Color ToolsUnclaimed

Colour Science for Python

A comprehensive Python library offering color science algorithms and datasets

Also known as
colour-science-for-python

Available worldwide

What is Colour Science for Python?

An open-source package that provides extensive algorithms and datasets for color science applications, including support for numerous color spaces, color blindness analysis, and colorimetry.

Independently observed

Colour Science for Python pricing

We don't have Colour Science for Python's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.

What Colour Science for Python does

The capabilities that matter for color tools, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.

Capabilities
Deployment model
-
Wcag aa aaa contrast validation
-
Image to palette auto extraction
-
Color theory ruleset locking triadic analogous
-
Css scss variable code output
-
Figma sketch native plugin
-
Adobe ase file export for photoshop
-
Screen level pixel eyedropper tool
-
Color blindness simulation prospects
-
Generative AI palette generation from text
-
SOC2 type ii
-
ISO 27001
-
Pricing model
One time perpetual license
Independently observed

Platform & deployment

Independently observed
Deployment
  • Self-hosted

Security & compliance

Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality

Colour Science for Python FAQ

Common questions about Colour Science for Python, answered from independent, dated evidence.

What is Colour Science for Python?

Colour Science for Python is an open-source library providing comprehensive tools for color science work, including color conversion, chromatic adaptation, color appearance modeling, colorimetry, and color difference calculations across multiple color spaces and standards. It is indexed under Color Tools.

Source: https://www.colour-science.org

Is Colour Science for Python free to use?

Colour Science for Python is open source, so it can be self-hosted and used at no licence cost. It is released under the BSD-3-Clause licence. Pricing changes often, so verify at source before relying on it.

Source: https://www.colour-science.org

Can Colour Science for Python be self-hosted?

Yes. Colour Science for Python can be deployed self-hosted, so it does not have to run on the vendor's infrastructure.

Source: https://www.colour-science.org

Is Colour Science for Python open source?

Yes. Colour Science for Python is published under the BSD-3-Clause licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.

Source: https://github.com/colour-science/colour

Colour Science for Python alternatives

Other color tools we track, ranked by the same independent score.

All Colour Science for Python alternatives, ranked →

Compare Colour Science for Python

Side by side against other color tools, attribute by attribute, with a source on every value.

Independent · unbought · dated

The vioscaleAI score: one lens on the evidence

Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Colour Science for Python, not the verdict.

Balanced composite 44 / 100
low · 20%
Signal contributions to the composite score
SignalScoreWeightContributionEvidence
Development activity450.094.2✓
Dependent projects330.062.1✓
Security score420.041.8✓
Stars650.031.7✓
Capabilities00.070.0-
Integrations00.080.0-
Release cadence00.050.0✓
Security posture00.060.0-
Package downloads00.140.0-
Developer Q&A activity00.060.0-

Computed . Re-weight it by intent, or see the full method.

All data & sourcesshow ↓

Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.

Activity

AttributeValueEvidence
Commits last 30d26mediumsource · 2026-09-11 · 65%

Adoption

AttributeValueEvidence
Github stars2,664highsource · 2026-10-14 · 90%
Dependent repos94highsource · 2026-10-14 · 85%

Content

AttributeValueEvidence
Faq4 itemsmediumsource · 2026-09-10 · 69%

Features

AttributeValueEvidence
CapabilitiesPricing model: one_time_perpetual_licensemediumsource · 2026-09-11 · 60%

Language

AttributeValueEvidence
PrimaryPythonhighsource · 2026-10-14 · 90%

License

AttributeValueEvidence
SpdxBSD-3-Clausehighsource · 2026-10-14 · 95%

Market

AttributeValueEvidence
AvailabilityPrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: …highsource · 2026-08-18 · 75%

Pricing

AttributeValueEvidence
Free tierYesmediumsource · 2026-10-14 · 60%
Modelopen_sourcemediumsource · 2026-10-14 · 60%
Price levelfreemediumsource · 2026-10-14 · 60%

Release

AttributeValueEvidence
Cadence days223mediumsource · 2026-10-14 · 70%
History20 itemsmediumsource · 2026-10-14 · 70%

Security

AttributeValueEvidence
Scorecard4.2highsource · 2026-10-14 · 90%
VulnerabilitiesCount: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=colour-science&per_page=100 · Last 12m: 0highsource · 2026-10-14 · 90%
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