Public record
Software health reportschema 0.12.0 · metrics 2.10.0 · 2026-07-18 13:50 UTC

litestar-org / polyfactory

Simple and powerful factories for mock data generation

PythonMIT★ 1,496 stars⑂ 117 forkssince Nov 2021View on GitHub ↗
KindLibraryhow this is determined
#pydantic#python#dataclasses#starlite#hacktoberfest#typeddict#litestar#pydantic-factories#polyfactory#beanie#msgspec#odmantic

litestar-org/polyfactory holds a health index of 93 out of 100, placing it in the Exceptional band. It scores highest on Engineering Quality (92/100) and lowest on Security (59/100). It was last updated 4 days ago. 3 contributors account for most of its recent work.

93
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.

93
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 79 is calibrated to 93 on the published index scale (record calibration 2026-08-02).

Ownership

LitestarOrganization
396 followers50 public repossince Jan 2022

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIpolyfactory3.3.0-52146 days agoattrsdataclassesmsgspecpydanticsqlalchemy

Metrics by category

Vitality

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

77Good · 21% of overall

Development activity

69Good
How it's scored
36/36Push recency — last push 4 days ago
14.5/36Commit cadence — 21/52 weeks with commits
16.6/18Commit volume — 70 commits in the last year
2/10OpenSSF Scorecard: Maintained — 3 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 2
Inputs used
commits_last_year70
human_commit_share—
days_since_last_push4
active_weeks_last_year21

Release discipline

90Excellent
How it's scored
27/27Ships releases — 51 releases published
27/36Release recency — latest release 146 days ago
27/27Release cadence — a release every ~26.2 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count51
latest_release_tagv3.3.0
releases_from_tagsno
days_since_latest_release146
mean_days_between_releases26.2
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?

82Excellent · 17% of overall

Popularity & adoption

74Good
How it's scored
51.5/60Stars — 1,496 stars
17.2/25Forks — 117 forks
5/15Watchers — 9 watchers
Inputs used
forks117
stars1,496
watchers9
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges—
has_contributingyes
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?

85Excellent · 23% of overall

Maintainer resilience (bus factor)

76Good
How it's scored
36/54Bus factor — 3 contributor(s) cover half of all commits
16.6/22.5Commit distribution — top contributor authored 26% of commits
13.5/13.5Contributor breadth — 75 contributors
10/10OpenSSF Scorecard: Contributors — project has 21 contributing companies or organizations
Inputs used
bus_factor3
contributors_sampled75
top_contributor_share0.263

Issue & PR responsiveness

79Good
How it's scored
34.6/42Issue resolution — 82% of issues closed
25.2/30PR acceptance — 429/510 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
9/15OpenSSF Scorecard: Code-Review — Found 12/19 approved changesets -- score normalized to 6
Inputs used
merged_prs429
open_issues50
closed_issues232
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio0.823
closed_unmerged_prs81
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

88Excellent
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
18.7/25Owner reach — 396 followers of litestar-org
21.5/25Track record — 50 public repos, account ~4 yr old
Inputs used
followers396
owner_typeOrganization
is_verified—
owner_loginlitestar-org
public_repos50
account_age_days1,653
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 146 days ago
20/20Version history — 52 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagespolyfactory
ecosystemspypi
any_deprecatedno
min_days_since_publish146

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 5 workflow(s)
24/24Tests present
16/16Linter config
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://polyfactory.litestar.dev/
10/10Repository description
10/10Topics — 12 topics
0/10Wiki
Inputs used
topicspydantic, python, dataclasses, starlite, hacktoberfest, typeddict, litestar, pydantic-factories, polyfactory, beanie, msgspec, odmantic
has_wikino
homepagehttps://polyfactory.litestar.dev/
docs_sitehttps://polyfactory.litestar.dev/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

59Moderate · 16% of overall

Security posture

59Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
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
4.5/7.5Code-Review — Found 12/19 approved changesets -- score normalized to 6
2.5/2.5Contributors — project has 21 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
1.5/7.5Maintained — 3 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 2
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
4.5/5SAST — SAST tool detected but not run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 18 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5.9
Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.

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.

62Moderate · 4% of overall

Agent context & guidance

1Critical
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
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—
agent_instruction_max_bytes—
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.

Verify loop (build / test / typecheck)

86Excellent
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config
11/11Static type checking — polyfactory/py.typed
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no data
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configspolyfactory/py.typed
agent_commit_share—
toolchain_manifests—
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (polyfactory/py.typed)
55/55Manageable file sizes — 0/158 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes55,384
source_files_sampled158
oversized_source_files0

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

1,496GitHub stars
75contributors
70commits, last 12 months
4days since last push
51releases
3bus factor
50open issues
PyPIpackage ecosystems

More detail

OpenSSF Scorecard 5.9 / 10
5.9aggregate

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 · 2026-07-18 13:49 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
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
6Code-ReviewFound 12/19 approved changesets -- score normalized to 6
10Contributorsproject has 21 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
2Maintained3 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 2
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
9SASTSAST tool detected but not run on all commits
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities18 existing vulnerabilities detected
Direct dependencies 2
RegistryPackageVersion constraintManifest
PyPIfaker>=5.0.0pyproject.toml
PyPItyping-extensions>=4.6.0pyproject.toml
All dependencies 137

Full resolved dependency set from the GitHub dependency graph: 3 direct and 134 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPIfaker38.2.0direct
PyPItyping-extensions4.15.0direct
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PyPIbabel2.17.0indirect
PyPIbackports-asyncio-runner1.2.0indirect
PyPIbeanie1.30.0indirect
PyPIbeautifulsoup44.14.2indirect
PyPIcachecontrol0.14.3indirect
PyPIcachecontrol0.14.4indirect
PyPIcertifi2025.11.12indirect
PyPIcharset-normalizer3.4.4indirect
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PyPIsphinx-prompt1.9.0indirect
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PyPIsphinx-togglebutton0.3.2indirect
PyPIsphinx-toolbox4.0.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-mermaid1.2.2indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
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PyPIstarlette0.49.3indirect
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PyPItabulate0.9.0indirect
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PyPItzdata2025.2indirect
PyPIurllib32.6.3indirect
PyPIuvicorn0.38.0indirect
PyPIwatchfiles1.1.1indirect
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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 v0.12.0 — full methodology · metrics wiki.

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