explaingit

thealgorithms/go

★ 18,046GoAudience · developerComplexity · 2/5MaintainedLicenseSetup · easy

TLDR

A collection of algorithms and data structures implemented in Go, with examples of sorting, searching, graphs, encryption, and caching for learning and interview prep.

Mindmap

mindmap
  root((repo))
    What it does
      Algorithms library
      Data structures
      Educational code
    Topics covered
      Sorting and searching
      Graph algorithms
      String matching
      Encryption ciphers
      Caching strategies
    How to use it
      Learn algorithms
      Interview practice
      Study Go patterns
    Quality
      Automated tests
      CI verification
      Documented code

Things people build with this

USE CASE 1

Study how classic algorithms like sorting, searching, and graph traversal work by reading well-documented Go implementations.

USE CASE 2

Practice solving technical interview questions by reviewing and running algorithm implementations with test cases.

USE CASE 3

Learn Go programming patterns and idioms by examining how data structures and algorithms are structured as packages.

Tech stack

Go

Getting it running

Difficulty · easy Time to first run · 5min
Use freely for any purpose, including commercial use, as long as you keep the copyright notice and license text.

In plain English

This repository is a collection of algorithms and data structures implemented in the Go programming language, intended for educational purposes. It is part of the broader "TheAlgorithms" open-source project, which produces similar collections in many different programming languages. The codebase covers a wide range of topics: string matching algorithms, mathematical operations using binary arithmetic, sorting and searching, graph algorithms, caching strategies (including LRU and LFU caches, which are techniques for deciding what to keep in memory when space is limited), encryption ciphers, and many others. Each implementation is a self-contained Go package with documented functions. The repository includes automated tests and is set up with continuous integration to verify that all implementations pass their tests. It is designed for people learning algorithms, practicing for technical interviews, or studying how classic computer science concepts translate into Go code. Contributions are welcome and the project follows specific contribution guidelines.

Copy-paste prompts

Prompt 1
Show me how to implement a binary search algorithm in Go using this repository as a reference.
Prompt 2
I need to understand LRU cache eviction for an interview, walk me through the caching strategies in this Go algorithms repo.
Prompt 3
How would I add a new sorting algorithm to this repository following its structure and testing conventions?
Prompt 4
Explain the graph traversal algorithms in this Go collection and when to use each one.
Prompt 5
I'm learning Go, which algorithm implementations in this repo are good examples of idiomatic Go code?
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Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.