Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-13 02:55 UTC

timonweb / django-tailwind

Django + Tailwind CSS = 💚

PythonMIT★ 1,751 stars⑂ 110 forkssince Apr 2019View on GitHub ↗
KindLibraryNetwork servicehow this is determined

timonweb/django-tailwind holds a health index of 78 out of 100, placing it in the Good band. It scores highest on Engineering Quality (89/100) and lowest on Security (54/100). It was last updated 61 days ago. A single contributor accounts for most of its recent work.

78
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.

78
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 67 is calibrated to 78 on the published index scale (record calibration 2026-08-02).

Ownership

TimurPersonal account
277 followers59 public repossince Nov 2010timonweb.com

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
PyPIdjango-tailwind4.5.0-5361 days agocssdjangotailwind

Metrics by category

Vitality

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

58Moderate · 21% of overall
How it's scored
18/36Push recencylast push 61 days ago
6.2/36Commit cadence9/52 weeks with commits
15.8/18Commit volume56 commits in the last year
3/10OpenSSF Scorecard: Maintained4 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 3
Inputs used
commits_last_year56
human_commit_share0.94
days_since_last_push61
active_weeks_last_year9
How it's scored
16.2/27Ships releases41 version tags (no GitHub releases)
36/36Release recencylatest release 61 days ago
19.8/27Release cadencea release every ~48.4 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count41
latest_release_tag4.5.0
releases_from_tagsyes
days_since_latest_release61
mean_days_between_releases48.4
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?

73Good · 17% of overall
How it's scored
52.6/60Stars1,751 stars
17/25Forks110 forks
6.8/15Watchers18 watchers
Inputs used
forks110
stars1,751
watchers18
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges4
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateno

Sustainability & Governance

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

62Moderate · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
1.8/22.5Commit distributiontop contributor authored 92% of commits
13.5/13.5Contributor breadth23 contributors
3/10OpenSSF Scorecard: Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled23
top_contributor_share0.921
How it's scored
42/42Issue resolution100% of issues closed
16.4/30PR acceptance41/75 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
3/15OpenSSF Scorecard: Code-ReviewFound 4/18 approved changesets -- score normalized to 2
Inputs used
merged_prs41
open_issues0
closed_issues178
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio1
closed_unmerged_prs34
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.
How it's scored
10/30Ownership backingpersonal (user) account
0/20Verified domainnot applicable to user accounts
17.6/25Owner reach277 followers of timonweb
24.9/25Track record59 public repos, account ~15 yr old
Inputs used
followers277
owner_typeUser
is_verified
owner_logintimonweb
public_repos59
account_age_days5,748
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 61 days ago
20/20Version history53 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesdjango-tailwind
ecosystemspypi
any_deprecatedno
min_days_since_publish61

Engineering Quality

Are baseline engineering and documentation practices in place?

89Excellent · 19% of overall
How it's scored
24/24CI workflows1 workflow(s)
24/24Tests present
16/16Linter configtox.ini
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
14/20OpenSSF Scorecard: CI-Tests5 out of 7 merged PRs checked by a CI test -- score normalized to 7
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 sitehttps://django-tailwind.readthedocs.io
10/10Repository description
10/10Topics7 topics
0/10Wiki
Inputs used
topicstailwind-css, django-tailwind, css, tailwind, django, tailwindcss, tailwindcss-v4
has_wikino
homepagehttps://django-tailwind.readthedocs.io
docs_sitehttps://django-tailwind.readthedocs.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

54Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
2.2/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
1.8/2.5CI-Tests5 out of 7 merged PRs checked by a CI test -- score normalized to 7
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1.5/7.5Code-ReviewFound 4/18 approved changesets -- score normalized to 2
0.8/2.5Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
2.2/7.5Maintained4 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 3
5/5Packagingpackaging workflow detected
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0/5SASTSAST tool is not run on all commits -- score normalized to 0
0/5Security-Policysecurity policy file not detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities10 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4.2
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 advisoriesno direct dependency carries a known advisory
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages4
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-tailwind@4.5.0 runtime dependency closure — what installing the published package pulls in — 4 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.

57Moderate · 4% of overall
How it's scored
45/45Agent instructionsCLAUDE.md
0/15Machine-readable docs (llms.txt)
7.4/40Legible commit history13 of 94 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.138
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes7,944
How it's scored
18/18One-command bootstrapMakefile
22/22Automated tests
11/11Lint / format configtox.ini
0/11Static type checking
10/10Reproducible environmentlockfile
0/10Demonstrated agent practiceno agent-authored commits among the last 100
8/8Automated maintenance1 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency 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_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0.01
How it's scored
0/45Type-checkable codePython without a type-check config
55/55Manageable file sizes0/41 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes16,729
source_files_sampled41
oversized_source_files0
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
0/20MCP server
40/40Runnable examplesexample
Inputs used
example_dirsexample
has_mcp_signalno
api_schema_files
interfaces_expected_ofnetwork-service

Key facts

1,751GitHub stars
23contributors
56commits, last 12 months
61days since last push
41releases
1bus factor
0open 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 ★ / 110 ⇿
0Stars
110Forks
35Releases

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.

02040608010012010832019-122023-042026-08
Major 3Minor 20Patch 12

Each point covers 7 days.

OpenSSF Scorecard 4.2 / 10
4.2aggregate

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 · 2026-08-13 02:55 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
7CI-Tests5 out of 7 merged PRs checked by a CI test -- score normalized to 7
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
2Code-ReviewFound 4/18 approved changesets -- score normalized to 2
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
3Maintained4 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 3
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
0Vulnerabilities10 existing vulnerabilities detected
Direct dependencies 2
RegistryPackageVersion constraintManifest
PyPIdjango>=4.2.20pyproject.toml
PyPIpytailwindcss>=0.3.0pyproject.toml
All dependencies 89

Full resolved dependency set from the GitHub dependency graph: 3 direct and 86 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIdjangodirect
PyPIdjango4.2.30direct
PyPIpytailwindcss0.3.0direct
npm@tailwindcss/aspect-ratio^0.4.2indirect
npm@tailwindcss/forms^0.5.11indirect
npm@tailwindcss/postcss^4.1.11indirect
npm@tailwindcss/postcss^4.3.0indirect
npm@tailwindcss/typography^0.5.20indirect
npmcross-env^10.1.0indirect
npmcross-env^7.0.3indirect
npmdaisyui^5.5.23indirect
npmpostcss^8.5.15indirect
npmpostcss^8.5.6indirect
npmpostcss-cli^11.0.1indirect
npmpostcss-import^16.1.1indirect
npmpostcss-nested^7.0.2indirect
npmpostcss-simple-vars^7.0.1indirect
npmrimraf^6.0.1indirect
npmrimraf^6.1.3indirect
npmtailwindcss^3.4.17indirect
npmtailwindcss^4.1.11indirect
npmtailwindcss^4.3.0indirect
PyPIalabaster1.0.0indirect
PyPIarrow1.4.0indirect
PyPIasgiref3.11.1indirect
PyPIbabel2.18.0indirect
PyPIbinaryornot0.6.0indirect
PyPIcachetools7.1.4indirect
PyPIcertifi2026.5.20indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.7indirect
PyPIclick8.4.1indirect
PyPIcolorama0.4.6indirect
PyPIcookiecutter2.7.1indirect
PyPIdistlib0.4.3indirect
PyPIdjango-browser-reload1.21.0indirect
PyPIdjango-tailwindindirect
PyPIdjango-tailwind4.5.0indirect
PyPIdocutils0.22.4indirect
PyPIfilelock3.29.3indirect
PyPIhatchlingindirect
PyPIhoncho2.0.0indirect
PyPIidentify2.6.19indirect
PyPIidna3.18indirect
PyPIimagesize2.0.0indirect
PyPIiniconfig2.3.0indirect
PyPIjinja23.1.6indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.3indirect
PyPImdit-py-plugins0.6.1indirect
PyPImdurl0.1.2indirect
PyPImyst-parserindirect
PyPImyst-parser5.1.0indirect
PyPInodeenv1.10.0indirect
PyPIpackaging26.2indirect
PyPIplatformdirs4.10.0indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.6.0indirect
PyPIpygments2.20.0indirect
PyPIpyproject-api1.10.1indirect
PyPIpytest9.0.3indirect
PyPIpytest-django4.12.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.4.2indirect
PyPIpython-slugify8.0.4indirect
PyPIpyyaml6.0.3indirect
PyPIrequests2.34.2indirect
PyPIrich15.0.0indirect
PyPIroman-numerals4.1.0indirect
PyPIsix1.17.0indirect
PyPIsnowballstemmer3.1.1indirect
PyPIsphinxindirect
PyPIsphinx9.0.4indirect
PyPIsphinx-rtd-themeindirect
PyPIsphinx-rtd-theme3.1.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jquery4.1indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIsqlparse0.5.5indirect
PyPItext-unidecode1.3indirect
PyPItomli-w1.2.0indirect
PyPItox4.55.1indirect
PyPItzdata2026.2indirect
PyPIurllib32.7.0indirect
PyPIvirtualenv21.4.3indirect
Dependency advisories 0

Installing pypi:django-tailwind@4.5.0 pulls in 4 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.

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 v0.31.0 — full methodology · metrics wiki.

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