fucking-algorithm

fucking-algorithm

Latest Version: 1.3

A highly starred, issue-free Markdown guide to mastering algorithms and data structures—emphasizing intuitive understanding over rote memorization.

Owner: labuladong

OSSauto-discoveredgithub-searchalgorithms

Stars

132.9k

GitHub star count

Last Release

N/A

1.3

Contributors

72

N/A

Health Score

N/A

N/A

Key Features

  • algorithms

  • computer science

  • data structures

  • dynamic programming

  • dynamic programming algorithm

Tech Stack

Markdown
auto-discovered
github-search
algorithms
computer-science
data-structures
dynamic-programming
dynamic-programming-algorithm
interview-questions
kmp
leetcode
markdown

About

A highly starred, issue-free Markdown guide to mastering algorithms and data structures—emphasizing intuitive understanding over rote memorization.

labuladong/fucking-algorithm is auto-discovered from GitHub Search activity signals. Markdown repository. Current repository metrics include 132859 stars, 23715 forks, and 0 open issues. Topics: algorithms, computer-science, data-structures, dynamic-programming, dynamic-programming-algorithm. Matched search heuristics: stars:>=150 pushed:>=2026-02-15 archived:false fork:false mirror:false. Metadata is enriched asynchronously by the refresh pipeline.

Analyst Note

A highly starred, issue-free Markdown guide to mastering algorithms and data structures—emphasizing intuitive understanding over rote memorization.

Best For

  • Technical stack evaluation for engineering teams
  • Dependency governance and upgrade planning in production systems
  • Track delivery cadence and release quality from labuladong
  • algorithms

Not Ideal For

  • Security posture signals are mixed; run additional security review before broad adoption

Typical Use Cases

Technical stack evaluation for engineering teamsDependency governance and upgrade planning in production systemsTrack delivery cadence and release quality from labuladong

Decision Snapshot

  • Product type: Open Source
  • Primary language: Markdown
  • Pricing model: Free
Data Basis
  • Last Sync: Mar 1, 2026, 03:01 PM
  • Metrics Updated: Mar 1, 2026, 03:01 PM
  • Completeness: 82%
  • Last Verified: Mar 1, 2026, 03:01 PM

Data Status

Stale
Last SyncMar 1, 2026, 03:01 PM
Metrics UpdatedMar 1, 2026, 03:01 PM
Completeness82%
Last VerifiedMar 1, 2026, 03:01 PM

Pros & Cons

Pros

  • Strong community adoption.
  • Broad maintainer participation.
  • Active maintenance cadence.

Cons

  • -Security posture signals are mixed; run additional security review before broad adoption

All Metrics

Adoption

4/4
Stars132.9k
Forks23.7k
Open Issues0
Contributors72

Health

0/4
Health ScorePending
Trend ScorePending
Activity ScorePending
Reliability ScorePending

Core

2/5
Latest Version1.3
Last ReleasePending
Last Commit2/28/2026
StatusPending
Activity LevelPending

Security

0/1
Security ScorePending