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Color Tools

A comprehensive Python library for color science operations, color space conversions, and color matching. This tool provides perceptually accurate color distance calculations, gamut checking, and extensive databases of CSS colors and 3D printing filament colors.

PyPI version Python versions CI CodeQL codecov License: MIT PyPI downloads

Color of the Day Filament of the Day

Note: The swatch images above are served by a personal demo deployment — not a public API. They may change or be unavailable without notice. See docs/API.md for details.

Changelog

📚 Documentation

📖 Full API Documentation - Complete API reference with examples

User Guides

Document Description
Installation Setup, dependencies, development install
Usage Library API, CLI commands, examples
Customization Data files, custom palettes, configuration
Troubleshooting Error handling, performance, technical notes
FAQ Color spaces, distance metrics, contributing

✨ Features

  • Multiple Color Spaces: RGB, HSL, LAB, LCH with accurate conversions
  • Perceptual Color Distance: Delta E formulas (CIE76, CIE94, CIEDE2000, CMC, HyAB)
  • Color Databases:
    • Complete CSS color names with hex/RGB/HSL/LAB/LCH values
    • Extensive 3D printing filament database (913 filaments) with manufacturer info
    • Unique semantic IDs for all filaments (e.g., "bambu-lab-pla-silk-red")
    • Alternative name support for regional variations and rebranding
    • Maker synonym support for flexible filament searches
    • Retro/Classic Palettes: CGA, EGA, VGA, and Web-safe color palettes
  • Image Transformations (with [image] extra):
    • Color Vision Deficiency (CVD): Simulate and correct for colorblindness (protanopia, deuteranopia, tritanopia)
    • Palette Quantization: Convert images to retro palettes (CGA, EGA, VGA, Game Boy) with dithering support
    • Unified Architecture: All transformations leverage existing color science infrastructure
  • Gamut Checking: Verify if colors are representable in sRGB
  • Agent Integration (with [mcp] extra): Typed MCP tools for color analysis, conversion, perceptual comparison, palette search, filament matching, gamut mapping, and CVD transforms
  • Thread-Safe: Configurable runtime settings per thread
  • Color Science Integrity: Built-in verification of color constants

🎨 Demos

Color Vision Deficiency (CVD) Simulation & Correction

CVD Demo – Protanopia, Deuteranopia, Tritanopia

Animated: Original → Simulated (colorblind view) → Corrected, for all three deficiency types (protanopia, deuteranopia, tritanopia).

🚀 Quick Start

Installation

# Base package (zero dependencies)
pip install color-match-tools

# With image processing support
pip install color-match-tools[image]

# With interactive filament library manager
pip install color-match-tools[interactive]

# With colorized console logging (Rich)
pip install color-match-tools[logging]

# With the Color Tools MCP server for agents
pip install color-match-tools[mcp]

# With all optional features
pip install color-match-tools[all]

See Installation Guide for development setup and detailed options.

CLI Usage

# Interactive wizard — guided prompts for color, filament, and convert
# (requires: pip install color-match-tools[interactive])
color-tools
color-tools --interactive

# Find a CSS color by name
color-tools color --name coral

# Find nearest CSS color to an RGB value
color-tools color --nearest --value 255 128 64 --space rgb

# Generate a calm, dark triadic harmony
color-tools harmony --type triadic --hex "#E0006B" --mood calm --tone dark

# Find matching 3D printing filaments
color-tools filament --nearest --value 255 128 64

# Convert between color spaces
color-tools convert --from rgb --to lab --value 255 128 64
color-tools convert --from rgb --to cmyk --value 255 128 64
color-tools convert --from cmyk --to rgb --value 0 50 75 0

# Simulate colorblindness on an image
color-tools image --file photo.jpg --cvd-simulate deuteranopia

# Convert image to retro CGA palette
color-tools image --file photo.jpg --quantize-palette cga4 --dither

Library Usage

from color_tools import rgb_to_lab, delta_e_2000, Palette, FilamentPalette

# Convert RGB to LAB
lab = rgb_to_lab((255, 128, 64))
print(f"LAB: {lab}")

# Find nearest CSS color
palette = Palette.load_default()
nearest, distance = palette.nearest_color(lab, space="lab")
print(f"Nearest: {nearest.name} (ΔE: {distance:.2f})")

# Find matching filaments
filament_palette = FilamentPalette.load_default()
filament, distance = filament_palette.nearest_filament((255, 128, 64))
print(f"Filament: {filament.maker} {filament.color}")

See Usage Guide for complete API reference and CLI documentation.

Color Harmonies

Generate perceptual color harmonies in CIE LCH space from an RGB base color:

from color_tools import generate_harmony

palette = generate_harmony(
  (224, 0, 107),
  "triadic",
  mood="calm",
  tone="dark",
)

print([color.hex for color in palette.colors])

Harmony schemes include analogous, complementary, split-complementary, triadic, square, tetradic, monochromatic, and six-color rainbow/full-spectrum. Optional warm, cool, happy, calm, intense, sad, and energetic mood presets adjust palette lightness and chroma without changing the harmony's hue relationships. Independent dark and light tones can be composed with any mood.

Mood presets are opinionated design heuristics rather than universal psychological rules. The base color remains unchanged by default; pass grade_base=True to style it with the generated colors.

MCP Server

The optional MCP server exposes Color Tools to GitHub Copilot and other MCP-compatible agents as typed, structured tools:

pip install "color-match-tools[mcp]"
color-tools-mcp

MCP clients normally launch the stdio server automatically with python -m color_tools.mcp. See the MCP server guide for the tool catalog and client configuration.

🎨 Color Spaces

Space Description Range
RGB Red, Green, Blue 0-255 per component
HSL Hue, Saturation, Lightness H: 0-360°, S: 0-100%, L: 0-100%
LAB Perceptually uniform L: 0-100, a/b: ±100
LCH Cylindrical LAB L: 0-100, C: 0+, H: 0-360°
CMY Subtractive (no black channel) C/M/Y: 0-100% each
CMYK Subtractive print model (with black) C/M/Y/K: 0-100% each

Use LAB or LCH for color matching - they're designed to match human perception. Use CMYK for print workflows - the K channel produces richer blacks than CMY alone.

📏 Distance Metrics

Metric Use Case
CIEDE2000 (de2000) Recommended - Gold standard for perceptual accuracy
CIE94 (de94) Good balance of accuracy and performance
CIE76 (de76) Fast, simple Euclidean in LAB space
CMC (cmc) Textile industry standard
HyAB (hyab) Best for large color differences and image quantization

See FAQ for detailed explanations of when to use each metric.

📦 Data Files

The library includes extensive color databases:

  • CSS Colors: 147 named colors with full color space representations
  • 3D Printing Filaments: 584+ filaments from major manufacturers
  • Retro Palettes: 20 official palettes including CGA, EGA, VGA, Game Boy, Commodore 64, PICO-8, and more

Extend with your own data using User Data Files.

Track your owned filaments for personalized color matching - create an owned-filaments.json file to automatically filter searches to filaments you already have. See Owned Filaments in the Customization Guide.

🔧 Export & Integration

Export colors and filaments to various formats for use with external tools:

Available Formats

Universal Formats (Colors + Filaments):

  • CSV - Generic CSV with all fields (preserves full metadata)
  • JSON - Raw data format for backup/restore (preserves full metadata)

Palette/Graphics Applications (Colors Only):

  • GIMP Palette (.gpl) - Import into GIMP, Inkscape, Krita
  • Hex (.hex) - Simple hex color list (uppercase, no # prefix)
  • JASC-PAL (.pal) - Paint Shop Pro palette format (compatible with Aseprite)
  • PAINT.NET (.txt) - PAINT.NET palette format (AARRGGBB hex codes)
  • Lospec JSON (.json) - Lospec.com palette format for sharing palettes

3D Printing (Filaments Only):

  • AutoForge (.csv) - Specialized CSV for AutoForge/HueForge lithophane workflow

Note: Palette formats (Hex, JASC-PAL, PAINT.NET, Lospec) only export color values and lose filament metadata (maker, type, finish, TD values). For full filament data preservation, use CSV or JSON.

Export Examples

from color_tools import Palette, FilamentPalette
from color_tools.exporters import get_exporter, list_export_formats

# List available formats for colors
formats = list_export_formats('colors')
print(formats)
# {'csv': '...', 'json': '...', 'gpl': '...', 'hex': '...', 'pal': '...', ...}

# Export to various formats
palette = Palette.load_default()

# GIMP Palette for graphics work
get_exporter('gpl').export_colors(palette.records[:20], 'colors.gpl')

# Hex format for web/programming
get_exporter('hex').export_colors(palette.records[:20], 'colors.hex')

# JASC-PAL for Paint Shop Pro/Aseprite
get_exporter('pal').export_colors(palette.records[:20], 'colors.pal')

# Lospec JSON for sharing online
get_exporter('lospec').export_colors(palette.records[:20], 'palette.json')

# Export filaments to AutoForge CSV
filaments = FilamentPalette.load_default()
bambu_pla = filaments.filter(maker="Bambu Lab", type_name="PLA")
get_exporter('autoforge').export_filaments(bambu_pla, 'bambu_pla.csv')

Plugin Architecture

The exporter system uses a plugin architecture - new formats can be added without modifying existing code:

from color_tools.exporters import register_exporter
from color_tools.exporters.base import PaletteExporter, ExporterMetadata

@register_exporter
class MyExporter(PaletteExporter):
    @property
    def metadata(self):
        return ExporterMetadata(
            name='myformat',
            description='My custom format',
            file_extension='txt',
            supports_colors=True,
            supports_filaments=False,
        )
    
    def _export_colors_impl(self, colors, output_path):
        # Implementation here
        pass

See exporters/gpl_exporter.py for a complete example.

📋 Logging

The library ships with a structured logging system that fans out to console and an optional rotating file — one call, both destinations:

from pathlib import Path
import logging
from color_tools import setup_logging, get_logger, log_info

# Console-only (INFO+ by default)
setup_logging()

# Console + rotating file (DEBUG+ to file, INFO+ to console)
setup_logging(log_file=Path("color_tools.log"), console_level=logging.DEBUG)

# Module-level logger (use __name__ to get "color_tools.mymodule")
logger = get_logger(__name__)
logger.info("Loaded %d colors", count)

# Convenience shortcuts on the library root logger
log_info("Processing %d filaments", n)

For colorized console output install the [logging] extra:

pip install color-match-tools[logging]   # adds Rich

The library registers a NullHandler at import time (Python library best practice), so no output is produced until setup_logging() is explicitly called.

CLI file logging — write logs while using the command line:

color-tools --log-file color_tools.log color --nearest --hex "#FF8040"
color-tools --log-file debug.log --log-level DEBUG filament --nearest --hex "#FF0000"

See Usage Guide for the full API reference.

�🔒 Data Integrity

All core data files are protected with SHA-256 hashes:

python -m color_tools --verify-all

See Troubleshooting for verification details.

🤝 Contributing

CRITICAL: Color science constants should NEVER be modified. They represent fundamental values from international standards.

See FAQ for contribution guidelines.

📄 License

MIT License - see LICENSE for details.

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