thealgorithms/algorithms-explanation

Popular algorithms explained in simple language with examples and links to their implementation in various programming languages and other required resources.

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Summary Information

Updated 9 minutes ago
Type:Curated List / Learning ResourceCategory(s):Interview Prep & AlgorithmsLearning & Resources
Added to GitGenius on September 20th, 2026
Created on September 29th, 2017
Open Issues & Pull Requests: 4 (+0)
GitHub issues: Enabled
Number of forks: 816
Total Stargazers: 3,470 (+0)
Total Subscribers: 80 (+0)

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Open issues: 1
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 1,886 days
Stale 30+ days: 1
Stale 90+ days: 0

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Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

Algorithms Explanation is an educational resource that provides accessible explanations of popular algorithms in simple language alongside examples and links to implementations across multiple programming languages.

The project addresses the challenge of understanding algorithmic concepts by breaking them down into straightforward explanations paired with concrete examples and references to working code. Rather than presenting dense theoretical material, it focuses on making algorithms approachable to learners at various levels by combining plain-language descriptions with pointers to actual implementations and supplementary resources.

This resource suits developers and students seeking to build algorithmic literacy without the barrier of heavy mathematical notation or complex theoretical frameworks. It works well for those learning algorithms for the first time, preparing for technical interviews, or refreshing knowledge of specific techniques. The multilingual structure makes it particularly valuable for non-English speakers, with content available in multiple languages including Uzbek, Brazilian Portuguese, French, Hebrew, Indonesian, Korean, Nepali, and Spanish.

The project maintains an open structure for community contribution, with clear guidelines for adding new languages using standard ISO language codes. Development activity shows consistent engagement with the codebase through regular updates and community participation, indicating sustained maintenance of the resource. The project welcomes contributions across multiple dimensions, from adding new algorithm explanations to translating existing content into additional languages, suggesting an active and distributed development model.