tealdeer-rs/tealdeer

A very fast implementation of tldr in Rust.

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Summary Information

Updated 40 seconds ago
Added to GitGenius on September 10th, 2026
Created on December 29th, 2015
Open Issues & Pull Requests: 14 (+0)
GitHub issues: Enabled
Number of forks: 162
Total Stargazers: 6,517 (+1)
Total Subscribers: 19 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 21.6 hours
Mean response time: 30.7 days
90th percentile: 71.0 days
Tracked items: 74

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 8% of issues opened in the past year have been closed. Three people close 91% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 12
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 648 days
Stale 30+ days: 8
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

  • enhancement (17)
  • good-first-issue (12)
  • feature-request (8)
  • spec (8)
  • chore (5)
  • testing (5)
  • bug (4)
  • discussion (3)

Most active issues this week

Detailed Description

Tealdeer is a command-line tool that provides fast access to simplified, example-based man pages from the tldr project.

The tool solves the problem of needing quick reference documentation without lengthy manual pages or network delays. It downloads and caches tldr pages locally so users can access them instantly without requiring a network connection after the initial cache population. The project prioritizes speed and frictionless usage, implementing the tldr client specification while adding advanced highlighting and configuration options.

Tealdeer suits developers who want quick command examples without the overhead of traditional man pages. It works well for anyone who frequently needs to recall command syntax and usage patterns. The tool is particularly valuable for those working in environments where network access may be limited or slow, since cached pages load instantly. Static binaries are available for immediate use without compilation.

The project maintains active continuous integration across Linux, macOS, and Windows platforms. Development follows a deliberate policy on AI usage, requiring clear marking of any AI-assisted contributions and prohibiting low-quality submissions to preserve learning opportunities for new contributors. The maintainers enforce code quality through clippy linting and comprehensive testing requirements for all changes.