Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-16 11:01 UTC

pallets / flask

The Python micro framework for building web applications.

PythonBSD-3-Clause★ 74,743 stars⑂ 16,987 forkssince Apr 2010View on GitHub ↗
KindLibraryCommand-line toolhow this is determined

pallets/flask holds a health index of 96 out of 100, placing it in the Exceptional band. It scores highest on Community & Adoption (97/100) and lowest on AI Readiness (63/100). It was last updated 7 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

PalletsOrganization · verified domain
2,556 followers17 public repossince Jan 2016

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIFlask3.1.3150,375,19264209 days ago

Metrics by category

Vitality

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

77Good · 21% of overall
How it's scored
36/36Push recency — last push 7 days ago
18/36Commit cadence — 26/52 weeks with commits
17.7/18Commit volume — 92 commits in the last year
10/10OpenSSF Scorecard: Maintained — 17 commit(s) and 11 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year92
human_commit_share1
days_since_last_push7
active_weeks_last_year26
How it's scored
27/27Ships releases — 38 releases published
16.2/36Release recency — latest release 209 days ago
19.8/27Release cadence — a release every ~113.7 days
6/10OpenSSF Scorecard: Signed-Releases — 3 out of the last 5 releases have a total of 3 signed artifacts.
Inputs used
releases_count38
latest_release_tag3.1.3
releases_from_tagsno
days_since_latest_release209
mean_days_between_releases113.7

Community & Adoption

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

97Exceptional · 17% of overall

Popularity & adoption

100Exceptional
How it's scored
60/60Stars — 74,743 stars
25/25Forks — 16,987 forks
15/15Watchers — 2,115 watchers
Inputs used
forks16,987
stars74,743
watchers2,115
growth_stateorganic
growth_factor_pct100

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_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateyes
How it's scored
80/80Monthly downloads — 150,375,192 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesFlask
dependents—
ecosystemspypi
total_downloads—
monthly_downloads150,375,192
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?

76Good · 23% of overall
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
12.9/22.5Commit distribution — top contributor authored 42% of commits
13.5/13.5Contributor breadth — 97 contributors
10/10OpenSSF Scorecard: Contributors — project has 78 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled97
top_contributor_share0.425
How it's scored
42/42Issue resolution — 100% of issues closed
16.9/30PR acceptance — 1,633/2,906 decided PRs merged
0/13Newcomer PR acceptance — 0/12 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — Found 2/25 approved changesets -- score normalized to 0
Inputs used
merged_prs1,633
open_issues1
closed_issues2,766
prs_merged_7d0
prs_decided_7d6
prs_merged_30d0
prs_decided_30d16
issue_closed_ratio1
closed_unmerged_prs1,273
first_time_authors_30d12
first_time_prs_merged_30d0
first_time_prs_decided_30d12
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
24.5/25Owner reach — 2,556 followers of pallets
21.1/25Track record — 17 public repos, account ~10 yr old
Inputs used
followers2,556
owner_typeOrganization
is_verifiedyes
owner_loginpallets
public_repos17
account_age_days3,894
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
26/35Publish recency — latest publish 209 days ago
20/20Version history — 64 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesFlask
ecosystemspypi
any_deprecatedno
min_days_since_publish209

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

100Exceptional
How it's scored
24/24CI workflows — 5 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 — 4 out of 4 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

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://flask.palletsprojects.com
10/10Repository description
10/10Topics — 7 topics
0/10Wiki
Inputs used
topicspython, flask, wsgi, web-framework, werkzeug, jinja, pallets
has_wikino
homepagehttps://flask.palletsprojects.com
docs_sitehttps://flask.palletsprojects.com
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

75Good · 16% of overall
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 — 4 out of 4 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 2/25 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 78 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
5/5Fuzzing — project is fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 17 commit(s) and 11 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
4.5/7.5Signed-Releases — 3 out of the last 5 releases have a total of 3 signed artifacts.
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
0/7.5Vulnerabilities — 15 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate6.9

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_packages6
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@3.1.3 runtime dependency closure — what installing the published package pulls in — 6 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.

63Moderate · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
12.8/40Legible commit history — 24 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.24
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — src/flask/py.typed
10/10Reproducible environment — devcontainer, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
8/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontaineryes
has_linter_configyes
typecheck_configssrc/flask/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
27/45Type-checkable code — Python with type-check config (src/flask/py.typed)
54.3/55Manageable file sizes — 1/83 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes65,472
source_files_sampled83
oversized_source_files1
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto), MCP server. Remaining weights renormalized.

Key facts

74,743GitHub stars
97contributors
92commits, last 12 months
7days since last push
38releases
2bus factor
1open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Star history carried forward from 2026-07-22: GitHub restricted the stargazers API to repository admins, so it can no longer be collected. The repository has 74743 stars today.
  • First-time contributor figures cover 12 of 16 authors (cap 12)

More detail

Star and fork history 71,999 ★ / 16,987 ⇿
71,999Stars
16,987Forks
2Releases

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.

Star history is shown as collected on 2026-07-22. GitHub restricted the stargazers API to repository administrators in July 2026, so this series can no longer be extended; the current star total above remains live.

025,00050,00075,00071,99916,987512025-062026-012026-09
Major 0Minor 0Patch 2

Each point covers 2 days.

OpenSSF Scorecard 6.9 / 10
6.9aggregate

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 · 2026-09-16 11:00 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests4 out of 4 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 2/25 approved changesets -- score normalized to 0
10Contributorsproject has 78 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
10Fuzzingproject is fuzzed
10Licenselicense file detected
10Maintained17 commit(s) and 11 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
6Signed-Releases3 out of the last 5 releases have a total of 3 signed artifacts.
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
0Vulnerabilities15 existing vulnerabilities detected
Direct dependencies 6
RegistryPackageVersion constraintManifest
PyPIblinker>=1.9.0pyproject.toml
PyPIclick>=8.1.3pyproject.toml
PyPIitsdangerous>=2.2.0pyproject.toml
PyPIjinja2>=3.1.2pyproject.toml
PyPImarkupsafe>=2.1.1pyproject.toml
PyPIwerkzeug>=3.1.0pyproject.toml
All dependencies 109

Full resolved dependency set from the GitHub dependency graph: 12 direct and 97 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIblinker1.6.2direct
PyPIblinker1.9.0direct
PyPIclick8.1.3direct
PyPIclick8.4.2direct
PyPIitsdangerous2.1.2direct
PyPIitsdangerous2.2.0direct
PyPIjinja23.1.2direct
PyPIjinja23.1.6direct
PyPImarkupsafe2.1.2direct
PyPImarkupsafe3.0.3direct
PyPIwerkzeug2.3.3direct
PyPIwerkzeug3.1.8direct
PyPIalabaster1.0.0indirect
PyPIamqp5.1.1indirect
PyPIanyio4.14.2indirect
PyPIasgiref3.12.1indirect
PyPIast-serialize0.6.0indirect
PyPIasync-timeout4.0.2indirect
PyPIbabel2.18.0indirect
PyPIbilliard3.6.4.0indirect
PyPIcachetools7.1.6indirect
PyPIcelery—indirect
PyPIcelery5.2.7indirect
PyPIcertifi2026.7.22indirect
PyPIcffi2.1.0indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.9indirect
PyPIclick-didyoumean0.3.0indirect
PyPIclick-plugins1.1.1indirect
PyPIclick-repl0.2.0indirect
PyPIcolorama0.4.6indirect
PyPIcryptography49.0.0indirect
PyPIdistlib0.4.3indirect
PyPIdocutils0.21.2indirect
PyPIexceptiongroup1.3.1indirect
PyPIfilelock3.32.2indirect
PyPIflask—indirect
PyPIflask2.3.2indirect
PyPIflask3.2.0.dev0indirect
PyPIflit-core—indirect
PyPIgha-update0.2.0indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIidentify2.6.19indirect
PyPIidna3.18indirect
PyPIimagesize2.0.0indirect
PyPIiniconfig2.3.0indirect
PyPIkombu5.2.4indirect
PyPIlibrt0.13.0indirect
PyPImypy2.3.0indirect
PyPImypy-extensions1.1.0indirect
PyPInodeenv1.10.0indirect
PyPIpackaging26.2indirect
PyPIpallets-sphinx-themes2.5.0indirect
PyPIpathspec1.1.1indirect
PyPIplatformdirs4.11.0indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.6.1indirect
PyPIpre-commit-uv4.3.0indirect
PyPIprompt-toolkit3.0.38indirect
PyPIpycparser3.0indirect
PyPIpygments2.20.0indirect
PyPIpyproject-api1.11.0indirect
PyPIpyright1.1.411indirect
PyPIpytest—indirect
PyPIpytest9.1.1indirect
PyPIpython-discovery1.5.0indirect
PyPIpython-dotenv1.2.2indirect
PyPIpytz2023.3indirect
PyPIpyyaml6.0.3indirect
PyPIredis4.5.4indirect
PyPIrequests2.34.2indirect
PyPIroman-numerals4.1.0indirect
PyPIroman-numerals-py4.1.0indirect
PyPIruff0.16.0indirect
PyPIsix1.16.0indirect
PyPIsnowballstemmer3.1.1indirect
PyPIsphinx8.1.3indirect
PyPIsphinx8.2.3indirect
PyPIsphinx-autobuild2024.10.3indirect
PyPIsphinx-autobuild2025.8.25indirect
PyPIsphinx-notfound-page1.1.0indirect
PyPIsphinx-tabs3.5.0indirect
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
PyPIstarlette1.3.1indirect
PyPItomli2.4.1indirect
PyPItomli-w1.2.0indirect
PyPItox4.58.0indirect
PyPItox-uv1.36.0indirect
PyPItox-uv-bare1.36.0indirect
PyPItypes-contextvars2.4.7.3indirect
PyPItypes-dataclasses0.6.6indirect
PyPItyping-extensions4.16.0indirect
PyPIurllib32.7.0indirect
PyPIuv0.12.0indirect
PyPIuvicorn0.52.0indirect
PyPIvine5.0.0indirect
PyPIvirtualenv21.7.1indirect
PyPIwatchfiles1.2.0indirect
PyPIwcwidth0.2.6indirect
PyPIwebsockets16.1.1indirect
PyPIwebsockets17.0indirect
Dependency advisories 0

Installing pypi:Flask@3.1.3 pulls in 6 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.