Public record
Software health reportschema 0.12.0 · metrics 2.10.0 · 2026-07-17 19:16 UTC

Artui / djangorestframework-services

A service-oriented layer for Django REST Framework: precise, controllable side effects for mutating endpoints — beyond record-CRUD ViewSets.

PythonMIT★ 4 stars⑂ 0 forkssince Apr 2026View on GitHub ↗
KindLibraryNetwork servicehow this is determined

Artui/djangorestframework-services holds a health index of 65 out of 100, placing it in the Good band. It scores highest on Engineering Quality (86/100) and lowest on Community & Adoption (37/100). It was last updated today. A single contributor accounts for most of its recent work.

65
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.

65
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 60 is calibrated to 65 on the published index scale (record calibration 2026-08-02).

Ownership

ArturPersonal account
11 followers16 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-services0.25.17,548310 days agodjangodjangorestframeworkdrfservice-layerservices

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 0 days ago
6.9/36Commit cadence — 10/52 weeks with commits
18/18Commit volume — 108 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_year108
human_commit_share—
days_since_last_push0
active_weeks_last_year10

Release discipline

90Excellent
How it's scored
27/27Ships releases — 19 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~2.9 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count19
latest_release_tagv0.25.1
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases2.9

Community & Adoption

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

37Weak · 17% of overall

Popularity & adoption

8Critical
How it's scored
7.7/60Stars — 4 stars
0/25Forks — 0 forks
0/15Watchers — 0 watchers
Inputs used
forks0
stars4
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_badges—
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Ecosystem adoption (downloads)

65Good
How it's scored
51.7/80Monthly downloads — 7,548 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesdjangorestframework-services
dependents—
ecosystemspypi
total_downloads—
monthly_downloads7,548
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?

52Moderate · 23% of overall

Maintainer resilience (bus factor)

14Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0.6/22.5Commit distribution — top contributor authored 97% of commits
4.1/13.5Contributor breadth — 3 contributors
0/10OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled3
top_contributor_share0.972

Issue & PR responsiveness

62Moderate
How it's scored
0/42Issue resolution — no issues or no data
27.7/30PR acceptance — 36/39 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/14 approved changesets -- score normalized to 0
Inputs used
merged_prs36
open_issues0
closed_issues0
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio—
closed_unmerged_prs3
first_time_authors_30d—
first_time_prs_merged_30d—
first_time_prs_decided_30d—
Excluded from scoring (no data or not applicable): Issue resolution, Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

48Weak
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
21/25Track record — 16 public repos, account ~10 yr old
Inputs used
followers11
owner_typeUser
is_verified—
owner_loginArtui
public_repos16
account_age_days3,926
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 0 days ago
20/20Version history — 31 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesdjangorestframework-services
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 16 out of 16 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?

46Weak · 16% of overall

Security posture

46Weak
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 — 16 out of 16 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 0/14 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
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
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_aggregate4.6
Excluded from scoring (no data or not applicable): Branch-Protection. 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.

75Good · 4% of overall

Agent context & guidance

75Good
How it's scored
45/45Agent instructions — CLAUDE.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_filesCLAUDE.md
agent_instruction_max_bytes18,807
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 — rest_framework_services/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_configsrest_framework_services/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 (rest_framework_services/py.typed)
55/55Manageable file sizes — 0/243 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes31,610
source_files_sampled243
oversized_source_files0

Machine-readable interfaces

40Weak
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
0/20MCP server
40/40Runnable examples — examples, recipes
Inputs used
example_dirsexamples, recipes
has_mcp_signalno
api_schema_files—
interfaces_expected_ofnetwork-service

Key facts

4GitHub stars
3contributors
108commits, last 12 months
0days since last push
19releases
1bus factor
0open issues
PyPIpackage ecosystems

More detail

OpenSSF Scorecard 4.6 / 10
4.6aggregate

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 19:16 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-Tests16 out of 16 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 0/14 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
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
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-dataclasses>=1.3.1pyproject.toml
PyPItyping-extensions>=4.6pyproject.toml
All dependencies 78

Full resolved dependency set from the GitHub dependency graph: 4 direct and 74 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIdjango5.2.16direct
PyPIdjangorestframework3.17.1direct
PyPIdjangorestframework-dataclasses1.4.0direct
PyPItyping-extensions4.16.0direct
PyPIasgiref3.11.1indirect
PyPIattrs26.1.0indirect
PyPIbabel2.18.0indirect
PyPIbackports-asyncio-runner1.2.0indirect
PyPIbackrefs7.0indirect
PyPIcertifi2026.4.22indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.7indirect
PyPIclick8.4.0indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.14.0indirect
PyPIdistlib0.4.0indirect
PyPIdjango-filter25.2indirect
PyPIdjango-stubs6.0.6indirect
PyPIdjango-stubs-ext6.0.4indirect
PyPIdjangorestframework-stubs3.17.0indirect
PyPIdrf-spectacular0.30.0indirect
PyPIexceptiongroup1.3.1indirect
PyPIfilelock3.29.0indirect
PyPIflake87.3.0indirect
PyPIflake8-tidy-imports4.12.0indirect
PyPIghp-import2.1.0indirect
PyPIgriffelib2.0.2indirect
PyPIidentify2.6.19indirect
PyPIidna3.15indirect
PyPIinflection0.5.1indirect
PyPIiniconfig2.3.0indirect
PyPIjinja23.1.6indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
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-material9.7.6indirect
PyPImkdocs-material-extensions1.3.1indirect
PyPImkdocstrings1.0.4indirect
PyPImkdocstrings-python2.0.3indirect
PyPInodeenv1.10.0indirect
PyPIpackaging26.2indirect
PyPIpaginate0.5.7indirect
PyPIpathspec1.1.1indirect
PyPIplatformdirs4.9.6indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.6.0indirect
PyPIpycodestyle2.14.0indirect
PyPIpyflakes3.4.0indirect
PyPIpygments2.20.0indirect
PyPIpymdown-extensions10.21.3indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-django4.12.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.3.1indirect
PyPIpyyaml6.0.3indirect
PyPIpyyaml-env-tag1.1indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.34.2indirect
PyPIrpds-py0.30.0indirect
PyPIruff0.15.20indirect
PyPIsix1.17.0indirect
PyPIsqlparse0.5.5indirect
PyPItomli2.4.1indirect
PyPIty0.0.57indirect
PyPItypes-pyyaml6.0.12.20260518indirect
PyPItzdata2026.2indirect
PyPIuritemplate4.2.0indirect
PyPIurllib32.7.0indirect
PyPIvirtualenv21.3.3indirect
PyPIwatchdog6.0.0indirect
Raw JSON report machine-readable

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87eadwinCode/django-ninja-extraDjango Ninja Extra - Class-Based Utility and more for Django Ninja(Fast Django REST framework)Excellent83tfranzel/drf-spectacularSane and flexible OpenAPI 3 schema generation for Django REST framework.Excellent81axnsan12/drf-yasgAutomated generation of real Swagger/OpenAPI 2.0 schemas from Django REST Framework code.Excellent78wagnerdelima/drf-social-oauth2drf-social-oauth2 makes it easy to integrate Django social authentication with major OAuth2 providers, i.e., Facebook, Twitter, Google, etc.Good71Artui/djangorestframework-mcp-serverExpose djangorestframework-services services and selectors as a Model Context Protocol (MCP) 2025-11-25 Streamable HTTP server.Good63Artui/djangorestframework-pydantic-aiExpose djangorestframework-services services and selectors as a Pydantic-AI toolset.Moderate

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.