Algorithms collection
A collection of algorithm and data structure implementations made to learn from; not one production library.
Repositories
18
Net stars gained, last 7 days
+675
Top-level Tag
Net stars gained each day, last 90 days
Peak days
- 1
Oct 25, 2026 +223 net stars (median day +97)
- williamfiset/algorithms+80 (36%)
- TheAlgorithms/Java+70 (31%)
- TheAlgorithms/Python+22 (10%)
A peak day has at least 2 times the net stars of the median day of this chart, and at least 100 more. For each peak day, the list shows the repositories that gained the most net stars that day. It also shows their GitHub releases of that day or the day before (UTC), and their creation date when it was 14 days or less before. These events occur near the same day. They do not show why the stars came.
Largest
Most stars in total now.
readme:
Implementations are for learning purposes only. They may be less efficient than the implementations in the Python standard library.
readme:
This repository contains JavaScript based examples of many popular algorithms and data structures.
readme:
All algorithms are implemented in Java (for educational purposes)
description:
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
description:
Algorithms and Data Structures implemented in JavaScript for beginners, following best practices.
readme:
but rather to present the inner workings of them in a transparent and accessible way.
readme:
Also included are **unit tested reference implementations** of various data structures and algorithms.
readme:
Easy to read for understanding each algorithm's basic idea.
description:
Algorithms and data structures in Swift, with explanations!
readme:
All algorithms implemented in Rust - for education
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