Public record
Software health reportschema 0.26.0 · metrics 1.13.0 · 2026-07-22 00:46 UTC

jazzband / django-model-utils

Django model mixins and utilities.

PythonBSD-3-Clause★ 2,761 stars⑂ 370 forkssince Nov 2009View on GitHub ↗

jazzband/django-model-utils holds a health index of 69 out of 100, placing it in the Moderate band. It scores highest on Engineering Quality (96/100) and lowest on Security (21/100). It was last updated 8 days ago. 4 contributors account for most of its recent work.

69
overall / 100
Moderate

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At risk ceiling of 49. AI Readiness sits outside the overall score.

69
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe 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.

Ownership

JazzbandOrganization
2,270 followers76 public repossince Oct 2015

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIdjango-model-utils5.0.0-43685 days ago

Metrics by category

Vitality

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

49At risk · 22% of overall
How it's scored
28.8/36Push recency — last push 8 days ago
4.2/36Commit cadence — 6/52 weeks with commits
9.4/18Commit volume — 10 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year10
human_commit_share0.96
days_since_last_push8
active_weeks_last_year6
How it's scored
27/27Ships releases — 11 releases published
7.2/36Release recency — latest release 685 days ago
12.6/27Release cadence — a release every ~192.1 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count11
latest_release_tag5.0.0
releases_from_tagsno
days_since_latest_release685
mean_days_between_releases192.1

Community & Adoption

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

93Excellent · 18% of overall
How it's scored
55.8/60Stars — 2,761 stars
21.4/25Forks — 370 forks
9/15Watchers — 43 watchers
Inputs used
forks370
stars2,761
watchers43
growth_stateorganic
growth_factor_pct100

Community health

100Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (BSD-3-Clause)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
7.2/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
has_contributingyes
has_issue_templateyes
has_code_of_conductyes
has_pull_request_templateyes

Sustainability & Governance

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

78Good · 24% of overall
How it's scored
43.2/54Bus factor — 4 contributor(s) cover half of all commits
16.2/22.5Commit distribution — top contributor authored 28% of commits
13.5/13.5Contributor breadth — 99 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor4
contributors_sampled99
top_contributor_share0.28
How it's scored
30.3/46.8Issue resolution — 65% of issues closed
29.8/38.3PR acceptance — 268/344 decided PRs merged
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs268
open_issues105
closed_issues194
issue_closed_ratio0.649
closed_unmerged_prs76
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
24.1/25Owner reach — 2,270 followers of jazzband
25/25Track record — 76 public repos, account ~10 yr old
Inputs used
followers2,270
owner_typeOrganization
is_verified
owner_loginjazzband
public_repos76
account_age_days3,933
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
14/35Publish recency — latest publish 685 days ago
20/20Version history — 43 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesdjango-model-utils
ecosystemspypi
any_deprecatedno
min_days_since_publish685

Engineering Quality

Are baseline engineering and documentation practices in place?

96Excellent · 20% of overall
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — tox.ini
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://django-model-utils.readthedocs.io
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics
has_wikiyes
homepagehttps://django-model-utils.readthedocs.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

21Critical · 16% of overall
How it's scored
0/30Security policy (SECURITY.md)
0/25Dependabot config
0/25Dependency lockfiles — published library — lockfiles are an application concern, not expected
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfiles
manifestsrequirements-mypy.txt, requirements-test.txt, requirements.txt, setup.cfg, setup.py
has_codeql_workflowno
has_security_policyno
has_dependabot_configno
Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.
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_packages3
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:django-model-utils@5.0.0 runtime dependency closure — what installing the published package pulls in — 3 packages. Reachability is not analyzed.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score.

63Moderate · 0% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
29.4/40Legible commit history — 53 of 96 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
legible_history_share0.552
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrap — Makefile, docs/Makefile
22/22Automated tests
11/11Lint / format config — tox.ini
11/11Static type checking — model_utils/py.typed, mypy.ini
10/10Reproducible environment — Dockerfile
2/10Demonstrated agent practice — 1 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile, docs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configsmodel_utils/py.typed, mypy.ini
agent_commit_share0.01
toolchain_manifests
dependency_bot_commit_share0
How it's scored
27/45Type-checkable code — Python with type-check config (model_utils/py.typed, mypy.ini)
55/55Manageable file sizes — 0/36 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes38,202
source_files_sampled36
oversized_source_files0

Key facts

2,761GitHub stars
99contributors
10commits, last 12 months
8days since last push
11releases
4bus factor
105open issues
PyPIpackage ecosystems

Data collection warnings

  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

More detail

Star and fork history 2,761 ★ / 370 ⇿
2,761Stars
370Forks
11Releases

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.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

05001,0001,5002,0002,5003,0002,761361182010-092018-082026-07
Major 2Minor 4Patch 4

Each point covers 15 days.

All dependencies 12

Full resolved dependency set from the GitHub dependency graph: 0 direct and 12 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIdjangoindirect
PyPIdjango-stubs5.1.3indirect
PyPImypyindirect
PyPIpsycopgindirect
PyPIpsycopg2-binaryindirect
PyPIpytestindirect
PyPIpytest-cov4.1.0indirect
PyPIpytest-djangoindirect
PyPIsphinxindirect
PyPItime-machineindirect
PyPItoxindirect
PyPItwineindirect
Dependency advisories 0

Installing pypi:django-model-utils@5.0.0 pulls in 3 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
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          "body": "…cked model with a ForeignKey (#620)\n\n* Fixed an infinite recursion bug when deleting a model, that has a reverse relationship to a tracked model with SET_NULL on_delete\n\n---------\n\nCo-authored-by: Napat Ch <napat@thevcgroup.com>",
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          "is_bot": false,
          "headline": "Tell coverage tool to ignore lines intended for mypy only",
          "author_name": "Maarten ter Huurne",
          "author_login": "mthuurne",
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          "headline": "Suppress mypy errors in field tracker tests",
          "author_name": "Maarten ter Huurne",
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          "author_name": "Maarten ter Huurne",
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          "body": "This required a bit of refactoring to get the type of `STATUS` correct\nfor each suite.\n\nThere are two cases which I decided not to support in the type system:\n- passing a list instead of a tuple when defining an option group\n- `in` checks using a data type that doesn't match the choices",
          "is_bot": false,
          "headline": "Annotate the `test_choices` module",
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          "headline": "Add minimal annotations to unit tests",
          "author_name": "Maarten ter Huurne",
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          "headline": "Annotate the `choices` module",
          "author_name": "Maarten ter Huurne",
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          "headline": "Require full annotation in mypy configuration",
          "author_name": "Maarten ter Huurne",
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          "committed_at": "2024-06-13T10:02:05Z",
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          "body": "This allows using the latest annotation syntax supported by the type\nchecker regardless of the runtime Python version.",
          "is_bot": false,
          "headline": "Enable postponed evaluation of annotations for all source modules",
          "author_name": "Maarten ter Huurne",
          "author_login": "mthuurne",
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          "is_bot": false,
          "headline": "Upgrade mypy and django-stubs",
          "author_name": "Maarten ter Huurne",
          "author_login": "mthuurne",
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        {
          "oid": "db9336031e3b8fe30924dbcd8034ca5396e6a871",
          "body": "We can call the inherited public method using `super()` instead of\ncalling the private method directly.",
          "is_bot": false,
          "headline": "Call `Field.get_default()` instead of `_get_default()`",
          "author_name": "Maarten ter Huurne",
          "author_login": "mthuurne",
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          "headline": "Do not assume that default manager is named `objects` in `join()`",
          "author_name": "Maarten ter Huurne",
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          "body": "Remove catching of `AttributeError` in `DescriptorWrapper`",
          "is_bot": false,
          "headline": "Merge pull request #624 from ProtixIT/DescriptorWrapper-no-catch",
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          "author_login": "foarsitter",
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          "body": "Remove support for assigning `None` to a `SplitField`",
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          "headline": "Merge pull request #614 from ProtixIT/splitfield-notnone",
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          "body": "This catch was introduced in #367, but subsequent discussion\nin #370, #381 and #382 suggests that it wasn't the proper solution.\n\nNow that `AbstractModelTrackerTests` is re-enabled and passing,\nit becomes clear that `AttributeError` is no longer raised during\nunit testing when using a recent Django version. Therefore I think\nit is safe to remove the `try`/`except`.",
          "is_bot": false,
          "headline": "Remove catching of `AttributeError` in `DescriptorWrapper`",
          "author_name": "Maarten ter Huurne",
          "author_login": "mthuurne",
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          "body": "There used to be a [bug in Django](https://code.djangoproject.com/ticket/30427)\nthat caused these tests to fail, according to the discussion of #370.\nThat bug was fixed in Django 4.0.\n\nHowever, because the test model was using a `FieldTracker`\nrather than a `ModelTracker`, all model-specific test cases\nin `ModelTrackerTests` continued to fail.",
          "is_bot": false,
          "headline": "Fix and re-enable `AbstractModelTrackerTests`",
          "author_name": "Maarten ter Huurne",
          "author_login": "mthuurne",
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          "body": "Update README.rst",
          "is_bot": false,
          "headline": "Merge pull request #617 from jazzband/readme-update",
          "author_name": "Jelmer",
          "author_login": "foarsitter",
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          "body": "Deprecate `JoinManager` and `JoinManagerMixin`",
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          "headline": "Merge pull request #615 from ProtixIT/deprecate-joinmanager",
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          "body": null,
          "is_bot": false,
          "headline": "Updated changelog to include 4.5.1 & 4.5.0",
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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 v1.13.0, schema v0.26.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statisticsPyPI.