Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-13 20:45 UTC

guardrails-ai / guardrails-api

FastAPI server for hosting Guardrails AI in your own environment.

PythonCustom license★ 17 stars⑂ 3 forkssince Jun 2023View on GitHub ↗
KindCommand-line toolNetwork serviceLibraryhow this is determined

guardrails-ai/guardrails-api holds a health index of 81 out of 100, placing it in the Excellent band. It scores highest on Vitality (82/100) and lowest on Community & Adoption (38/100). It was last updated 30 days ago. A single contributor accounts for most of its recent work.

81
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.

81
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 69 is calibrated to 81 on the published index scale (record calibration 2026-08-02).

Ownership

Guardrails AIOrganization · verified domain
234 followers97 public repossince Jul 2023

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIguardrails-api0.4.42,9473430 days agoguardrailsguardrails-aiguardrails-api

Metrics by category

Vitality

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

82Excellent · 21% of overall

Development activity

70Good
How it's scored
28.8/36Push recency — last push 30 days ago
13.2/36Commit cadence — 19/52 weeks with commits
18/18Commit volume — 174 commits in the last year
10/10OpenSSF Scorecard: Maintained — 19 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year174
human_commit_share0.98
days_since_last_push30
active_weeks_last_year19

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 10 releases published
36/36Release recency — latest release 30 days ago
27/27Release cadence — a release every ~19.9 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count10
latest_release_tagv0.4.4
releases_from_tagsno
days_since_latest_release30
mean_days_between_releases19.9
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?

38Weak · 17% of overall

Popularity & adoption

26At Risk
How it's scored
19.5/60Stars — 17 stars
2.5/25Forks — 3 forks
3.9/15Watchers — 6 watchers
Inputs used
forks3
stars17
watchers6
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

51Moderate
How it's scored
22.5/22.5README
16.9/22.5License — license file present, not a recognized license
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

Sustainability & Governance

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

68Good · 23% of overall

Maintainer resilience (bus factor)

35Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
6.3/22.5Commit distribution — top contributor authored 72% of commits
9.5/13.5Contributor breadth — 7 contributors
10/10OpenSSF Scorecard: Contributors — project has 6 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled7
top_contributor_share0.72

Issue & PR responsiveness

65Good
How it's scored
21/42Issue resolution — 50% of issues closed
20.2/30PR acceptance — 76/113 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_prs76
open_issues12
closed_issues12
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.5
closed_unmerged_prs37
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

86Excellent
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
17/25Owner reach — 234 followers of guardrails-ai
19.3/25Track record — 97 public repos, account ~3 yr old
Inputs used
followers234
owner_typeOrganization
is_verifiedyes
owner_loginguardrails-ai
public_repos97
account_age_days1,147

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 30 days ago
20/20Version history — 34 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesguardrails-api
ecosystemspypi
any_deprecatedno
min_days_since_publish30

Engineering Quality

Are baseline engineering and documentation practices in place?

82Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 9 out of 9 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

65Good
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://guardrailsai.com/
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepagehttps://guardrailsai.com/
docs_sitehttps://guardrailsai.com/
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

71Good · 16% of overall

Security posture

64Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 9 out of 9 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 6 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
2.2/2.5License — license file detected
7.5/7.5Maintained — 19 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
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 — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
6.8/7.5Vulnerabilities — 1 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6.4
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_packages118
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:guardrails-api@0.4.4 runtime dependency closure — what installing the published package pulls in — 118 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.

59Moderate · 4% of overall

Agent context & guidance

16Critical
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
16.3/40Legible commit history — 30 of 98 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.306
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

82Excellent
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — guardrails_api/py.typed, pyrightconfig.json
10/10Reproducible environment — Dockerfile
10/10Demonstrated agent practice — 10 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configsguardrails_api/py.typed, pyrightconfig.json
agent_commit_share0.1
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (guardrails_api/py.typed, pyrightconfig.json)
55/55Manageable file sizes — 0/86 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes21,777
source_files_sampled86
oversized_source_files0

Key facts

17GitHub stars
7contributors
174commits, last 12 months
30days since last push
10releases
1bus factor
12open issues
PyPIpackage ecosystems

Data collection warnings

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

More detail

Star and fork history 0 ★ / 3 ⇿
0Stars
3Forks
8Releases

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.

12233312025-032025-112026-07
Major 0Minor 3Patch 5

Each point covers 2 days.

OpenSSF Scorecard 6.4 / 10
6.4aggregate

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 · 2026-09-13 20:44 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests9 out of 9 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 6 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained19 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
9Vulnerabilities1 existing vulnerabilities detected
Direct dependencies 14
RegistryPackageVersion constraintManifest
PyPIguardrails-ai>=0.10.0pyproject.toml
PyPIguardrails-ai-types>=0.4.0pyproject.toml
PyPIpsycopg2-binary>=2.9.0,<3pyproject.toml
PyPIlitellm>=1.39.3,<2.0.0pyproject.toml
PyPItyper>=0.9.4,<1pyproject.toml
PyPIrequests>=2.31.0pyproject.toml
PyPIaiocache>=0.11.1pyproject.toml
PyPIfastapi>=0.110.0pyproject.toml
PyPISQLAlchemy>=2.0.0pyproject.toml
PyPIalembic>=1.13.0pyproject.toml
PyPIuvicorn>=0.23.0pyproject.toml
PyPIpython-dotenv>=1.0.0pyproject.toml
PyPIopenai>=1pyproject.toml
PyPItyping-extensions>=4.8.0,<5.0.0pyproject.toml
All dependencies 125

Full resolved dependency set from the GitHub dependency graph: 27 direct and 98 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaiocache—direct
PyPIaiocache0.12.3direct
PyPIalembic—direct
PyPIalembic1.18.4direct
PyPIfastapi—direct
PyPIfastapi0.137.2direct
PyPIguardrails-ai—direct
PyPIguardrails-ai0.10.2direct
PyPIguardrails-ai-types—direct
PyPIguardrails-ai-types0.5.0direct
PyPIlitellm—direct
PyPIlitellm1.89.2direct
PyPIopenai—direct
PyPIopenai2.43.0direct
PyPIpsycopg2-binary—direct
PyPIpsycopg2-binary2.9.12direct
PyPIpython-dotenv—direct
PyPIpython-dotenv1.2.2direct
PyPIrequests—direct
PyPIrequests2.34.2direct
PyPIsqlalchemy—direct
PyPIsqlalchemy2.0.51direct
PyPItyper—direct
PyPItyper0.19.2direct
PyPItyping-extensions4.15.0direct
PyPIuvicorn—direct
PyPIuvicorn0.49.0direct
PyPIaiohappyeyeballs2.6.2indirect
PyPIaiohttp3.14.3indirect
PyPIaiosignal1.4.0indirect
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.14.2indirect
PyPIarrow1.4.0indirect
PyPIattrs26.1.0indirect
PyPIcertifi2026.6.17indirect
PyPIcharset-normalizer3.4.7indirect
PyPIclick8.2.0indirect
PyPIdiff-match-patch20241021indirect
PyPIdistro1.9.0indirect
PyPIfaker37.12.0indirect
PyPIfastuuid0.14.0indirect
PyPIfilelock3.29.4indirect
PyPIfqdn1.5.1indirect
PyPIfrozenlist1.8.0indirect
PyPIfsspec2026.6.0indirect
PyPIgoogleapis-common-protos1.75.0indirect
PyPIgrpcio1.81.1indirect
PyPIguardrails-hub-types0.0.4indirect
PyPIgunicorn—indirect
PyPIh110.16.0indirect
PyPIhf-xet1.5.1indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIhuggingface-hub1.13.0indirect
PyPIidna3.18indirect
PyPIimportlib-metadata8.9.0indirect
PyPIisoduration20.11.0indirect
PyPIjinja23.1.6indirect
PyPIjiter0.15.0indirect
PyPIjsonpatch1.33indirect
PyPIjsonpointer3.1.1indirect
PyPIjsonref1.1.0indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIlangchain-core1.4.8indirect
PyPIlangchain-protocol0.0.18indirect
PyPIlangsmith0.8.18indirect
PyPIlark1.3.1indirect
PyPIlxml6.1.1indirect
PyPImako1.3.12indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.3indirect
PyPImdurl0.1.2indirect
PyPImultidict6.7.1indirect
PyPIopentelemetry-api1.42.1indirect
PyPIopentelemetry-exporter-otlp-proto-common1.42.1indirect
PyPIopentelemetry-exporter-otlp-proto-grpc1.42.1indirect
PyPIopentelemetry-exporter-otlp-proto-http1.42.1indirect
PyPIopentelemetry-proto1.42.1indirect
PyPIopentelemetry-sdk1.42.1indirect
PyPIopentelemetry-semantic-conventions0.63b1indirect
PyPIorjson3.11.9indirect
PyPIpackaging26.2indirect
PyPIpropcache0.5.2indirect
PyPIprotobuf6.33.6indirect
PyPIpydantic2.13.4indirect
PyPIpydantic-core2.46.4indirect
PyPIpydash8.0.6indirect
PyPIpygments2.20.0indirect
PyPIpyjwt2.13.0indirect
PyPIpyright—indirect
PyPIpytest—indirect
PyPIpytest-asyncio—indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpyyaml6.0.3indirect
PyPIreferencing0.37.0indirect
PyPIregex2026.5.9indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrfc3339-validator0.1.4indirect
PyPIrfc3986-validator0.1.1indirect
PyPIrfc3987-syntax1.1.0indirect
PyPIrich14.3.4indirect
PyPIrpds-py2026.5.1indirect
PyPIrstr3.2.2indirect
PyPIsemver3.0.4indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsniffio1.3.1indirect
PyPIstarlette1.3.1indirect
PyPItenacity9.1.4indirect
PyPItiktoken0.13.0indirect
PyPItokenizers0.23.1indirect
PyPItqdm4.68.3indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.2indirect
PyPIuri-template1.3.0indirect
PyPIurllib32.7.0indirect
PyPIuuid-utils0.16.2indirect
PyPIwebcolors25.10.0indirect
PyPIwebsockets16.0indirect
PyPIxxhash3.7.0indirect
PyPIyarl1.24.2indirect
PyPIzipp4.1.0indirect
PyPIzstandard0.25.0indirect
Dependency advisories 0

Installing pypi:guardrails-api@0.4.4 pulls in 118 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.