Roadmap
A learning path or self-study curriculum that orders topics to learn for a role or field.
Repositories
34
Net stars gained, last 7 days
+3,713
Top-level Tag
Net stars gained each day, last 90 days
Peak days
- 1
Oct 18, 2026 +1,000 net stars (median day +486)
- mlabonne/llm-course+479 (48%)
- jwasham/coding-interview-university+158 (16%)
- nilbuild/developer-roadmap+118 (12%)
- 2
Oct 22, 2026 +1,532 net stars (median day +486)
- luongnv89/claude-howto+1,024 (67%)
- nilbuild/developer-roadmap+107 (7%)
- 3
Oct 23, 2026 +1,134 net stars (median day +486)
- luongnv89/claude-howto+827 (73%)
- nilbuild/developer-roadmap+72 (6%)
A peak day has at least 2 times the net stars of the median day of this chart, and at least 100 more. For each peak day, the list shows the repositories that gained the most net stars that day. It also shows their GitHub releases of that day or the day before (UTC), and their creation date when it was 14 days or less before. These events occur near the same day. They do not show why the stars came.
Largest
Most stars in total now.
description:
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
description:
A complete computer science study plan to become a software engineer.
description:
Path to a free self-taught education in Computer Science!
- CyC2018/CS-Notes186K
readme:
每条路线把笔记按天排好，每天 1～2 小时：读一段笔记，回答几道面试中的真实问题，做一个动手练习
readme:
The LLM course is divided into three parts:
readme:
我的目标是让一个刚刚接触计算机的小白，可以完全凭借这些开源社区的优质资源，少走弯路，在 2-3 年内成长为一个有扎实的数学功底和代码能力
readme:
一套 **循序渐进**、**少走弯路** 的刷题计划。
readme:
A guided learning path that takes you from beginner to power user in 11-13 hours
readme:
start by following this 2024 breaking into data engineering roadmap
readme:
入门只看: 步骤 1 => 2 => 3，你可以当大牛！
Newest Admissions
Entered the index by the rising rule, newest first.
readme:
程序员的大模型全栈学习路线
description:
a beginner's path through Foundations, LLM Engineering, Agents, Evaluation, and Production
How a repository gets this Tag
An agent reads the description, the GitHub topics, and the start of the README of each repository. It chooses Tags only from the Tag list in the AwesomeRepos source code. For each Tag, it quotes the text. A code check keeps the Tag only when the quote is in that text. The quote under each repository is that evidence. A Tag does not rank repositories. It does not say that one repository can replace another. To report a wrong Tag, use "Report a problem with this page" on the page of the repository. All numbers on this page count only visible repositories.