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

fabiocaccamo / django-admin-interface

:superhero: :zap: django's default admin interface with superpowers - customizable themes, popup windows replaced by modals and many other features.

Python · CSS · JavaScriptMIT★ 2,036 stars⑂ 204 forkssince Oct 2015View on GitHub ↗

fabiocaccamo/django-admin-interface holds a health index of 84 out of 100, placing it in the Excellent band. It scores highest on Community & Adoption (80/100) and lowest on AI Readiness (38/100). It was last updated 2 days ago. A single contributor accounts for most of its recent work.

84
overall / 100
Excellent

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.

84
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 71 is calibrated to 84 on the published index scale (record calibration 2026-08-02).

Ownership

Fabio CaccamoPersonal account
583 followers37 public repossince Sep 2011

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-admin-interface0.32.0258,199128237 days agodjangoadmininterfaceresponsiveflatthemecustomui

Metrics by category

Vitality

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

68Good · 21% of overall
How it's scored
36/36Push recencylast push 2 days ago
8.3/36Commit cadence12/52 weeks with commits
15.3/18Commit volume50 commits in the last year
0/10OpenSSF Scorecard: Maintainedno data
Inputs used
commits_last_year50
human_commit_share0.9
days_since_last_push2
active_weeks_last_year12
How it's scored
27/27Ships releases73 releases published
16.2/36Release recencylatest release 237 days ago
19.8/27Release cadencea release every ~47.5 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count73
latest_release_tag0.32.0
releases_from_tagsno
days_since_latest_release237
mean_days_between_releases47.5

Community & Adoption

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

80Excellent · 17% of overall
How it's scored
53.7/60Stars2,036 stars
19.2/25Forks204 forks
8/15Watchers29 watchers
Inputs used
forks204
stars2,036
watchers29
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT)
0/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges11
has_contributingno
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesapi.securityscorecards.dev, shields.io
has_pull_request_templateyes
How it's scored
72.2/80Monthly downloads258,199 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesdjango-admin-interface
dependents
ecosystemspypi
total_downloads
monthly_downloads258,199
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?

64Moderate · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
1.4/22.5Commit distributiontop contributor authored 94% of commits
13.5/13.5Contributor breadth36 contributors
0/10OpenSSF Scorecard: Contributorsno data
Inputs used
bus_factor1
contributors_sampled36
top_contributor_share0.939
How it's scored
39.9/42Issue resolution95% of issues closed
20/30PR acceptance161/241 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Reviewno data
Inputs used
merged_prs161
open_issues11
closed_issues211
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.95
closed_unmerged_prs80
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
19.9/25Owner reach583 followers of fabiocaccamo
23.5/25Track record37 public repos, account ~14 yr old
Inputs used
followers583
owner_typeUser
is_verified
owner_loginfabiocaccamo
public_repos37
account_age_days5,452
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
How it's scored
25/25Published & resolvable1 package(s) on pypi
26/35Publish recencylatest publish 237 days ago
20/20Version history128 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesdjango-admin-interface
ecosystemspypi
any_deprecatedno
min_days_since_publish237

Engineering Quality

Are baseline engineering and documentation practices in place?

75Good · 19% of overall
How it's scored
24/24CI workflows4 workflow(s)
24/24Tests present
16/16Linter configtox.ini
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Testsno data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

50Moderate
How it's scored
30/30README
0/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics20 topics
0/10Wiki
Inputs used
topicsdjango, python, admin, custom, customizable, interface, theme, responsive, flat, logo, colors, settings, popup, modal, window, windows, modals, enviroment, enviroments, ui
has_wikino
homepage
docs_site
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

78Good · 16% of overall
How it's scored
30/30Security policy (SECURITY.md)
25/25Dependabot config
0/25Dependency lockfilespublished library — lockfiles are an application concern, not expected
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfiles
manifestspyproject.toml, requirements-test.txt, requirements.txt, setup.py
has_codeql_workflowno
has_security_policyyes
has_dependabot_configyes
Excluded from scoring (no data or not applicable): Dependency lockfiles. 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-admin-interface@0.32.0 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.

38Weak · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
9.5/40Legible commit history16 of 90 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.178
agent_instruction_files
agent_instruction_max_bytes
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format configtox.ini
0/11Static type checking
0/10Reproducible environment
8/10Demonstrated agent practice4 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance8 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependenciesno data
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0.04
toolchain_manifests
dependency_bot_commit_share0.08
How it's scored
0/45Type-checkable codePython without a type-check config
54.2/55Manageable file sizes1/72 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes60,830
source_files_sampled72
oversized_source_files1

Key facts

2,036GitHub stars
36contributors
50commits, last 12 months
2days since last push
73releases
1bus factor
11open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

More detail

Star and fork history 0 ★ / 204 ⇿
0Stars
204Forks
73Releases

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.

0408012016020018642016-022021-052026-08
Major 0Minor 21Patch 52

Each point covers 10 days.

Direct dependencies 1
RegistryPackageVersion constraintManifest
PyPIdjango-colorfield>= 0.8.0, < 1.0.0pyproject.toml
All dependencies 7

Full resolved dependency set from the GitHub dependency graph: 2 direct and 5 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIdjango-colorfielddirect
PyPIdjango-colorfield0.14.0direct
PyPIcoverage7.13.*indirect
PyPIdjangoindirect
PyPIpre-commit4.5.*indirect
PyPIpsycopg2-binary2.9.*indirect
PyPItox4.53.*indirect
Dependency advisories 0

Installing pypi:django-admin-interface@0.32.0 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.