Color ToolsUnclaimed

Colour Science for Python

Also known as
colour-science-for-python

Available worldwide

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.

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.

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 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 Vioscale 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 34 / 100
low · 21%updating
Signal contributions to the composite score
SignalScoreWeightContributionEvidence
Development activity420.093.9
Dependent projects330.062.1
Security score420.041.8
Stars650.031.7
Capabilities00.080.0-
Integrations00.070.0-
Release cadence00.050.0
Security posture00.070.0-
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 30d20mediumsource · 2026-08-26 · 65%

Adoption

AttributeValueEvidence
Github stars2,642highsource · 2026-08-26 · 90%
Dependent repos94highsource · 2026-08-26 · 85%

Language

AttributeValueEvidence
PrimaryPythonhighsource · 2026-08-26 · 90%

License

AttributeValueEvidence
SpdxBSD-3-Clausehighsource · 2026-08-26 · 95%

Market

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

Pricing

AttributeValueEvidence
Free tierYesmediumsource · 2026-08-18 · 60%
Modelopen_sourcemediumsource · 2026-08-18 · 60%
Price levelfreemediumsource · 2026-08-18 · 60%

Release

AttributeValueEvidence
Cadence days223mediumsource · 2026-08-26 · 70%
History20 itemsmediumsource · 2026-08-26 · 70%

Security

AttributeValueEvidence
Scorecard4.2highsource · 2026-08-26 · 90%
VulnerabilitiesCount: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=colour-science&per_page=100 · Last 12m: 0highsource · 2026-08-26 · 90%