Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-13 01:12 UTC

colour-science / colour

Colour Science for Python

PythonBSD-3-Clause★ 2,634 stars⑂ 291 forkssince Feb 2014View on GitHub ↗
KindCommand-line toolLibraryhow this is determined
#color#color-science#color-space#color-spaces#colorspace#colorspaces#colour#colour-science#colour-space#colour-spaces#colourspace#colourspaces#data#dataset#datasets#python#spectral-data#spectral-dataset#spectral-datasets

colour-science/colour holds a health index of 90 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (96/100) and lowest on Security (52/100). It was last updated today. A single contributor accounts for most of its recent work.

90
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.

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

Ownership

colour-scienceOrganization
428 followers89 public repossince Aug 2014

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIcolour-science0.4.7-25249 days agocolorcolor-sciencecolor-spacecolor-spacescolorspacecolorspacescolourcolour-sciencecolour-spacecolour-spacescolourspacecolourspacesdatadatasetdatasetspythonspectral-dataspectral-datasetspectral-datasets

Metrics by category

Vitality

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

76Good · 21% of overall

Development activity

85Excellent
How it's scored
36/36Push recency — last push 0 days ago
20.8/36Commit cadence — 30/52 weeks with commits
18/18Commit volume — 150 commits in the last year
10/10OpenSSF Scorecard: Maintained — 9 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year150
human_commit_share1
days_since_last_push0
active_weeks_last_year30

Release discipline

62Moderate
How it's scored
27/27Ships releases — 25 releases published
16.2/36Release recency — latest release 249 days ago
12.6/27Release cadence — a release every ~238 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count25
latest_release_tagv0.4.7
releases_from_tagsno
days_since_latest_release249
mean_days_between_releases238
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

Popularity & adoption

87Excellent
How it's scored
55.5/60Stars — 2,634 stars
20.5/25Forks — 291 forks
10.6/15Watchers — 83 watchers
Inputs used
forks291
stars2,634
watchers83
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_badges5
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesopencollective.com
has_pull_request_templateyes

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

70Good · 23% of overall

Maintainer resilience (bus factor)

34At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
1.5/22.5Commit distribution — top contributor authored 93% of commits
13.5/13.5Contributor breadth — 54 contributors
10/10OpenSSF Scorecard: Contributors — project has 34 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled54
top_contributor_share0.932

Issue & PR responsiveness

74Good
How it's scored
36.9/42Issue resolution — 88% of issues closed
24.9/30PR acceptance — 353/425 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
3/15OpenSSF Scorecard: Code-Review — Found 6/29 approved changesets -- score normalized to 2
Inputs used
merged_prs353
open_issues83
closed_issues599
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.878
closed_unmerged_prs72
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

92Excellent
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
18.9/25Owner reach — 428 followers of colour-science
25/25Track record — 89 public repos, account ~12 yr old
Inputs used
followers428
owner_typeOrganization
is_verified—
owner_logincolour-science
public_repos89
account_age_days4,384
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

91Excellent
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
26/35Publish recency — latest publish 249 days ago
20/20Version history — 25 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagescolour-science
ecosystemspypi
any_deprecatedno
min_days_since_publish249

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 9 out of 9 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://www.colour-science.org
10/10Repository description
10/10Topics — 19 topics
10/10Wiki
Inputs used
topicscolor, color-science, color-space, color-spaces, colorspace, colorspaces, colour, colour-science, colour-space, colour-spaces, colourspace, colourspaces, data, dataset, datasets, python, spectral-data, spectral-dataset, spectral-datasets
has_wikiyes
homepagehttps://www.colour-science.org
docs_sitehttps://www.colour-science.org
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

52Moderate · 16% of overall

Security posture

40Weak
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 — 9 out of 9 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
1.5/7.5Code-Review — Found 6/29 approved changesets -- score normalized to 2
2.5/2.5Contributors — project has 34 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 9 commit(s) and 3 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
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 91 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate4
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_packages1
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:colour-science@0.4.7 runtime dependency closure — what installing the published package pulls in — 1 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.

54Moderate · 4% of overall

Agent context & guidance

5Critical
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
5.3/40Legible commit history — 10 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.1
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

64Moderate
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config
11/11Static type checking — colour/py.typed
0/10Reproducible environment
2/10Demonstrated agent practice — 1 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configscolour/py.typed
agent_commit_share0.01
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

80Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (colour/py.typed)
53.3/55Manageable file sizes — 22/722 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes287,360
source_files_sampled722
oversized_source_files22

Machine-readable interfaces

100Exceptional
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

2,634GitHub stars
54contributors
150commits, last 12 months
0days since last push
25releases
1bus factor
83open 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 ★ / 291 ⇿
0Stars
291Forks
25Releases

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.

050100150200250300289122014-092020-082026-08
Major 0Minor 2Patch 23

Each point covers 11 days.

OpenSSF Scorecard 4.0 / 10
4.0aggregate

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 · 2026-08-13 01:11 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-Tests9 out of 9 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
2Code-ReviewFound 6/29 approved changesets -- score normalized to 2
10Contributorsproject has 34 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained9 commit(s) and 3 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
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities91 existing vulnerabilities detected
Direct dependencies 1
RegistryPackageVersion constraintManifest
PyPInumpy>=2.0.0,<3pyproject.toml
All dependencies 196

Full resolved dependency set from the GitHub dependency graph: 2 direct and 194 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPInumpy—direct
PyPInumpy2.3.5direct
PyPIaccessible-pygments0.0.5indirect
PyPIalabaster1.0.0indirect
PyPIanyio4.12.0indirect
PyPIappnope0.1.4indirect
PyPIargon2-cffi25.1.0indirect
PyPIargon2-cffi-bindings25.1.0indirect
PyPIarrow1.4.0indirect
PyPIasttokens3.0.1indirect
PyPIasync-lru2.0.5indirect
PyPIattrs25.4.0indirect
PyPIbabel2.17.0indirect
PyPIbackports-tarfile1.2.0indirect
PyPIbackports-zstd1.1.0indirect
PyPIbeautifulsoup44.14.3indirect
PyPIbiblib-simple0.1.2indirect
PyPIbleach6.3.0indirect
PyPIcertifi2025.11.12indirect
PyPIcffi2.0.0indirect
PyPIcharset-normalizer3.4.4indirect
PyPIclick8.3.1indirect
PyPIcolorama0.4.6indirect
PyPIcomm0.2.3indirect
PyPIcontourpy1.3.3indirect
PyPIcoverage7.12.0indirect
PyPIcoveralls4.0.2indirect
PyPIcryptography46.0.3indirect
PyPIcycler0.12.1indirect
PyPIdebugpy1.8.17indirect
PyPIdecorator5.2.1indirect
PyPIdefusedxml0.7.1indirect
PyPIdistlib0.4.0indirect
PyPIdocopt0.6.2indirect
PyPIdocutils0.22.3indirect
PyPIexecnet2.1.2indirect
PyPIexecuting2.2.1indirect
PyPIfastjsonschema2.21.2indirect
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PyPIfqdn1.5.1indirect
PyPIh110.16.0indirect
PyPIhatch1.16.1indirect
PyPIhatchling1.28.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIhyperlink21.0.0indirect
PyPIid1.5.0indirect
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PyPIipykernel7.1.0indirect
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PyPIjaraco-classes3.4.0indirect
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PyPIjson50.12.1indirect
PyPIjsonpointer3.0.0indirect
PyPIjsonschema4.25.1indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIjupyter1.1.1indirect
PyPIjupyter-client8.6.3indirect
PyPIjupyter-console6.6.3indirect
PyPIjupyter-core5.9.1indirect
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PyPIjupyter-lsp2.3.0indirect
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PyPIjupyterlab-pygments0.3.0indirect
PyPIjupyterlab-server2.28.0indirect
PyPIjupyterlab-widgets3.0.16indirect
PyPIkeyring25.7.0indirect
PyPIkiwisolver1.4.9indirect
PyPIlark1.3.1indirect
PyPIlatexcodec3.0.1indirect
PyPImarkdown-it-py4.0.0indirect
PyPImarkupsafe3.0.3indirect
PyPImatplotlib3.10.7indirect
PyPImatplotlib-inline0.2.1indirect
PyPImdurl0.1.2indirect
PyPImistune3.1.4indirect
PyPImore-itertools10.8.0indirect
PyPInbclient0.10.2indirect
PyPInbconvert7.16.6indirect
PyPInbformat5.10.4indirect
PyPInest-asyncio1.6.0indirect
PyPInetworkx3.6indirect
PyPInh30.3.2indirect
PyPInodeenv1.9.1indirect
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PyPInotebook-shim0.2.4indirect
PyPInumpy-typing-compat20250818.2.3indirect
PyPIopencolorio2.5.0indirect
PyPIopenimageio3.1.8.0indirect
PyPIoptype0.14.0indirect
PyPIoverrides7.7.0indirect
PyPIpackaging25.0indirect
PyPIpandas2.3.3indirect
PyPIpandocfilters1.5.1indirect
PyPIparso0.8.5indirect
PyPIpathspec0.12.1indirect
PyPIpexpect4.9.0indirect
PyPIpillow12.0.0indirect
PyPIplatformdirs4.5.1indirect
PyPIpluggy1.6.0indirect
PyPIprek0.2.19indirect
PyPIprometheus-client0.23.1indirect
PyPIprompt-toolkit3.0.52indirect
PyPIpsutil7.1.3indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.3indirect
PyPIpybtex0.25.1indirect
PyPIpybtex-docutils1.0.3indirect
PyPIpycparser2.23indirect
PyPIpydata-sphinx-theme0.16.1indirect
PyPIpydot3.0.4indirect
PyPIpygments2.19.2indirect
PyPIpyparsing3.2.5indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpyright1.1.407indirect
PyPIpytest9.0.1indirect
PyPIpytest-cov6.3.0indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-json-logger4.0.0indirect
PyPIpytz2025.2indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpywinpty3.0.2indirect
PyPIpyyaml6.0.3indirect
PyPIpyzmq27.1.0indirect
PyPIreadme-renderer44.0indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.32.5indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrestructuredtext-lint2.0.2indirect
PyPIrfc3339-validator0.1.4indirect
PyPIrfc39862.0.0indirect
PyPIrfc3986-validator0.1.1indirect
PyPIrfc3987-syntax1.1.0indirect
PyPIrich14.2.0indirect
PyPIroman-numerals3.1.0indirect
PyPIrpds-py0.30.0indirect
PyPIscipy1.16.3indirect
PyPIscipy-stubs1.16.3.2indirect
PyPIsecretstorage3.5.0indirect
PyPIsend2trash1.8.3indirect
PyPIsetuptools80.9.0indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsnowballstemmer3.0.1indirect
PyPIsoupsieve2.8indirect
PyPIsphinx9.0.4indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-bibtex2.6.5indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIstack-data0.6.3indirect
PyPIterminado0.18.1indirect
PyPItinycss21.4.0indirect
PyPItoml0.10.2indirect
PyPItomli2.3.0indirect
PyPItomli-w1.2.0indirect
PyPItomlkit0.13.3indirect
PyPItornado6.5.2indirect
PyPItqdm4.67.1indirect
PyPItraitlets5.14.3indirect
PyPItrimesh4.10.0indirect
PyPItrove-classifiers2025.12.1.14indirect
PyPItwine6.2.0indirect
PyPItyping-extensions4.15.0indirect
PyPItzdata2025.2indirect
PyPIuri-template1.3.0indirect
PyPIurllib32.6.0indirect
PyPIuserpath1.9.2indirect
PyPIuv0.9.15indirect
PyPIvirtualenv20.35.4indirect
PyPIwcwidth0.2.14indirect
PyPIwebcolors25.10.0indirect
PyPIwebencodings0.5.1indirect
PyPIwebsocket-client1.9.0indirect
PyPIwidgetsnbextension4.0.15indirect
PyPIxxhash3.6.0indirect
PyPIzipp3.23.0indirect
Dependency advisories 0

Installing pypi:colour-science@0.4.7 pulls in 1 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

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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 v0.31.0 — full methodology · metrics wiki.

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