Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-15 22:53 UTC

Artui / djangorestframework-pydantic-ai

Expose djangorestframework-services services and selectors as a Pydantic-AI toolset.

PythonMIT★ 2 stars⑂ 0 forkssince Jun 2026View on GitHub ↗
KindLibraryNetwork servicehow this is determined

Artui/djangorestframework-pydantic-ai holds a health index of 69 out of 100, placing it in the Good band. It scores highest on AI Readiness (91/100) and lowest on Community & Adoption (34/100). It was last updated 1 day ago. A single contributor accounts for most of its recent work.

69
overall / 100
Good

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.

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

Ownership

ArturPersonal account
11 followers24 public repossince Oct 2015

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIdjangorestframework-pydantic-ai0.27.06,181369 days agoagentaidjangodrfllmpydantic-airest-frameworktools

Metrics by category

Vitality

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

73Good · 21% of overall

Development activity

61Moderate
How it's scored
36/36Push recency — last push 1 days ago
8.3/36Commit cadence — 12/52 weeks with commits
17/18Commit volume — 78 commits in the last year
0/10OpenSSF Scorecard: Maintained — project was created within the last 90 days. Please review its contents carefully
Inputs used
commits_last_year78
human_commit_share0.872
days_since_last_push1
active_weeks_last_year12

Release discipline

90Excellent
How it's scored
27/27Ships releases — 36 releases published
36/36Release recency — latest release 9 days ago
27/27Release cadence — a release every ~1.2 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count36
latest_release_tagv0.27.0
releases_from_tagsno
days_since_latest_release9
mean_days_between_releases1.2

Community & Adoption

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

34At Risk · 17% of overall

Popularity & adoption

1Critical
How it's scored
0/60Stars — 2 stars
0/25Forks — 0 forks
0/15Watchers — 0 watchers
Inputs used
forks0
stars2
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

50Moderate
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges8
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

63Moderate
How it's scored
50.5/80Monthly downloads — 6,181 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesdjangorestframework-pydantic-ai
dependents—
ecosystemspypi
total_downloads—
monthly_downloads6,181
unverified_packages_excluded—
Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.

Sustainability & Governance

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

50Moderate · 23% of overall

Maintainer resilience (bus factor)

10Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0/22.5Commit distribution — top contributor authored 100% of commits
1.4/13.5Contributor breadth — 1 contributors
0/10OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1

Issue & PR responsiveness

56Moderate
How it's scored
0/42Issue resolution — no issues or no data
25.1/30PR acceptance — 71/85 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/25 approved changesets -- score normalized to 0
Inputs used
merged_prs71
open_issues0
closed_issues0
prs_merged_7d0
prs_decided_7d0
prs_merged_30d25
prs_decided_30d25
issue_closed_ratio—
closed_unmerged_prs14
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Issue resolution, Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

50Moderate
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
7.8/25Owner reach — 11 followers of Artui
22.2/25Track record — 24 public repos, account ~10 yr old
Inputs used
followers11
owner_typeUser
is_verified—
owner_loginArtui
public_repos24
account_age_days3,986
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 9 days ago
20/20Version history — 36 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesdjangorestframework-pydantic-ai
ecosystemspypi
any_deprecatedno
min_days_since_publish9

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 3 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 — 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

75Good
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepage—
docs_site—
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

61Moderate · 16% of overall

Security posture

51Moderate
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
0/7.5Code-Review — Found 0/25 approved changesets -- score normalized to 0
0/2.5Contributors — project has 0 contributing companies or organizations -- score normalized to 0
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
0/7.5Maintained — project was created within the last 90 days. Please review its contents carefully
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
2/5Security-Policy — security policy file 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_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.1
Excluded from scoring (no data or not applicable): Branch-Protection. 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_packages23
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:djangorestframework-pydantic-ai@0.27.0 runtime dependency closure — what installing the published package pulls in — 23 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.

91Excellent · 4% of overall

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 64 of 68 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.941
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes8,896

Verify loop (build / test / typecheck)

100Exceptional
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — rest_framework_pydantic_ai/py.typed
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 46 of the last 78 commits agent-authored or agent-credited
8/8Automated maintenance — 10 of the last 78 commits are automated dependency updates
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configsrest_framework_pydantic_ai/py.typed
agent_commit_share0.59
toolchain_manifests—
dependency_bot_commit_share0.128

Code legibility for models

78Good
How it's scored
27/45Type-checkable code — Python with type-check config (rest_framework_pydantic_ai/py.typed)
50.6/55Manageable file sizes — 2/25 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes149,516
source_files_sampled25
oversized_source_files2

Key facts

2GitHub stars
1contributors
78commits, last 12 months
1days since last push
36releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

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

More detail

OpenSSF Scorecard 5.1 / 10
5.1aggregate

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 · 2026-09-15 22:53 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
0Code-ReviewFound 0/25 approved changesets -- score normalized to 0
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintainedproject was created within the last 90 days. Please review its contents carefully
10Packagingpackaging workflow detected
10Pinned-Dependenciesall dependencies are pinned
0SASTSAST tool is not run on all commits -- score normalized to 0
4Security-Policysecurity policy file 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 4
RegistryPackageVersion constraintManifest
PyPIdjango>=4.2pyproject.toml
PyPIdjangorestframework>=3.14pyproject.toml
PyPIdjangorestframework-services>=0.49pyproject.toml
PyPIpydantic-ai-slim>=2.16,<3pyproject.toml
All dependencies 87

Full resolved dependency set from the GitHub dependency graph: 5 direct and 82 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIdjango5.2.17direct
PyPIdjango6.1direct
PyPIdjangorestframework3.18.0direct
PyPIdjangorestframework-services0.49.0direct
PyPIpydantic-ai-slim2.37.0direct
PyPIannotated-types0.7.0indirect
PyPIanyio4.14.0indirect
PyPIasgiref3.11.1indirect
PyPIbabel2.18.0indirect
PyPIbackports-asyncio-runner1.2.0indirect
PyPIbackrefs7.0indirect
PyPIcertifi2026.6.17indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.7indirect
PyPIclick8.4.1indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.14.3indirect
PyPIdistlib0.4.3indirect
PyPIdjango-filter26.1indirect
PyPIdjango-stubs6.0.9indirect
PyPIdjango-stubs-ext6.0.6indirect
PyPIdjangorestframework-dataclasses1.4.0indirect
PyPIdjangorestframework-stubs3.18.0indirect
PyPIexceptiongroup1.3.1indirect
PyPIfilelock3.29.4indirect
PyPIflake87.3.0indirect
PyPIflake8-tidy-imports4.12.0indirect
PyPIgenai-prices0.1.6indirect
PyPIghp-import2.1.0indirect
PyPIgriffelib2.1.0indirect
PyPIh110.16.0indirect
PyPIhttpcore22.12.0indirect
PyPIhttpx22.12.0indirect
PyPIhttpx2-jsfetch1.0indirect
PyPIidentify2.6.19indirect
PyPIidna3.18indirect
PyPIiniconfig2.3.0indirect
PyPIjinja23.1.6indirect
PyPIlogfire-api4.37.0indirect
PyPImarkdown3.10.2indirect
PyPImarkupsafe3.0.3indirect
PyPImccabe0.7.0indirect
PyPImergedeep1.3.4indirect
PyPImkdocs1.6.1indirect
PyPImkdocs-autorefs1.4.4indirect
PyPImkdocs-get-deps0.2.2indirect
PyPImkdocs-material9.7.7indirect
PyPImkdocs-material-extensions1.3.1indirect
PyPImkdocstrings1.0.4indirect
PyPImkdocstrings-python2.0.5indirect
PyPInodeenv1.10.0indirect
PyPIopentelemetry-api1.42.1indirect
PyPIpackaging26.2indirect
PyPIpaginate0.5.7indirect
PyPIpathspec1.1.1indirect
PyPIplatformdirs4.10.0indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.6.2indirect
PyPIpycodestyle2.14.0indirect
PyPIpydantic2.13.4indirect
PyPIpydantic-core2.46.4indirect
PyPIpydantic-graph2.37.0indirect
PyPIpyflakes3.4.0indirect
PyPIpygments2.20.0indirect
PyPIpymdown-extensions11.0.1indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-django4.14.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.4.2indirect
PyPIpyyaml6.0.3indirect
PyPIpyyaml-env-tag1.1indirect
PyPIrequests2.34.2indirect
PyPIruff0.16.5indirect
PyPIsix1.17.0indirect
PyPIsqlparse0.6.0indirect
PyPItomli2.4.1indirect
PyPItruststore0.10.4indirect
PyPIty0.0.78indirect
PyPItypes-pyyaml6.0.12.20260518indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.2indirect
PyPIurllib32.7.0indirect
PyPIvirtualenv21.5.1indirect
PyPIwatchdog6.0.0indirect
Dependency advisories 0

Installing pypi:djangorestframework-pydantic-ai@0.27.0 pulls in 23 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

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.

Related records

Inspected repositories sharing catalogue tags or ecosystems with Artui/djangorestframework-pydantic-ai. Read them side by side →

99google/adk-pythonAn open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.Exceptional99ag2ai/ag2AG2 (formerly AutoGen): The Open-Source AgentOS.Join us at: https://discord.gg/sNGSwQME3xExceptional98bytedance/deer-flowAn open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.Exceptional98paperless-ngx/paperless-ngxA community-supported supercharged document management system: scan, index and archive all your documentsExceptional98ModelEngine-Group/nexentNexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.Exceptional98googleapis/mcp-toolboxMCP Toolbox for Databases is an open source MCP server for databases.Exceptional

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.