sharkdp/pastel

A command-line tool to generate, analyze, convert and manipulate colors

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Summary Information

Updated 46 minutes ago
Added to GitGenius on September 10th, 2026
Created on June 2nd, 2019
Open Issues & Pull Requests: 40 (+0)
GitHub issues: Enabled
Number of forks: 131
Total Stargazers: 6,489 (+0)
Total Subscribers: 28 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 12.7 days
Mean response time: 161.5 days
90th percentile: 246.0 days
Tracked items: 19

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Issue Activity (beta)

Open issues: 10
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 558 days
Stale 30+ days: 9
Stale 90+ days: 7

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • bug (2)
  • enhancement (2)
  • good first issue (1)

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Detailed Description

pastel is a command-line tool for generating, analyzing, converting and manipulating colors.

The tool addresses the need to work with colors programmatically from the terminal, supporting conversion between numerous color formats and spaces including RGB, HSL, CIELAB, and CIELCh, as well as ANSI 8-bit and 24-bit representations. It provides discrete commands like saturate, mix, and paint that can be composed together through piping, allowing users to chain color operations. Colors can be specified in multiple formats and sourced from command-line arguments or standard input, making it flexible for scripting and automation.

The tool suits developers and designers who need to manipulate colors in shell scripts, terminal workflows, or build processes. It works well for tasks like converting between color formats, analyzing colors on the terminal, generating sets of visually distinct colors, and looking up X11 or CSS color names. The project is available across major platforms through standard package managers, making adoption straightforward regardless of operating system.

The project maintains a focused scope on color manipulation without attempting to be a general graphics library. Development activity shows consistent attention to the codebase with regular maintenance and updates. The tool is written in Rust, providing performance and reliability for command-line use. Installation options span multiple package managers and direct binary distribution, indicating active engagement with making the tool accessible to users across different environments.