labuladong/fucking-algorithm
Crack LeetCode, not only how, but also why.
First read
Useful directional context, not a final verdict yet
labuladong/fucking-algorithm is better read as a directional signal than a clean recommendation. Keep the snapshot conservative and validate source activity, package reality, and close alternatives before committing to it.
Visible
133.1K public stars in the current GitStar snapshot.
Long-term anchor
Active
Last commit Feb 28, 2026.
Stale activity
Adopted
Treat stars as discovery context until a linked package appears.
No linked package mapping
Confidence
One or more key signals are partial, so GitStar keeps the interpretation conservative.
Partial snapshot
Snapshot facts
- 133.1K stars
- 23.7K forks
- Last commit Feb 28, 2026
- Package usage not mapped yet
Compare lens
krahets/hello-algo and trekhleb/javascript-algorithms are the closest comparison targets GitStar found. A side-by-side comparison usually tells you more than a single raw rank.
Signal trail
Trajectory
Read the recent motion first. This block is for deciding whether the repository still looks alive, compounding, or flattening before you trust stars alone.
Daily momentum
Recent momentum is not captured
Weekly momentum
Recent momentum is not captured
Monthly momentum
Recent momentum is not captured
Last commit
Feb 28, 2026
Package reality
No linked npm or PyPI package is mapped for this repository yet, so the page leans more heavily on GitHub-visible popularity and should be read more conservatively.
No linked package signal is expected for this project type, so the read leans more heavily on repository-level public signals.
Hype vs Reality
Insufficient Package Data
Package mapping
No linked package yet
Cross-links
Standalone repo read
Validation note
GitStar can summarize public signals for labuladong/fucking-algorithm, but the GitHub repository is still the primary place to confirm release cadence, issue activity, and maintainer intent.
🛡️ Editorial Context
GitStar surfaces public popularity and package signals. These rankings are not endorsements, security reviews, or investment advice.
Why this rank
This repository stands out because it combines high lifetime stars.
High lifetime stars
📈 Momentum & Adoption Signals
Approximate star trajectory
Reconstructed from current stars and cached daily/weekly/monthly deltas.
Now: 133.1K
Daily momentum
No signal
Weekly momentum
No signal
Monthly momentum
No signal
Signal mix (log-scaled for readability)
Current stars133.1K
🧭 Hype vs Reality
Insufficient Package DataGitStar can see repository momentum, but it does not have a reliable linked package signal yet.
Treat stars and recent movement as discovery context only until npm or PyPI usage is available.
Status
Insufficient Package Data
Package footprint
No linked npm or PyPI usage signal
Method note
This label appears when GitStar cannot find strong enough package telemetry to compare attention against adoption. Compare it against other Markdown repos before treating stars as a moat.
Related alternative
krahets/hello-algo
Shares the data category footprint with labuladong/fucking-algorithm, so the comparison is closer to a same-problem decision than a same-language coincidence.
Related alternative
trekhleb/javascript-algorithms
Shares the data category footprint with labuladong/fucking-algorithm, so the comparison is closer to a same-problem decision than a same-language coincidence.
Related alternative
jwasham/coding-interview-university
Shares the data category footprint with labuladong/fucking-algorithm, so the comparison is closer to a same-problem decision than a same-language coincidence.
Related alternative
yangshun/tech-interview-handbook
Overlaps on topics such as algorithms and interview-questions, which makes it a stronger alternative than a random popularity neighbor.
Research links
Cross-links
Compare against related repos
GitStar picked hello-algo + javascript-algorithms as the closest next comparison from the related repository set.
Repo utility
Embed Badge
Preview:
Markdown
[](https://gitstar.space/repo/labuladong/fucking-algorithm)HTML
<a href="https://gitstar.space/repo/labuladong/fucking-algorithm"><img src="https://gitstar.space/api/badge/labuladong/fucking-algorithm" alt="GitStar"></a>Styles:
Wider nearby ecosystem
Java
124.2K starskrahets/hello-algo
《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
JavaScript
195.8K starstrekhleb/javascript-algorithms
📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
338.3K stars
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
TypeScript
138.4K starsyangshun/tech-interview-handbook
Curated coding interview preparation materials for busy software engineers
184.1K stars
CyC2018/CS-Notes
: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
Markdown
484K starscodecrafters-io/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
Next step after the validation read
Move into a compare preset, organization view, or the heuristic notes once this first fold tells you whether the repo looks visible, active, adopted, and credible enough to keep researching.
Learn and methodology
Keep trust-building context reachable, but behind the first data read instead of ahead of it.
About This Page
This page provides a quick overview of labuladong/fucking-algorithm based on GitStar's cached data. The signal chart reconstructs approximate checkpoints from current stars plus cached daily, weekly, and monthly star deltas, so it is best read as directional context rather than as a precise historical audit log.
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