JavaScript Algorithms is a GitHub repository or organization with source code, releases, documentation, or project resources.
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An open-source resource for learning data structures and algorithms through implementations in various programming languages. The site covers programming languages including Python, Java, JavaScript, Go, Rust, and C++, and organizes algorithms into categories such as sorting, searching, and graph algorithms. It also provides guidance on contributing implementations.
JSMLT is an open source JavaScript library for education in machine learning. It implements supervised learning algorithms, including SVM, random forest, decision tree, perceptron, neural networks, k-nearest neighbors and logistic regression, and provides visualization examples for exploring how the algorithms work.
CS50 is Harvard University's introduction to computer science and programming, intended for students with or without prior experience. It covers computational thinking, abstraction, algorithms and data structures, and programming in C, then Python, and later SQL, HTML, CSS and JavaScript, ending with a final project. The material is available free online through OpenCourseWare over eleven weeks.
D3.js is a JavaScript library for bespoke data visualization developed by Observable. It enables creation of custom dynamic visualizations with features including selections and transitions, scales and axes, shape rendering, interactive behaviors, layout algorithms, and geographic map projections. The library also powers Observable Plot, a high-level visualization API.
The Front End Interview Handbook provides free interview preparation resources for busy engineers, including quiz questions, JavaScript coding questions, algorithms questions and front end system design questions. The content is updated for 2026 and is community-vetted. The site states it is completely free to read.
ml5.js is a JavaScript library providing access to machine learning algorithms and models in the browser, building on TensorFlow.js. It aims to make machine learning approachable for artists, creative coders and students, and is supported by code examples, tutorials and sample data sets. The project is described as currently in development.
Node-SVM is a GitHub repository that provides support vector machine (SVM) implementations for Node.js. The project enables developers to use SVM algorithms within JavaScript applications. It includes installation instructions, a quick start guide, and an API reference. The repository is open source and contributed to by the community.