Cute-Dress/Dress

好耶 是女装 | 备份·接受PR

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Cute-Dress/Dress has 3k+ stars and 400+ forks on GitHub, is written in Python, and was last pushed on Oct 18, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 51 minutes ago
Added to GitGenius on September 25th, 2026
Created on January 28th, 2023
Open Issues & Pull Requests: 3 (+0)
GitHub issues: Enabled
Number of forks: 433
Total Stargazers: 3,080 (+0)
Total Subscribers: 19 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 36.0 hours
Mean response time: 2.5 days
90th percentile: 7.7 days
Tracked items: 15

Maintainer activity

4 people did triage or write work on this repository in the last 12 months.

Counts unlabeled, assigned, unassigned, milestoned, demilestoned, locked, unlocked over the last 12 months. These are issue and pull request events that require triage or write permission. Commits and code review are not counted. labeled and renamed are excluded because GitHub issue forms record the issue author as the actor. Figures from October 18, 2026. This count is not comparable across projects: each project's automation decides which of these events a person emits. How this is counted.

Charts & Analytics

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Issue Activity (beta)

Open issues: 2
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 252 days
Stale 30+ days: 1
Stale 90+ days: 0

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 (2)
  • no-issue-activity (2)
  • bug (1)

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Detailed Description

Dress is a Git and GitHub learning project that teaches version control workflows through practical contribution exercises.

The project addresses the challenge of learning Git fundamentals by providing a hands-on environment where participants practice cloning repositories, creating branches, committing changes, syncing modifications, and submitting pull requests. Rather than abstract tutorials, learners gain experience through a complete workflow cycle in a single session. The project requires no programming skills and welcomes participants regardless of technical background.

The tool suits anyone new to Git and GitHub who wants to learn by doing rather than reading documentation. It is designed specifically for beginners seeking to understand the full contribution cycle. The project accepts pull requests and provides structured guidance through a contributor guide and beginner's guide, with additional documentation on partial cloning to reduce bandwidth requirements. Participants must follow folder naming conventions organized alphabetically, use meaningful identifiers for folder names, remove sensitive EXIF data from images, and keep image files under one megabyte. The project explicitly rejects stolen images and unauthorized reproductions.

The project maintains active engagement with contributors through pull request review, closing submissions that violate naming conventions or quality standards. Documentation is comprehensive, with separate guides for contribution preparation, beginners, and partial cloning workflows. An online API preview is available alongside the project repository itself.