liuchong/awesome-roadmaps

A curated list of roadmaps.

View on GitHub ↗Jump to charts ↓

Summary Information

Updated 38 minutes ago
Added to GitGenius on September 9th, 2026
Created on January 12th, 2019
Open Issues & Pull Requests: 0 (+0)
GitHub issues: Enabled
Number of forks: 481
Total Stargazers: 7,330 (+0)
Total Subscribers: 110 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 35.3 days
Mean response time: 498.1 days
90th percentile: 1295.0 days
Tracked items: 4

Charts & Analytics

Fetching additional details & charts...

Issue Activity (beta)

Open issues: 0
New in 7 days: 0
Closed in 7 days: 0
Avg open age: N/A days
Stale 30+ days: 0
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

No label distribution available yet.

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

Awesome Roadmaps is a curated list of learning roadmaps that helps developers identify structured paths to improve their knowledge and skills across software development domains.

The project addresses the challenge of navigating self-directed learning by aggregating roadmaps from across the community. Rather than creating original roadmaps itself, it collects and organizes existing resources—mostly visual learning maps and structured guides—that break down complex skill areas into clear progression routes. Each entry includes metadata indicating the resource type and the latest year the upstream content was updated, helping users identify current material.

The collection spans programming languages, web development, mobile development, infrastructure and operations, game development, artificial intelligence and machine learning, security, and miscellaneous topics. Developers should use this list when seeking a structured learning path in a particular domain or when evaluating which roadmap resources are actively maintained. The project is most useful for those who learn better with visual guides and explicit skill progression rather than unstructured exploration, and for teams looking to recommend learning paths to junior developers.

The project maintains an open contribution model, welcoming pull requests and issues to expand the collection. Updates to the list reflect changes in upstream roadmap resources, with year badges tracking the freshness of linked content. The curation appears responsive to community submissions, as evidenced by the contribution guidelines and active invitation for additions.