30 open-source projects similar to keon/algorithms, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Algorithms alternative.
This project is a comprehensive curriculum for mastering computer science fundamentals and preparing for technical interviews. It provides over 120 interactive Python coding challenges that focus on algorithmic skill development, data structure implementation, and logical problem solving. The learning experience is delivered through a series of executable notebooks that combine instructional content with hands-on coding exercises. Each challenge is self-contained and relies on automated unit tests to verify the correctness of user-implemented solutions against predefined constraints and edge
This project is an educational resource and reference library designed to teach fundamental data structures and algorithmic problem-solving. It provides a structured pedagogical framework that organizes complex technical concepts into a logical progression, helping learners understand how data is organized, stored, and processed to solve computational problems efficiently. The repository distinguishes itself through a multi-language codebase that maintains parallel, consistent implementations of core algorithms and data structures across various programming languages. It bridges the gap betwe
This project is a comprehensive repository of verified computational implementations designed to serve as an educational resource for computer science and algorithmic problem solving. It provides a structured collection of code examples that cover fundamental data structures, mathematical operations, and core programming concepts, allowing users to study the logic and complexity behind various computational methods. The repository distinguishes itself through a modular, reference-based implementation pattern that organizes code into logical namespaces. This approach facilitates independent ex
This project is a comprehensive reference library and preparation guide for Python technical interviews. It combines theoretical guides on computer science fundamentals and language runtime internals with practical implementation examples of algorithms and data structures. The repository serves as a curated knowledge base that maps theoretical interview questions to concrete code snippets. It provides technical analysis of Python language internals, including memory management, garbage collection, and the global interpreter lock, alongside a library of creational and structural software desig
This project is a comprehensive algorithmic learning repository and competitive programming archive designed to support technical interview preparation and software engineering skill development. It provides a structured collection of verified solutions and implementation patterns, enabling developers to master fundamental computer science concepts through systematic practice and study. The repository distinguishes itself through a solution-centric structure that organizes source code by problem category, algorithm type, and data structure. By mapping specific coding challenges to recurring a
This project is a comprehensive technical knowledge base and study guide focused on data structures, algorithms, and computer science fundamentals. It provides a curated collection of tutorials and educational resources designed to support technical growth and academic learning. The repository distinguishes itself through a heavy emphasis on visual learning, utilizing mind maps, diagrams, and illustrated breakdowns to explain complex algorithmic logic. It further supports career readiness by providing a repository of company-specific interview questions and real-world candidate experiences.
This repository is a collection of foundational machine learning models and predictive analysis tools designed for the study of statistical learning methods. It serves as an educational resource that demonstrates the mathematical principles of classic algorithms through direct, first-principles implementation. The project distinguishes itself by constructing models from the ground up, relying on fundamental linear algebra and calculus operations rather than high-level abstraction frameworks. Each algorithm is organized into modular, standalone scripts that mirror the sequence of mathematical
This repository is a curated knowledge base designed to assist developers in preparing for technical job assessments. It serves as a structured reference for fundamental programming concepts, language mechanics, and functional patterns, providing a collection of common questions and conceptual explanations to support professional development in software engineering. The project distinguishes itself through a community-driven approach, where technical content is refined and updated by contributors using a collaborative revision control workflow. It emphasizes functional programming education,
This project serves as a comprehensive resource hub and curated directory for the FastAPI web framework ecosystem. It provides developers with a centralized collection of community-vetted libraries, tools, and best practices designed to support the development, testing, and deployment of scalable web services using modern Python. The repository distinguishes itself by aggregating resources that address the full lifecycle of high-performance API development. It covers essential capabilities including project scaffolding, database integration, and the implementation of real-time communication p
This project is a community-driven knowledge repository designed to assist with professional job search preparation. It provides a structured framework for mastering both behavioral and technical interview evaluations, offering resources to help candidates organize their personal experiences and professional narratives. The repository functions as a comprehensive toolkit for career development, utilizing a hierarchical taxonomy to categorize complex interview concepts. It enables users to study core principles of data structures, algorithms, and system design while simultaneously providing st
This project is a comprehensive collection of computer science implementations and an algorithm tutorial repository. It serves as a study guide and reference for competitive programming, providing executable code examples that demonstrate fundamental algorithmic problem solving and mathematical computation. The library covers a wide range of specialized domains, including cryptography and security primitives, lossless data compression techniques, and computational geometry for spatial analysis. It also features implementations of machine learning models, linear algebra operations, and formal
This project is a comprehensive reference for algorithms and data structures used to solve complex computational problems in competitive programming. It serves as a technical resource for implementing advanced mathematical programming, computational geometry, and graph theory. The repository provides detailed implementation guides for diversifying algorithmic techniques, including top-down and bottom-up dynamic programming optimization, number theory, and linear algebra. It features specific guides for complex tasks such as constructing planar graphs, solving linear Diophantine equations, and
This project is a curated knowledge repository that serves as a comprehensive directory for computer science education, focusing on algorithms and data structures. It provides a structured index of resources designed to assist developers in mastering computational problem-solving techniques, ranging from fundamental theory to advanced applications. The directory distinguishes itself by aggregating diverse learning materials, including interactive visualization tools, competitive programming platforms, and technical interview preparation guides. By organizing these resources into a hierarchica
This project is an educational repository and collection of algorithms implemented in C++. It provides a structured set of code examples covering mathematics, computer science, and physics for reference and learning. The collection includes implementations of data structures for managing hierarchical and linear data, such as binary search trees and AVL trees. It also features simulations of computer science concepts, including CPU scheduling and the resolution of combinatorial puzzles. The repository further covers cryptographic examples through the implementation of classic encryption and e
This project is a curated directory and reference library of open-source Python applications. It serves as a comprehensive index designed to help developers study real-world software architecture, design patterns, and practical implementation strategies through a diverse collection of community-driven projects. The repository distinguishes itself by focusing on the analysis of production-ready software patterns rather than providing a single tool. It offers a structured way to explore how complex features, such as modular plugin systems, configuration management, and various deployment strate
This project is a comprehensive, community-curated directory that organizes a vast landscape of Python software libraries, frameworks, and tools. It serves as a centralized knowledge base designed to facilitate ecosystem navigation and accelerate developer discovery across the entire software development lifecycle. The directory distinguishes itself by providing a structured index of resources categorized by technical domain, ranging from foundational development utilities to specialized engineering fields. It covers high-level capabilities including artificial intelligence, data science, web
A list of programming tutorials in which aspiring software developers learn how to build an application from scratch. These tutorials are divided into different primary programming languages. Tutorials may involve multiple technologies and languages.
This project is a curated educational resource and solution repository for algorithmic challenges, specifically focused on LeetCode problems. It serves as a technical reference for common data structures and algorithmic patterns, providing verified code implementations across multiple programming languages alongside detailed logic and complexity analysis. The repository functions as a comprehensive study guide for competitive programming and technical interview preparation. It includes specialized learning tools such as an Anki flashcard dataset for spaced repetition and a browser extension t
This project is a comprehensive reference guide for computer science fundamentals, providing structured summaries of essential data structures and algorithmic principles. It serves as a technical resource for developers to review core programming concepts, memory layouts, and operational characteristics required for software development and technical assessments. The collection distinguishes itself by offering concise, implementation-focused documentation for a wide range of standard techniques. It covers the mechanics of various sorting and searching algorithms, graph and tree traversal stra
This project is a curated collection of technical reference materials and study guides designed for machine learning interview preparation. It provides comprehensive resources for candidates pursuing engineering roles, focusing on deep learning, production infrastructure, and large-scale system design. The repository distinguishes itself through an architecture that combines theoretical research with industrial case studies. It utilizes a pattern-based approach to system design, breaking down complex deployments—such as recommendation engines, search ranking, and ad click prediction—into reus
This project is a curated directory of resources, extensions, and themes designed to extend the functionality of the Visual Studio Code editor. It serves as a comprehensive index for developers seeking to enhance their coding environment, offering a structured collection of community-driven tools that streamline development workflows and improve editor productivity. The directory distinguishes itself by organizing a vast ecosystem of plugins into logical categories, ranging from language-specific intelligence and version control integrations to advanced productivity utilities. It highlights t
This project is an educational repository containing a comprehensive collection of classic computer science algorithms and data structures implemented in Java. It serves as a community-driven learning resource designed to help students and developers study fundamental computational problems and practice idiomatic syntax through clean, well-documented code examples. The repository distinguishes itself by using decoupled logic encapsulation, which isolates individual algorithmic implementations into independent classes to ensure modularity. It further enforces standardized method signatures acr
This project is a computer science educational resource and a library of common data structures and algorithms implemented in Swift. It serves as a practical reference for studying complexity and efficiency through solved algorithmic problems and conceptual guides. The collection includes implementations of linear and hierarchical data structures, such as stacks, queues, linked lists, and trees. It covers a wide range of computational patterns, including graph and pathfinding implementations, mathematical numerical methods, and data compression techniques. The project also provides implement
OpenFaaS is a serverless function platform that provides a container-native framework for deploying and managing event-driven code. It functions as an abstraction layer over container orchestrators, allowing developers to package code into scalable functions that run across Kubernetes clusters or edge computing environments. The platform distinguishes itself through a developer-centric runtime that utilizes standardized language templates and automated build pipelines to simplify the creation of container images. It features a central API gateway that manages request routing, authentication,
Barrier is a network-based software utility that functions as a keyboard and mouse switch, allowing a single set of input peripherals to control multiple computers. By capturing raw hardware signals at the system level, it redirects input events across a local network to create a unified workspace across distinct physical displays and operating systems. The project operates as a client-server system that maintains persistent network connections to route input data. It distinguishes itself by normalizing disparate hardware signals into a unified internal format, enabling consistent interaction
This repository is a comprehensive collection of data structures and algorithms implemented in JavaScript, designed primarily as an educational resource for computer science study and technical interview preparation. It provides modular implementations of fundamental programming concepts, allowing developers to explore algorithmic logic and data organization through self-contained, verifiable code examples. The library distinguishes itself by pairing every implementation with formal Big O notation, providing predictable insights into time and space scaling requirements. Each algorithm is stru
This project is a curated knowledge repository designed to support the professional development of software engineers. It functions as a comprehensive index of industry best practices, methodologies, and design principles, providing a structured roadmap for those seeking to improve their technical skills, architectural decision-making, and career trajectory. The repository distinguishes itself through a community-driven approach, relying on peer-reviewed contributions to maintain an up-to-date collection of resources. It organizes vast amounts of technical information into a hierarchical taxo
V is a statically typed, compiled programming language designed for high-performance systems development. It prioritizes memory safety and execution speed by enforcing strict type checking and immutable defaults, while generating native machine code for multiple hardware architectures. The language is built around an integrated toolchain that includes a compiler, package manager, formatter, and testing utilities within a single executable, facilitating rapid development cycles. What distinguishes V is its focus on developer productivity and interoperability. It provides a direct interface for