Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-18 05:40 UTC

jowilf / starlette-admin

Fast, beautiful and extensible administrative interface framework for FastApi & Starlette applications

PythonMIT★ 1,033 stars⑂ 95 forkssince Aug 2022View on GitHub ↗
KindLibraryNetwork serviceWeb interfacehow this is determined

jowilf/starlette-admin holds a health index of 91 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (96/100) and lowest on AI Readiness (53/100). It was last updated 3 days ago. A single contributor accounts for most of its recent work.

91
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.

91
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 77 is calibrated to 91 on the published index scale (record calibration 2026-08-02).

Ownership

Jocelin HounonPersonal account
46 followers39 public repossince Sep 2017

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

Package ecosystems

Metrics by category

Vitality

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

85Excellent · 21% of overall
How it's scored
36/36Push recency — last push 3 days ago
11.1/36Commit cadence — 16/52 weeks with commits
18/18Commit volume — 128 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 23 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year128
human_commit_share0.95
days_since_last_push3
active_weeks_last_year16

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 66 releases published
36/36Release recency — latest release 24 days ago
27/27Release cadence — a release every ~8.8 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count66
latest_release_tag1.0.1
releases_from_tagsno
days_since_latest_release24
mean_days_between_releases8.8
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?

80Excellent · 17% of overall
How it's scored
48.9/60Stars — 1,033 stars
16.4/25Forks — 95 forks
6/15Watchers — 13 watchers
Inputs used
forks95
stars1,033
watchers13
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

85Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
13.5/13.5Code 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_conductyes
readme_badge_servicesbadge.fury.io, codecov.io, github.com, shields.io
has_pull_request_templateno
How it's scored
71.1/80Monthly downloads — 216,458 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesstarlette-admin
dependents—
ecosystemspypi
total_downloads—
monthly_downloads216,458
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?

61Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
2/22.5Commit distribution — top contributor authored 91% of commits
13.5/13.5Contributor breadth — 31 contributors
10/10OpenSSF Scorecard: Contributors — project has 10 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled31
top_contributor_share0.911
How it's scored
42/42Issue resolution — 100% of issues closed
17.3/30PR acceptance — 279/484 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/10 approved changesets -- score normalized to 0
Inputs used
merged_prs279
open_issues0
closed_issues253
prs_merged_7d0
prs_decided_7d0
prs_merged_30d4
prs_decided_30d5
issue_closed_ratio1
closed_unmerged_prs205
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 backing — personal (user) account
0/20Verified domain — not applicable to user accounts
12/25Owner reach — 46 followers of jowilf
23.7/25Track record — 39 public repos, account ~9 yr old
Inputs used
followers46
owner_typeUser
is_verified—
owner_loginjowilf
public_repos39
account_age_days3,298
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 24 days ago
20/20Version history — 88 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesstarlette-admin
ecosystemspypi
any_deprecatedno
min_days_since_publish24

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall
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 — 12 out of 12 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

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://jowilf.github.io/starlette-admin/
10/10Repository description
10/10Topics — 7 topics
10/10Wiki
Inputs used
topicsfastapi, mongoengine, sqlalchemy, starlette, admin, admin-dashboard, datatables
has_wikiyes
homepagehttps://jowilf.github.io/starlette-admin/
docs_sitehttps://jowilf.github.io/starlette-admin/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

70Good · 16% of overall
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 — 12 out of 12 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 0/10 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 10 contributing companies or organizations
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
7.5/7.5Maintained — 30 commit(s) and 23 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
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
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate6.2
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, Signed-Releases. 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_packages8
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:starlette-admin@1.0.1 runtime dependency closure — what installing the published package pulls in — 8 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.

53Moderate · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
5.6/40Legible commit history — 10 of 95 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.105
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
18/18One-command bootstrap — plugins/cookiecutter-starlette-admin-plugin/{{cookiecutter.distribution_name}}/Makefile, themes/cookiecutter-starlette-admin-theme/{{cookiecutter.distribution_name}}/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — starlette_admin/py.typed
10/10Reproducible environment — lockfile
2/10Demonstrated agent practice — 1 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 4 of the last 100 commits are automated dependency updates
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_filesplugins/cookiecutter-starlette-admin-plugin/{{cookiecutter.distribution_name}}/Makefile, themes/cookiecutter-starlette-admin-theme/{{cookiecutter.distribution_name}}/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configsstarlette_admin/py.typed
agent_commit_share0.01
toolchain_manifests—
dependency_bot_commit_share0.04
How it's scored
27/45Type-checkable code — Python with type-check config (starlette_admin/py.typed)
54.4/55Manageable file sizes — 4/340 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes132,627
source_files_sampled340
oversized_source_files4
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
0/20MCP server
40/40Runnable examples — example, examples
Inputs used
example_dirsexample, examples
has_mcp_signalno
api_schema_files—
interfaces_expected_ofnetwork-service

Key facts

1,033GitHub stars
31contributors
128commits, last 12 months
3days since last push
66releases
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 ★ / 95 ⇿
0Stars
95Forks
59Releases

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.

0204060801009442022-112024-102026-08
Major 1Minor 14Patch 21

Each point covers 4 days.

OpenSSF Scorecard 6.2 / 10
6.2aggregate

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 · 2026-09-18 05:40 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-Tests12 out of 12 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 0/10 approved changesets -- score normalized to 0
10Contributorsproject has 10 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 23 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 4
RegistryPackageVersion constraintManifest
PyPIitsdangerous>=2.2.0, <2.3.0pyproject.toml
PyPIjinja2>=3.0.0, <4.0.0pyproject.toml
PyPIpython-multipart>=0.0.18pyproject.toml
PyPIstarlette>=0.40.0pyproject.toml
All dependencies 240

Full resolved dependency set from the GitHub dependency graph: 6 direct and 234 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIitsdangerous—direct
PyPIitsdangerous2.2.0direct
PyPIjinja2—direct
PyPIjinja23.1.6direct
PyPIpython-multipart0.0.32direct
PyPIstarlette1.3.1direct
PyPI01-quickstart0.1.0indirect
PyPI01-soft-delete0.1.0indirect
PyPI02-filters0.1.0indirect
PyPI02-oauth20.1.0indirect
PyPI03-auth0.1.0indirect
PyPI03-custom-backend0.1.0indirect
PyPI04-filestorage0.1.0indirect
PyPI04-user-registration0.1.0indirect
PyPI05-custom-fields0.1.0indirect
PyPI05-events0.1.0indirect
PyPI06-ecommerce0.1.0indirect
PyPI06-inline-forms0.1.0indirect
PyPI07-dashboard0.1.0indirect
PyPI07-hr0.1.0indirect
PyPI08-themes0.1.0indirect
PyPI09-actions0.1.0indirect
PyPI10-i18n-timezone0.1.0indirect
PyPI11-sqla-pydantic-fastapi0.1.0indirect
PyPI12-sqla-composite-pks0.1.0indirect
PyPI13-sqlachemy-file0.1.0indirect
PyPI14-sqlmodel0.1.0indirect
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PyPIaiomysql—indirect
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PyPIaiosqlite—indirect
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PyPIarrow—indirect
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PyPIasyncpg—indirect
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PyPIauthlib—indirect
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PyPIbeanie—indirect
PyPIbeanie2.1.0indirect
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PyPIcolour—indirect
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PyPIfaker—indirect
PyPIfaker40.28.1indirect
PyPIfastapi—indirect
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PyPIfastapi-cli0.0.29indirect
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PyPIfasteners—indirect
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PyPIhttpcore22.12.0indirect
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PyPIhttpx—indirect
PyPIhttpx0.28.1indirect
PyPIhttpx2—indirect
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PyPIhttpx2-jsfetch1.0indirect
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PyPIiso86012.1.0indirect
PyPIjmespath1.1.0indirect
PyPIjoserfc1.7.3indirect
PyPIjsbeautifier2.0.3indirect
PyPIjson50.15.0indirect
PyPIjsonpath-python1.1.6indirect
PyPIlazy-model0.4.0indirect
PyPImarkdown—indirect
PyPImarkdown3.10.2indirect
PyPImarkdown-it-py4.2.0indirect
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PyPImkdocs-get-deps0.2.2indirect
PyPImkdocstrings—indirect
PyPImkdocstrings1.0.5indirect
PyPImkdocstrings-python2.0.5indirect
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PyPIopenrouter1.1.74indirect
PyPIpackaging26.2indirect
PyPIpandas3.0.3indirect
PyPIpasslib—indirect
PyPIpasslib1.7.4indirect
PyPIpastel0.2.1indirect
PyPIpathspec1.1.1indirect
PyPIphonenumbers—indirect
PyPIphonenumbers9.0.34indirect
PyPIpillow—indirect
PyPIpillow12.3.0indirect
PyPIplatformdirs4.10.0indirect
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PyPIpre-commit—indirect
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PyPIpsycopg2-binary—indirect
PyPIpsycopg2-binary2.9.12indirect
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PyPIpydantic—indirect
PyPIpydantic2.12.5indirect
PyPIpydantic-core2.41.5indirect
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PyPIpydantic-settings2.14.2indirect
PyPIpyee13.0.1indirect
PyPIpygments2.20.0indirect
PyPIpymdown-extensions11.0.1indirect
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PyPIpymysql—indirect
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PyPIpytest—indirect
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PyPIpytest-asyncio—indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-base-url2.1.0indirect
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PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.4.4indirect
PyPIpython-dotenv1.2.2indirect
PyPIpython-slugify8.0.4indirect
PyPIpywin32312indirect
PyPIpyyaml6.0.3indirect
PyPIpyyaml-env-tag1.1indirect
PyPIregex2026.7.10indirect
PyPIreportlab5.0.0indirect
PyPIrequests2.34.2indirect
PyPIrich15.0.0indirect
PyPIrich-toolkit0.20.3indirect
PyPIrignore0.7.6indirect
PyPIruff0.15.16indirect
PyPIruff0.15.21indirect
PyPIs3transfer0.17.1indirect
PyPIsentry-sdk2.65.0indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsqlalchemy—indirect
PyPIsqlalchemy2.0.51indirect
PyPIsqlalchemy-file—indirect
PyPIsqlalchemy-file0.6.0indirect
PyPIsqlalchemy-utils—indirect
PyPIsqlalchemy-utils0.42.1indirect
PyPIsqlmodel—indirect
PyPIsqlmodel0.0.39indirect
PyPIstarlette-admin—indirect
PyPIstructlog—indirect
PyPIstructlog26.1.0indirect
PyPItablib—indirect
PyPItablib3.10.0indirect
PyPItabulate0.10.0indirect
PyPItestcontainers4.14.2indirect
PyPItext-unidecode1.3indirect
PyPItinydb—indirect
PyPItinydb4.9.0indirect
PyPItomli2.4.1indirect
PyPItortoise-orm—indirect
PyPItortoise-orm1.1.7indirect
PyPItruststore0.10.4indirect
PyPIty0.0.62indirect
PyPItyper0.26.8indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.3indirect
PyPIurllib32.7.0indirect
PyPIuvicorn—indirect
PyPIuvicorn0.52.3indirect
PyPIuvloop0.22.1indirect
PyPIvirtualenv21.6.1indirect
PyPIwatchdog6.0.0indirect
PyPIwatchfiles1.2.0indirect
PyPIwebsockets16.1indirect
PyPIwrapt2.2.2indirect
PyPIxlrd2.0.2indirect
PyPIxlwt1.3.0indirect
PyPIyarl1.24.2indirect
PyPIzensical—indirect
PyPIzensical0.0.50indirect
Dependency advisories 0

Installing pypi:starlette-admin@1.0.1 pulls in 8 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 v0.34.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.