williamfiset/algorithms

A collection of algorithms and data structures

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williamfiset/algorithms has 18k+ stars and 4.5k+ forks on GitHub, is written in Java, and was last pushed on Jun 23, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 1 hour ago
Type:Template / ExampleCategory(s):Interview Prep & AlgorithmsLearning & Resources
Added to GitGenius on September 3rd, 2026
Created on March 18th, 2017
Open Issues & Pull Requests: 48 (+0)
GitHub issues: Enabled
Number of forks: 4,503
Total Stargazers: 18,780 (+0)
Total Subscribers: 404 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 910.5 days
Mean response time: 1578.8 days
90th percentile: 3056.0 days
Tracked items: 42

Maintainer activity

1 person did triage or write work on this repository in the last 12 months.

Counts unlabeled, assigned, unassigned, milestoned, demilestoned, locked, unlocked over the last 12 months. These are issue and pull request events that require triage or write permission. Commits and code review are not counted. labeled and renamed are excluded because GitHub issue forms record the issue author as the actor. Figures from October 11, 2026. This count is not comparable across projects: each project's automation decides which of these events a person emits.

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Issue Activity (beta)

Open issues: 6
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 1,161 days
Stale 30+ days: 4
Stale 90+ days: 4

Recent activity

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

Top labels

  • Geometry (8)
  • Graph theory (8)
  • Network flow (5)
  • Data Structure (3)
  • Dynamic programming (2)
  • Linear algebra (1)
  • Machine learning (1)
  • enhancement (1)

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Detailed Description

Algorithms is a collection of algorithms and data structures implemented in Java that demonstrates how to correctly implement common computational techniques in simple and elegant ways.

The repository addresses the need for clear reference implementations of fundamental algorithms and data structures by providing working code examples alongside educational resources. Many implementations include companion video explanations to help developers understand not just the code but the underlying concepts. The project covers a broad range of topics including graph theory, dynamic programming, sorting, searching, geometry, and network flow algorithms like Dijkstra's algorithm, maximum flow, and solutions to the traveling salesman problem.

This collection serves as a learning resource and reference for developers studying algorithms rather than as a production library to integrate into projects. It works best for someone building foundational knowledge in computer science or reviewing implementations before writing their own optimized versions for specific use cases. The repository uses Bazel as its build system, though it also supports compilation and execution with only the JDK for those who prefer not to adopt an additional build tool.

The project receives infrequent responses to issues and pull requests, with weeks or longer commonly passing before initial engagement. Work in the issue tracker concentrates on three areas: geometry, graph theory, and network flow algorithms, suggesting these domains receive the most active development attention.