Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-16 09:23 UTC

python-pillow / Pillow

Python Imaging Library (fork)

Python · CCustom license★ 13,814 stars⑂ 2,507 forkssince Jul 2012View on GitHub ↗

python-pillow/Pillow holds a health index of 99 out of 100, placing it in the Exceptional band. It scores highest on Engineering Quality (100/100) and lowest on Sustainability & Governance (78/100). It was last updated today. 2 contributors account for most of its recent work.

99
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.

99
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 90 is calibrated to 99 on the published index scale (record calibration 2026-08-02).

Ownership

PillowOrganization
253 followers19 public repossince Jul 2012

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIpillow12.3.0436,808,92810776 days agoimaging

Metrics by category

Vitality

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

97Exceptional · 21% of overall

Development activity

100Exceptional
How it's scored
36/36Push recency — last push 0 days ago
36/36Commit cadence — 52/52 weeks with commits
18/18Commit volume — 1,221 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 15 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year1,221
human_commit_share0.93
days_since_last_push0
active_weeks_last_year52
How it's scored
27/27Ships releases — 65 releases published
36/36Release recency — latest release 76 days ago
19.8/27Release cadence — a release every ~81.1 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count65
latest_release_tag12.3.0
releases_from_tagsno
days_since_latest_release76
mean_days_between_releases81.1
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?

89Excellent · 17% of overall
How it's scored
60/60Stars — 13,814 stars
25/25Forks — 2,507 forks
13/15Watchers — 221 watchers
Inputs used
forks2,507
stars13,814
watchers221
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
16.9/22.5License — license file present, not a recognized license
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges12
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicescodecov.io, github.com, readthedocs.org, shields.io, www.bestpractices.dev
has_pull_request_templateyes
How it's scored
80/80Monthly downloads — 436,808,928 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagespillow
dependents—
ecosystemspypi
total_downloads—
monthly_downloads436,808,928
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?

78Good · 23% of overall
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
14.2/22.5Commit distribution — top contributor authored 37% of commits
13.5/13.5Contributor breadth — 97 contributors
10/10OpenSSF Scorecard: Contributors — project has 70 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled97
top_contributor_share0.369
How it's scored
41.1/42Issue resolution — 98% of issues closed
26.8/30PR acceptance — 5,561/6,234 decided PRs merged
7.4/13Newcomer PR acceptance — 4/7 first-time contributors' PRs merged in 30d
13.5/15OpenSSF Scorecard: Code-Review — Found 19/20 approved changesets -- score normalized to 9
Inputs used
merged_prs5,561
open_issues72
closed_issues3,387
prs_merged_7d28
prs_decided_7d36
prs_merged_30d47
prs_decided_30d58
issue_closed_ratio0.979
closed_unmerged_prs673
first_time_authors_30d5
first_time_prs_merged_30d4
first_time_prs_decided_30d7
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
17.3/25Owner reach — 253 followers of python-pillow
21.5/25Track record — 19 public repos, account ~14 yr old
Inputs used
followers253
owner_typeOrganization
is_verifiedno
owner_loginpython-pillow
public_repos19
account_age_days5,166

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 76 days ago
20/20Version history — 107 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagespillow
ecosystemspypi
any_deprecatedno
min_days_since_publish76

Engineering Quality

Are baseline engineering and documentation practices in place?

100Exceptional · 19% of overall

Engineering practices

100Exceptional
How it's scored
24/24CI workflows — 14 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff], [tool.black]), tox.ini
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 20 out of 20 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

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://python-pillow.org
10/10Repository description
10/10Topics — 8 topics
10/10Wiki
Inputs used
topicsc, cross-platform, pil, pillow, python, python-3, image-processing, image
has_wikiyes
homepagehttps://python-pillow.org
docs_sitehttps://python-pillow.org
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

88Excellent · 16% of overall

Security posture

85Excellent
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 — 20 out of 20 merged PRs checked by a CI test -- score normalized to 10
1.2/2.5CII-Best-Practices — badge detected: Passing
6.8/7.5Code-Review — Found 19/20 approved changesets -- score normalized to 9
2.5/2.5Contributors — project has 70 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
2.2/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 15 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
2.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
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
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate8.5
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 advisories — no direct dependency carries a known advisory
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages4
unassessed_packages18
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 4 resolved dependencies against OSV. 18 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. 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.

82Excellent · 4% of overall
How it's scored
45/45Agent instructions — .claude/CLAUDE.md, AGENTS.md
0/15Machine-readable docs (llms.txt)
33.8/40Legible commit history — 59 of 93 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.634
agent_instruction_files.claude/CLAUDE.md, AGENTS.md
agent_instruction_max_bytes3,265
How it's scored
18/18One-command bootstrap — Makefile, docs/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff], [tool.black]), tox.ini
11/11Static type checking — src/PIL/py.typed
0/10Reproducible environment
4/10Demonstrated agent practice — 2 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 5 of the last 100 commits are automated dependency updates
5/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_filesMakefile, docs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configssrc/PIL/py.typed
agent_commit_share0.02
toolchain_manifests—
dependency_bot_commit_share0.05
How it's scored
27/45Type-checkable code — Python with type-check config (src/PIL/py.typed)
54.1/55Manageable file sizes — 7/413 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes153,757
source_files_sampled413
oversized_source_files7
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 — example
Inputs used
example_dirsexample
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

13,814GitHub stars
97contributors
1,221commits, last 12 months
0days since last push
65releases
2bus factor
72open 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 ★ / 2,507 ⇿
0Stars
2,507Forks
27Releases

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.

1,4001,6001,8002,0002,2002,4002,6002,507492021-052024-012026-09
Major 4Minor 16Patch 7

Each point covers 5 days.

OpenSSF Scorecard 8.5 / 10
8.5aggregate

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 09:22 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests20 out of 20 merged PRs checked by a CI test -- score normalized to 10
5CII-Best-Practicesbadge detected: Passing
9Code-ReviewFound 19/20 approved changesets -- score normalized to 9
10Contributorsproject has 70 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
10Fuzzingproject is fuzzed
9Licenselicense file detected
10Maintained30 commit(s) and 15 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 5
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
10Vulnerabilities0 existing vulnerabilities detected
All dependencies 22

Full resolved dependency set from the GitHub dependency graph: 0 direct and 22 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIarro3-compute—indirect
PyPIarro3-core—indirect
PyPIcheck-jsonschema0.38.0indirect
PyPIcibuildwheel4.2.0indirect
PyPIcoverage—indirect
PyPIicespringpysidestubs-pyqt6—indirect
PyPIicespringpysidestubs-pyside6—indirect
PyPIipython—indirect
PyPImypy2.3.1indirect
PyPInumpy2.4.6indirect
PyPIpackaging—indirect
PyPIpyarrow-stubs—indirect
PyPIpybind11—indirect
PyPIpytest—indirect
PyPIsetuptools—indirect
PyPIsphinx—indirect
PyPItrove-classifiers—indirect
PyPItypes-atheris—indirect
PyPItypes-defusedxml—indirect
PyPItypes-olefile—indirect
PyPItypes-psutil—indirect
PyPItypes-setuptools—indirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 4 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct. 18 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

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.