Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-17 17:16 UTC

pallets-eco / flask-admin

Simple and extensible administrative interface framework for Flask

PythonBSD-3-Clause★ 6,068 stars⑂ 1,644 forkssince Mar 2012View on GitHub ↗
KindLibraryNetwork servicehow this is determined

pallets-eco/flask-admin holds a health index of 96 out of 100, placing it in the Exceptional band. It scores highest on Community & Adoption (96/100) and lowest on AI Readiness (57/100). It was last updated 9 days ago. 2 contributors account for most of its recent work.

96
overall / 100
Exceptional

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.

96
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 83 is calibrated to 96 on the published index scale (record calibration 2026-08-02).

Ownership

Pallets EcosystemOrganization · verified domain
353 followers38 public repossince May 2021

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIFlask-Admin2.2.02,655,72452133 days ago

Metrics by category

Vitality

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

80Excellent · 21% of overall

Development activity

84Excellent
How it's scored
28.8/36Push recency — last push 9 days ago
27/36Commit cadence — 39/52 weeks with commits
18/18Commit volume — 238 commits in the last year
10/10OpenSSF Scorecard: Maintained — 17 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year238
human_commit_share0.47
days_since_last_push9
active_weeks_last_year39

Release discipline

74Good
How it's scored
27/27Ships releases — 30 releases published
27/36Release recency — latest release 133 days ago
19.8/27Release cadence — a release every ~58.9 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count30
latest_release_tagv2.2.0
releases_from_tagsno
days_since_latest_release133
mean_days_between_releases58.9

Community & Adoption

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

96Exceptional · 17% of overall

Popularity & adoption

97Exceptional
How it's scored
60/60Stars — 6,068 stars
25/25Forks — 1,644 forks
12/15Watchers — 148 watchers
Inputs used
forks1,644
stars6,068
watchers148
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
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
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges1
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesgithub.com
has_pull_request_templateyes

Ecosystem adoption (downloads)

100Exceptional
How it's scored
80/80Monthly downloads — 2,655,724 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesFlask-Admin
dependents—
ecosystemspypi
total_downloads—
monthly_downloads2,655,724
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?

81Excellent · 23% of overall

Maintainer resilience (bus factor)

62Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
13.7/22.5Commit distribution — top contributor authored 39% of commits
13.5/13.5Contributor breadth — 99 contributors
10/10OpenSSF Scorecard: Contributors — project has 62 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled99
top_contributor_share0.393

Issue & PR responsiveness

81Excellent
How it's scored
39.6/42Issue resolution — 94% of issues closed
23.2/30PR acceptance — 1,071/1,386 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
7.5/15OpenSSF Scorecard: Code-Review — Found 10/19 approved changesets -- score normalized to 5
Inputs used
merged_prs1,071
open_issues84
closed_issues1,426
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.944
closed_unmerged_prs315
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.

Ownership & stewardship

90Excellent
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
18.3/25Owner reach — 353 followers of pallets-eco
22.2/25Track record — 38 public repos, account ~5 yr old
Inputs used
followers353
owner_typeOrganization
is_verifiedyes
owner_loginpallets-eco
public_repos38
account_age_days1,940

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 133 days ago
20/20Version history — 52 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesFlask-Admin
ecosystemspypi
any_deprecatedno
min_days_since_publish133

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall

Engineering practices

100Exceptional
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
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 29 out of 29 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes

Documentation

80Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://flask-admin.readthedocs.io
10/10Repository description
0/10Topics
0/10Wiki
Inputs used
topics—
has_wikino
homepagehttps://flask-admin.readthedocs.io
docs_sitehttps://flask-admin.readthedocs.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

71Good · 16% of overall

Security posture

64Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 29 out of 29 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
3.8/7.5Code-Review — Found 10/19 approved changesets -- score normalized to 5
2.5/2.5Contributors — project has 62 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 — 17 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
4/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
4.5/5Security-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_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate6.4

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:Flask-Admin@2.2.0 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.

57Moderate · 4% of overall

Agent context & guidance

40Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 36 of 47 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.766
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

77Good
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — devcontainer, Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 53 of the last 100 commits are automated dependency updates
8/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile
has_devcontaineryes
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.53

Code legibility for models

54Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
54.1/55Manageable file sizes — 3/179 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes127,930
source_files_sampled179
oversized_source_files3

Machine-readable interfaces

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

Key facts

6,068GitHub stars
99contributors
238commits, last 12 months
9days since last push
30releases
2bus factor
84open 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 ★ / 1,644 ⇿
0Stars
1,644Forks
22Releases

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.

5007501,0001,2501,5001,7501,644122017-112022-042026-09
Major 1Minor 3Patch 10

Each point covers 9 days.

OpenSSF Scorecard 6.4 / 10
6.4aggregate

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 · 2026-09-17 17:16 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests29 out of 29 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
5Code-ReviewFound 10/19 approved changesets -- score normalized to 5
10Contributorsproject has 62 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained17 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
8Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
0SASTSAST tool is not run on all commits -- score normalized to 0
9Security-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 6
RegistryPackageVersion constraintManifest
PyPIflask>=2.0pyproject.toml
PyPIjinja2>=3.0pyproject.toml
PyPImarkupsafe>=2.0pyproject.toml
PyPIwerkzeug>=2.0pyproject.toml
PyPIwtforms>=2.3pyproject.toml
PyPItyping_extensions—pyproject.toml
All dependencies 132

Full resolved dependency set from the GitHub dependency graph: 7 direct and 125 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIflask—direct
PyPIflask3.1.3direct
PyPIjinja23.1.6direct
PyPImarkupsafe3.0.3direct
PyPItyping-extensions4.16.0direct
PyPIwerkzeug3.1.8direct
PyPIwtforms3.2.2direct
PyPIalabaster1.0.0indirect
PyPIarrow1.4.0indirect
PyPIasgiref3.12.1indirect
PyPIast-serialize0.6.0indirect
PyPIasync-timeout5.0.1indirect
PyPIazure-core1.41.0indirect
PyPIazure-storage-blob12.30.0indirect
PyPIbabel2.18.0indirect
PyPIbeautifulsoup44.15.0indirect
PyPIblinker1.9.0indirect
PyPIboto31.43.62indirect
PyPIbotocore1.43.62indirect
PyPIbotocore-stubs1.43.14indirect
PyPIcachetools7.1.7indirect
PyPIcertifi2026.7.22indirect
PyPIcffi2.1.0indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.9indirect
PyPIclick8.4.2indirect
PyPIcolorama0.4.6indirect
PyPIcolour0.1.5indirect
PyPIcoverage7.15.2indirect
PyPIcryptography50.0.0indirect
PyPIdistlib0.4.3indirect
PyPIdnspython2.8.0indirect
PyPIdocutils0.21.2indirect
PyPIdocutils0.22.4indirect
PyPIemail-validator2.3.0indirect
PyPIexceptiongroup1.3.1indirect
PyPIfilelock3.32.2indirect
PyPIflake87.3.0indirect
PyPIflask-admin—indirect
PyPIflask-admin2.2.0indirect
PyPIflask-babel4.0.0indirect
PyPIflask-login—indirect
PyPIflask-security-too—indirect
PyPIflask-sqlalchemy3.1.1indirect
PyPIflask-sqlalchemy-lite0.2.1indirect
PyPIflask-talisman—indirect
PyPIflask-wtf—indirect
PyPIgeoalchemy20.20.0indirect
PyPIgreenlet3.5.4indirect
PyPIidentify2.6.19indirect
PyPIidna3.18indirect
PyPIimagesize2.0.0indirect
PyPIiniconfig2.3.0indirect
PyPIisodate0.7.2indirect
PyPIitsdangerous2.2.0indirect
PyPIjmespath1.1.0indirect
PyPIlibrt0.13.0indirect
PyPImccabe0.7.0indirect
PyPImongoengine0.29.3indirect
PyPImoto5.2.2indirect
PyPImypy2.3.0indirect
PyPImypy-extensions1.1.0indirect
PyPInodeenv1.10.0indirect
PyPInumpy2.2.6indirect
PyPInumpy2.4.6indirect
PyPInumpy2.5.1indirect
PyPIpackaging26.2indirect
PyPIpallets-sphinx-themes2.5.0indirect
PyPIpathspec1.1.1indirect
PyPIpeewee4.3.0indirect
PyPIpillow12.3.0indirect
PyPIplatformdirs4.11.0indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.6.1indirect
PyPIpre-commit-uv4.3.0indirect
PyPIpsycopg2-binary2.9.12indirect
PyPIpycodestyle2.14.0indirect
PyPIpycparser3.0indirect
PyPIpyflakes3.4.0indirect
PyPIpygments2.20.0indirect
PyPIpymongo4.17.0indirect
PyPIpyproject-api1.11.0indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov7.1.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.5.1indirect
PyPIpytz2026.3.post1indirect
PyPIpyyaml6.0.3indirect
PyPIredis8.1.0indirect
PyPIrequests2.34.2indirect
PyPIresponses0.26.2indirect
PyPIroman-numerals4.1.0indirect
PyPIs3transfer0.19.2indirect
PyPIshapely2.1.2indirect
PyPIsix1.17.0indirect
PyPIsnowballstemmer3.1.1indirect
PyPIsoupsieve2.9.1indirect
PyPIsphinx8.1.3indirect
PyPIsphinx9.0.4indirect
PyPIsphinx9.1.0indirect
PyPIsphinx-intl2.3.2indirect
PyPIsphinx-notfound-page1.1.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-log-cabinet1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIsqlalchemy—indirect
PyPIsqlalchemy2.0.51indirect
PyPIsqlalchemy-citext1.8.0indirect
PyPIsqlalchemy-utils0.42.1indirect
PyPItablib3.10.0indirect
PyPItestcontainers—indirect
PyPItomli2.4.1indirect
PyPItomli-w1.2.0indirect
PyPItox4.58.0indirect
PyPItox-uv1.36.0indirect
PyPItox-uv-bare1.36.0indirect
PyPItypes-awscrt0.34.1indirect
PyPItypes-boto31.43.62indirect
PyPItypes-peewee4.3.0.20260802indirect
PyPItypes-s3transfer0.16.0indirect
PyPItypes-shapely2.1.0.20260728indirect
PyPItypes-wtforms3.2.1.20260518indirect
PyPItzdata2026.3indirect
PyPIurllib32.7.0indirect
PyPIuv0.12.1indirect
PyPIvirtualenv21.7.1indirect
PyPIwtf-peewee3.2.1indirect
PyPIxmltodict1.0.4indirect
Dependency advisories 0

Installing pypi:Flask-Admin@2.2.0 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.

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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 v2.10.0, schema v0.34.0 — full methodology · metrics wiki.

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