Open-source alternatives to Hustoj

This project provides a secure, containerized execution engine designed to run untrusted code within isolated environments. It functions as a library for integrating code interpretation into autonomous agents and intelligent assistant workflows, ensuring that host systems remain protected while enabling dynamic data processing and file manipulation. The platform distinguishes itself through a multi-backend architecture that abstracts diverse container runtimes, allowing for flexible deployment and automated backend failover. It supports interactive, multi-turn workflows by maintaining persist

CTFs as you need them

fbctf is a Capture The Flag platform designed for hosting cybersecurity competitions. It provides a scoring engine to track participant progress and an orchestration tool to manage the transition from event configuration to an active state. The system utilizes a containerized deployment framework to launch the infrastructure and environments required for live events. It includes an identity integration that authenticates participants via external directory servers to provide organization-wide access control. The platform covers the administration of competition content and security goals, te

This project is a capture the flag platform and cybersecurity training environment. It provides a framework for deploying security challenges and tracking participant progress through a real-time scoring leaderboard. The platform serves as a security competition scoreboard and management system, hosting intentionally vulnerable infrastructure for practicing reverse engineering and software exploitation techniques. It manages the discovery of secret strings within these puzzles to determine team rankings. The system covers cybersecurity competition management, security challenge deployment, a

This project is an educational code repository providing a curated collection of common algorithms and data structures implemented in JavaScript. It serves as a reference library and a study resource for learning computer science concepts and foundational programming principles. The repository focuses on the practical implementation of standard data structures and algorithmic patterns. It provides a codebase for studying computational problem-solving and practicing the technical requirements often found in software engineering interviews. The codebase covers core data structure implementatio

This is a collection of classic computer science algorithms and data structures implemented from scratch in JavaScript. The project provides reference implementations of fundamental concepts including sorting algorithms, binary search, linked lists, and binary search trees, all built as standalone pure functions with no external dependencies. The implementations cover a range of data structures, including singly-linked, doubly-linked, and circular linked lists with full traversal and mutation operations, as well as binary search trees supporting insertion, deletion, and search. Sorting algori

CS-Xmind-Note is a collection of structured mind maps and conceptual diagrams serving as a comprehensive knowledge base for computer science fundamentals. It functions as an academic reference and study guide, organizing core subjects into a visual mapping of interdependent technical concepts. The project utilizes an XMind-compatible schema to model complex domains through hierarchical nodes and relational concept mapping. This approach allows for the visual representation of technical layers, linking hardware specifications to software abstractions. The knowledge base covers several primary

This project is a computer science educational resource and data structures reference library. It serves as a technical study repository containing a collection of fundamental algorithms and data structures, pairing conceptual notes with practical code implementations. The resource is organized as an algorithm implementation guide and a structured knowledge base. It provides a modular set of reference implementations for sorting, searching, and graph traversal, with materials arranged to follow academic curriculum progression. The repository covers a broad range of computer science education

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

This repository is a comprehensive educational resource for mastering fundamental computer science concepts through Python. It provides a structured collection of source code implementations for classic data structures and algorithms, serving as a practical guide for building technical proficiency and preparing for coding interviews. The project distinguishes itself by integrating visual aids and diagrams that map complex execution steps to clarify how data structures function. This visual approach is paired with a rigorous automated unit testing framework, which validates the correctness of

This repository serves as an educational resource for computer science concepts, providing a collection of fundamental data structures and algorithmic patterns implemented in Python. It functions as a programming reference for developers seeking to understand standard software engineering patterns and data manipulation strategies. The project focuses on the construction of essential storage formats, including arrays, graphs, hash tables, linked lists, stacks, and queues. It also provides implementations for standard algorithmic techniques such as dynamic programming, recursion, sorting, and g

This repository is a collection of reference implementations for fundamental data structures and computational algorithms written in Python. It serves as an educational resource for students and software engineers to study core computer science concepts through practical, modular code examples. The project focuses on the construction of essential data structures, including trees, heaps, stacks, and tries, alongside standard algorithms for searching, sorting, and graph traversal. By utilizing language-idiomatic data modeling and standardized interface designs, the implementations provide a con

This project is a specialized collection of study guides, curriculum references, and implementation libraries designed for computer science academic certifications. It serves as a comprehensive study guide and preparation kit for the Chinese postgraduate computer science entrance examination, providing a curated reference for the core curriculum. The repository distinguishes itself by combining theoretical study materials with a practical data structure implementation library. This includes standard C code templates for fundamental structures such as linked lists, stacks, queues, and binary t

NGINX Unit is an open-source application server designed to natively execute code across multiple programming language runtimes and WebAssembly within a single process. It serves as a multi-language application server that can run applications written in Go, Java, Node.js, Perl, PHP, Python, Ruby, and WebAssembly side by side, without requiring separate runtime environments for each language. The server distinguishes itself through a RESTful JSON control API that enables dynamic, zero-downtime configuration changes without restarting the server. It combines event-driven asynchronous I/O with

This project consists of technical instructional guides and a structured computer science curriculum designed to teach the construction of a full computing stack from transistors up to a web browser. It provides a 12-week educational course that covers the fundamental domains of computer architecture and digital logic design. The curriculum is distinguished by its first-principles approach, guiding the learner through the engineering of CPUs, FPGAs, and PCBs using digital logic and hardware description languages. It includes specific syllabi for building a hardware design, a TCP/IP network st

This repository serves as a comprehensive educational resource and technical reference for implementing fundamental data structures and algorithms using JavaScript. It provides a structured guide to mastering core computer science concepts, focusing on the practical application of data organization techniques and problem-solving strategies within the JavaScript ecosystem. The materials cover the implementation of essential storage patterns, including linked lists, trees, and graphs, alongside the analysis of algorithmic efficiency. By evaluating execution time and memory usage through asympto

This project is a comprehensive study kit and resource archive for the Structure and Interpretation of Computer Programs (SICP) course. It serves as a curated learning path for studying functional programming and the fundamentals of program construction, providing a centralized directory of textbooks, tutorials, and instructional materials. A primary focus of the repository is multilingual accessibility, specifically providing Chinese translations of English lecture subtitles and transcripts. These translated resources are mirrored across multiple video hosting platforms and cloud storage pro

Data engineering practice repository providing tutorials, distributed processing engines, and Python data pipeline automation scripts. The system encompasses automated data validation, distributed compute aggregation, embedded columnar querying, lazy evaluation planning, partitioned storage export, and cloud storage retrieval. The capability surface covers cloud integration and storage, data engineering and pipelines, data processing and analytics, data quality and testing, database and storage, file management, and monitoring and observability.

This repository is a collection of standard computer science algorithms and data structure implementations written in Java. It serves as a learning resource for developers to study fundamental programming concepts, efficient logic management, and common problem-solving techniques. The project organizes these solutions into modular, independent components that utilize the Java standard library and static type system. Each implementation is verified through unit tests, ensuring that the code adheres to expected outcomes for various mathematical and logical operations. The collection covers a b

This project is a comprehensive collection of common computer science algorithms and data structures implemented in Swift. It serves as an educational reference and library for studying computational complexity, algorithmic logic, and data structure engineering through practical code examples. The repository provides a wide suite of data structure implementations, including various types of linked lists, heaps, hash tables, and an extensive range of hierarchical trees such as Red-Black, B-Tree, and Splay trees. It also covers diverse sorting and searching techniques, from basic bubble sort to

Algorithmica is an open-access knowledge base and computer science textbook designed for the publication of structured instructional materials. It functions as an educational content management system and a collaborative documentation site for hosting technical knowledge and course drafts for public consumption. The platform enables collaborative technical writing and authoring through version control and web editors, utilizing an automated pipeline to generate previews of pending changes. The system manages large collections of learning materials using static site generation, markdown-drive

This project is an educational repository providing a comprehensive collection of verified source code for fundamental data structures and classic algorithms. It serves as a resource for academic study, offering standard implementations of containers such as lists, stacks, queues, and trees, alongside core computational logic patterns like string matching, tree traversal, and graph pathfinding. The repository distinguishes itself by focusing on the low-level mechanics of software, including explicit memory management and resource allocation strategies. It demonstrates these concepts through s

This project is a library and educational resource providing implementations of foundational computer science data structures and algorithms written in JavaScript and TypeScript. It serves as a reference for executing standard sorting, searching, and recursive patterns using modern web technologies. The collection includes typed implementations for both basic containers, such as stacks, queues, and linked lists, and advanced organizational patterns, including trees, heaps, tries, and graphs. The material covers algorithmic analysis and problem solving through the use of Big O notation to eva

This repository serves as a comprehensive collection of standard computer science algorithms and data structures implemented in the Go programming language. It functions as an educational resource for developers to study idiomatic code examples and master fundamental computational logic through practical, hands-on implementation. The project provides a reference for building and utilizing essential storage containers, such as linked lists, heaps, and hash maps, to organize information efficiently. It also includes a suite of proven mathematical algorithms for performing complex numerical calc

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 serves as an educational resource for mastering fundamental computer science algorithms and data structures. It functions as a learning platform that combines code examples with instructional content to help developers and students build a foundation in programming logic and computational thinking. The repository distinguishes itself through a visual-first pedagogical approach, utilizing high-resolution diagrams to map abstract algorithmic logic into concrete mental representations. These materials are structured to support instructors in classroom settings while providing learne

This project provides a structured computer science curriculum framework designed for self-directed learners. It organizes open-access academic resources, including textbooks, lectures, and assignments, into a cohesive path that mirrors the requirements of a formal undergraduate degree. By integrating theoretical study with practical software engineering methodologies, the platform enables students to master foundational concepts and advanced technical skills independently. The curriculum distinguishes itself by utilizing a version-control-based workflow to manage the educational experience.