Data Structures
Showing 36 of 377 projects
A comprehensive collection of Python algorithm implementations for educational purposes.
A comprehensive collection of JavaScript implementations of algorithms and data structures with detailed explanations.
A curated collection of technical interview question lists across programming languages, frameworks, databases, and CS topics.
A curated collection of technical interview question lists across programming languages, frameworks, databases, and CS fundamentals.
A curated collection of technical interview question lists covering programming languages, frameworks, databases, and CS fundamentals.
A curated collection of technical interview question lists across programming languages, frameworks, databases, and CS topics.
An in-memory data structure store used as a cache, database, message broker, and vector query engine for real-time applications.
120+ interactive Python coding interview challenges with Anki flashcards, focusing on algorithms and data structures.
Algorithms and data structures in Swift, with explanations!
A collection of popular algorithms and data structures implemented in Swift with detailed explanations.
A high-performance, open-source distributed key-value database optimized for caching and real-time workloads.
Minimal, clean, and well-documented implementations of data structures and algorithms in Python 3.
A curated collection of resources for learning and practicing algorithms, from beginner tutorials to competitive programming.
A curated collection of resources for learning and practicing algorithms, from beginner tutorials to competitive programming.
A Java client and real-time data platform for Valkey and Redis, providing distributed Java objects, collections, and services.
A comprehensive collection of LeetCode problem solutions in C++, Java, and Python.
A comprehensive collection of data structures and algorithms implemented in Go, including lists, sets, maps, trees, stacks, and queues.
A curated collection of resources for competitive programming, algorithms, and data structures.
A fast, industrial-strength, lock-free concurrent queue for C++11 supporting multi-producer and multi-consumer patterns.
A curated list of single-file C/C++ libraries with minimal dependencies and permissive licenses.
A Rust library providing a comprehensive toolkit of concurrent data structures, synchronization primitives, and memory management utilities.
A VS Code extension that visualizes data structures and expressions during debugging with interactive visualizations.
A command-line tool and library for querying, modifying, and converting data across JSON, YAML, TOML, XML, CSV, HCL, and INI formats.
A collection of useful, performant, and threadsafe data structures implemented in Go.
A collection of over 230 pure-Python utilities that extend the standard library with missing functionality.
A deep pretty printer for Go data structures to aid in debugging with configurable output formats.
A collection of 180+ algorithm and data structure problems implemented in C++ and Python for learning and interview preparation.
An open-source flash card collection for algorithms, data structures, and system design interview preparation.
A C library for heap-allocated strings that are binary safe, efficient, and compatible with standard C string functions.
A collection of classic algorithms and data structures implemented as single-header C++ files with demo programs.
A comprehensive, efficient, and reusable utility function library for Go with 700+ functions.
A collection of Swift solutions to LeetCode algorithm problems, following the RayWenderlich Swift style guide.
A lightweight, fast, and reliable key/value storage engine based on the Bitcask log-structured storage model.
A standalone, lightweight C library providing highly efficient generic data structures and algorithms with minimal dependencies.
A generic, battle-tested set collection for Go, providing Python-like set operations for comparable types.
An open-source cheat sheet and coding challenges for technical interview preparation, covering data structures and algorithms.
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