Compare is the decision workspace
Visibility winner
labuladong/fucking-algorithm
133.1K stars
Use this as the long-horizon mindshare read, not as the final answer.
Freshness winner
krahets/hello-algo
+100 in the weekly window
Last commit Mar 28, 2026
Adoption winner
geekxh/hello-algorithm
Package mapping still partial
GitStar keeps the comparison directional when linked package telemetry is missing.
Data completeness
Comparison confidence
0/3 package links
2/3 repos have weekly momentum in the current snapshot.
Set the comparison frame before you read the verdict.
Compare up to three repositories with comma-separated owner/repo names. GitStar keeps missing package or momentum data explicit instead of flattening it into a false zero.
Visibility and freshness are readable here, but adoption proof is still uneven.
labuladong/fucking-algorithm currently leads on long-horizon mindshare with the strongest star base in this comparison. Package mapping is still partial, so this comparison cannot declare a clean adoption winner yet.
GitStar keeps cross-repository gaps visible. Missing package mappings or partial momentum data lower confidence, but they do not stop the page from showing a directional read.
labuladong/fucking-algorithm currently leads on long-horizon mindshare with the strongest star base in this comparison.
Stars are strongest at showing durable visibility, not direct production fit.
krahets/hello-algo has the strongest current movement signal in this set.
Weekly movement is +100 in the weekly window.
Package mapping is still partial, so this comparison cannot declare a clean adoption winner yet.
Treat this as a directional evaluation and verify ecosystem usage directly from package registries.
This is a cross-lane comparison, so use it to inspect trade-offs rather than to force a single numeric winner.
When the compared repos do not clearly share category or package neighborhoods, methodology and direct docs review matter more.
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- No linked package mapping yet
Crack LeetCode, not only how, but also why.
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- No linked package mapping yet
《Hello 算法》:动画图解、一键运行的数据结构与算法教程。支持简中、繁中、English、日本語,提供 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 等代码实现
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- No linked package mapping yet