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CS-Notes vs leetcode-master

Leetcode rivals. Both tagged leetcode, interview, algorithm. Six rounds of real GitHub data, an AI referee, and the crowd picks a side.

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CyC2018/CS-Notes: 186,483 stars, JavaScript. :books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
youngyangyang04/leetcode-master: 62,811 stars, Shell. 《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀

CS-Notes vs leetcode-master: tale of the tape

GitHub data as of November 11, 2026

CS-Notes has 3.0 times as many GitHub stars as leetcode-master (186,483 vs 62,811). In the last 6 days, CS-Notes gained more stars: +33 (+0.0%) against +14 (+0.0%) for leetcode-master. CS-Notes saw more development in the last 52 weeks with 994 commits, against 8 for leetcode-master. CS-Notes is the older project (created February 2018), leetcode-master started in December 2019. CS-Notes is written mainly in JavaScript, leetcode-master in Shell.

CyC2018/CS-Notesyoungyangyang04/leetcode-master
Stars186,48362,811
Stars gained, last 6 days+33+14
Growth, last 6 days+0.0%+0.0%
Avg. stars per day since creation5825
Forks50,63712,289
Commits, last 52 weeks9948
Open issues178266
Best Repocharts rank today#5 in JavaScript#10 in Shell
LanguageJavaScriptShell
License––
CreatedFeb 13, 2018Dec 14, 2019
Last pushNov 9, 2026Oct 24, 2026

Quick answers

Which is more popular, CS-Notes or leetcode-master?

CS-Notes has 3.0 times as many GitHub stars as leetcode-master (186,483 vs 62,811) (Repocharts data as of November 11, 2026).

Which is growing faster, CS-Notes or leetcode-master?

In the last 6 days, CS-Notes gained more stars: +33 (+0.0%) against +14 (+0.0%) for leetcode-master.

Which is more actively developed?

CS-Notes saw more development in the last 52 weeks with 994 commits, against 8 for leetcode-master.

What languages are CS-Notes and leetcode-master written in?

CS-Notes is written mainly in JavaScript, leetcode-master in Shell.

How does RepoClash compare CS-Notes and leetcode-master?

RepoClash scores both repositories in six rounds (popularity, momentum, activity, community, maintenance and freshness) from public GitHub data, adds an AI referee's verdict and lets developers vote for their favorite. Star counts are updated daily.

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