Dockerfile, lockfile
10/10Demonstrated agent practice — 62 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 3 of the last 100 commits are automated dependency updates
7/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json, uv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile
has_devcontaineryes
has_linter_configyes
typecheck_configsfrontend/tsconfig.json, pyrightconfig.json, pyrit/py.typed
agent_commit_share0.62
toolchain_manifests—
dependency_bot_commit_share0.03

Code legibility for models

81Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (frontend/tsconfig.json, pyrightconfig.json, pyrit/py.typed)
53.8/55Manageable file sizes — 45/1,980 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes425,744
source_files_sampled1,980
oversized_source_files45

Machine-readable interfaces

60Moderate
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
20/20MCP server
40/40Runnable examples — example, examples, notebooks, sample
Inputs used
example_dirsexample, examples, notebooks, sample
has_mcp_signalyes
api_schema_files—
interfaces_expected_ofnetwork-service

Key facts

4,573GitHub stars
98contributors
1,393commits, last 12 months
0days since last push
24releases
3bus factor
74open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • First-time contributor figures cover 12 of 24 authors (cap 12)

More detail

Star and fork history 0 ★ / 923 ⇿
0Stars
923Forks
24Releases

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.

02004006008001,0009101032024-022025-062026-10
Major 1Minor 15Patch 7

Each point covers 3 days.

OpenSSF Scorecard 7.5 / 10
7.5aggregate

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 · 2026-10-03 06:41 UTC

10Binary-Artifactsno binaries found in the repo
8Branch-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 9 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 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
7Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 7
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
8Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities37 existing vulnerabilities detected
Direct dependencies 62
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PyPIpython-docx>=1.1.0pyproject.toml
PyPIpython-dotenv>=1.2.2pyproject.toml
PyPIreportlab>=4.4.4pyproject.toml
PyPIsegno>=1.6.6pyproject.toml
PyPIscipy>=1.15.3pyproject.toml
PyPISQLAlchemy>=2.0.41pyproject.toml
PyPIstarlette>=1.0.1pyproject.toml
PyPItermcolor>=2.4.0pyproject.toml
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All dependencies 1,107

Full resolved dependency set from the GitHub dependency graph: 61 direct and 1,046 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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npmupdate-browserslist-db1.3.2indirect
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PyPIazure-monitor-opentelemetry-exporter1.0.0b45indirect
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PyPIjson-rpc1.15.0indirect
PyPIjson50.13.0indirect
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PyPImatplotlib3.11.2indirect
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PyPInotebook7.5.6indirect
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PyPInvidia-cublas13.1.1.3indirect
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PyPInvidia-cuda-runtime13.0.96indirect
PyPInvidia-cudnn-cu139.24.0.43indirect
PyPInvidia-cufft12.0.0.61indirect
PyPInvidia-cufile1.15.1.6indirect
PyPInvidia-curand10.4.0.35indirect
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PyPInvidia-nccl-cu132.30.7indirect
PyPInvidia-nvjitlink13.0.88indirect
PyPInvidia-nvshmem-cu133.4.5indirect
PyPInvidia-nvtx13.0.85indirect
PyPIoauthlib3.3.1indirect
PyPIollama0.6.2indirect
PyPIopencv-python5.0.0.93indirect
PyPIopentelemetry-api1.45.0indirect
PyPIopentelemetry-instrumentation0.66b0indirect
PyPIopentelemetry-instrumentation-asgi0.66b0indirect
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PyPIopentelemetry-instrumentation-fastapi0.66b0indirect
PyPIopentelemetry-instrumentation-flask0.66b0indirect
PyPIopentelemetry-instrumentation-psycopg20.66b0indirect
PyPIopentelemetry-instrumentation-requests0.66b0indirect
PyPIopentelemetry-instrumentation-urllib0.66b0indirect
PyPIopentelemetry-instrumentation-urllib30.66b0indirect
PyPIopentelemetry-instrumentation-wsgi0.66b0indirect
PyPIopentelemetry-resource-detector-azure0.1.5indirect
PyPIopentelemetry-semantic-conventions0.66b0indirect
PyPIopentelemetry-util-http0.66b0indirect
PyPIoverrides7.7.0indirect
PyPIpackaging25.0indirect
PyPIpandas3.0.6indirect
PyPIpandocfilters1.5.1indirect
PyPIparso0.8.5indirect
PyPIpexpect4.9.0indirect
PyPIplatformdirs4.5.1indirect
PyPIplaywright1.63.0indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.6.2indirect
PyPIpreshed3.0.12indirect
PyPIprometheus-client0.23.1indirect
PyPIprompt-toolkit3.0.52indirect
PyPIpropcache0.4.1indirect
PyPIproto-plus1.28.4indirect
PyPIprotobuf7.36.2indirect
PyPIpsutil7.2.1indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.3indirect
PyPIpyarrow25.0.1indirect
PyPIpyasn10.6.4indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpycparser2.23indirect
PyPIpydantic-core2.46.5indirect
PyPIpydantic-settings2.15.0indirect
PyPIpydash8.0.5indirect
PyPIpyee13.0.0indirect
PyPIpygments2.20.0indirect
PyPIpyparsing3.3.1indirect
PyPIpyrit1.2.0.dev0indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-rerunfailures16.7indirect
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PyPIpytest-xdist3.8.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-json-logger4.0.0indirect
PyPIpython-multipart0.0.32indirect
PyPIpywin32312indirect
PyPIpywinpty3.0.2indirect
PyPIpyyaml6.0.3indirect
PyPIpyzmq27.1.0indirect
PyPIreferencing0.36.2indirect
PyPIreferencing0.37.0indirect
PyPIregex2025.11.3indirect
PyPIrequests2.33.1indirect
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PyPIrfc3339-validator0.1.4indirect
PyPIrfc3986-validator0.1.1indirect
PyPIrfc3987-syntax1.1.0indirect
PyPIrich15.0.0indirect
PyPIrpds-py0.30.0indirect
PyPIruff0.16.9indirect
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PyPIsafetensors0.8.0indirect
PyPIsend2trash2.0.0indirect
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PyPIsetuptools83.0.0indirect
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PyPIsix1.17.0indirect
PyPIsmart-open7.5.0indirect
PyPIsniffio1.3.1indirect
PyPIsoupsieve2.9indirect
PyPIspacy3.8.16indirect
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PyPIstrictyaml1.7.3indirect
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PyPIterminado0.18.1indirect
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PyPItiktoken0.13.0indirect
PyPItinycss21.4.0indirect
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PyPItomli2.3.0indirect
PyPItorch2.14.0indirect
PyPItornado6.5.8indirect
PyPItraitlets5.14.3indirect
PyPItriton3.8.0indirect
PyPIty0.0.84indirect
PyPItyper0.24.2indirect
PyPItypes-aiofiles25.1.0.20260518indirect
PyPItypes-pyyaml6.0.12.20260906indirect
PyPItypes-requests2.33.0.20260906indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2025.3indirect
PyPIuri-template1.3.0indirect
PyPIurllib32.7.0indirect
PyPIuvloop0.22.1indirect
PyPIvirtualenv20.36.1indirect
PyPIwasabi1.1.3indirect
PyPIwatchfiles1.1.1indirect
PyPIwcwidth0.2.14indirect
PyPIweasel1.0.0indirect
PyPIwebcolors25.10.0indirect
PyPIwebencodings0.5.1indirect
PyPIwebsocket-client1.9.0indirect
PyPIwerkzeug3.1.6indirect
PyPIwidgetsnbextension4.0.15indirect
PyPIwrapt1.17.3indirect
PyPIxxhash3.6.0indirect
PyPIyarl1.22.0indirect
PyPIzipp3.23.0indirect
Dependency advisories 0

Installing pypi:pyrit@1.1.0 pulls in 108 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.

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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 v0.34.0 — full methodology · metrics wiki.

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