Open Source Linux Libraries - Page 31
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JavaScript Algo and Data Structures
Algorithms and data structures implemented in JavaScript
javascript-algorithms is an open source repository by Oleksii Trekhleb that provides implementations of algorithms and data structures in JavaScript. Each algorithm includes explanations, complexity analysis, and references for further reading, making it both a coding resource and a study guide. The repository covers topics such as sorting, searching, graph algorithms, cryptography, and data structures like linked lists, stacks, and queues. It is designed to help developers understand algorithm fundamentals and practice problem-solving with JavaScript. Multilingual README files make the resource accessible to a global audience. With strong community engagement, it is one of the most popular algorithm repositories on GitHub. -
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JavaScript and React Patterns
Repo related to the FrontendMasters course on JavaScript and React
JavaScript and React Patterns showcases idiomatic patterns and anti-patterns for building React applications, focusing on readability, performance, and maintainability. It translates fuzzy best practices into concrete examples—how to compose components cleanly, manage state thoughtfully, and avoid foot-guns with effects and memoization. The guidance leans on modern React paradigms like hooks, context, custom hooks, and component composition to replace older, heavier patterns. Performance considerations appear throughout, such as when to memoize, how to minimize re-renders, and where to split components. Each example is concise and focused, making it easy to apply to real codebases without wading through long essays. The result is a practical field guide you can reference during code reviews or when sketching a component architecture. -
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Jupyter Nbextensions Configurator
A jupyter notebook serverextension providing config interfaces
A server extension for jupyter notebook which provides configuration interfaces for notebook extensions (nbextensions). The jupyter_nbextensions_configurator jupyter server extension provides graphical user interfaces for configuring which nbextensions are enabled (load automatically for every notebook). In addition, for nbextensions which include an appropriate yaml descriptor file (see below), the interface also renders their markdown readme files, and provides controls to configure the nbextensions' options. -
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KAndroid
Kotlin library for Android
Kotlin library for Android provides useful extensions to eliminate boilerplate code in Android SDK and focus on productivity. -
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Karpathy-Inspired Claude Code Guidelines
A single CLAUDE.md file to improve Claude Code behavior
Karpathy-Inspired Claude Code Guidelines is a curated learning and experimentation repository inspired by the work and teaching philosophy of Andrej Karpathy, designed to help learners build practical competence in deep learning, neural networks, and AI infrastructure. The project organizes a progressive path through exercises, notebooks, code examples, and practical mini-projects that echo Karpathy’s approach to “learning by doing,” where students build core concepts from first principles rather than consuming superficial abstractions. It covers topics like implementing backpropagation from scratch, understanding convolutional and recurrent networks, building simple training loops, and exploring real datasets with hands-on code. This collection makes abstract theoretical ideas concrete by walking learners through real code and tangible outcomes, helping demystify parts of machine learning that often feel opaque in purely textbook settings. -
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Keybase client
Keybase Go library, client, service, OS X, iOS, Android, Electron
Keybase is secure messaging and file-sharing. We use public key cryptography to ensure your messages stay private. Even we can’t read your chats. Keybase works for families, roommates, clubs, and groups of friends, too. Keybase connects to public identities, too. You can connect with communities from Twitter, Reddit, and elsewhere. Don’t live dangerously when it comes to documents. Keybase can store your group’s photos, videos, and documents with end-to-end encryption. You can set a timer on your most sensitive messages. This distribution includes cryptographic software. The country in which you currently reside may have restrictions on the import, possession, use, and/or re-export to another country, of encryption software. BEFORE using any encryption software, please check your country's laws, regulations and policies concerning the import, possession, or use, and re-export of encryption software. -
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Kornia
Open Source Differentiable Computer Vision Library
Kornia is a differentiable computer vision library for PyTorch. It consists of a set of routines and differentiable modules to solve generic computer vision problems. At its core, the package uses PyTorch as its main backend both for efficiency and to take advantage of the reverse-mode auto-differentiation to define and compute the gradient of complex functions. Inspired by existing packages, this library is composed by a subset of packages containing operators that can be inserted within neural networks to train models to perform image transformations, epipolar geometry, depth estimation, and low-level image processing such as filtering and edge detection that operate directly on tensors. With Kornia we fill the gap between classical and deep computer vision that implements standard and advanced vision algorithms for AI. Our libraries and initiatives are always according to the community needs. -
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LLM Datasets
Curated list of datasets and tools for post-training
LLM Datasets curates and standardizes datasets commonly used to train and fine-tune large language models, reducing the overhead of hunting down sources and normalizing formats. The repository aims to make datasets easy to inspect and transform, with scripts for downloading, deduping, cleaning, and converting to formats like JSONL that slot into training pipelines. It highlights instruction-tuning and conversation-style corpora while also pointing to code, math, or domain-specific sets for targeted capabilities. Quality is a recurring theme: examples and utilities help filter low-value samples, enforce length limits, and split train/validation consistently so results are comparable. Licensing and provenance are surfaced to encourage compliant usage and to guide dataset selection in commercial settings. For practitioners, the repo is a practical “starting pantry” that accelerates experimentation and helps keep data wrangling from dominating the project timeline. -
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LLM Tornado
The .NET library to build AI agents with 30+ built-in connectors
LLM Tornado is a provider-agnostic .NET SDK designed to build, orchestrate, and deploy AI agents and workflows with a strong focus on flexibility and integration. It provides a unified interface that connects to more than 30 AI providers and vector databases, allowing developers to switch between models and services without rewriting application logic. The framework introduces a powerful orchestration system based on graph-like structures, where agents, tasks, and transitions can be defined and executed in parallel or sequential flows. It supports multimodal inputs and outputs, including text, images, audio, and documents, making it suitable for a wide range of AI applications. LLMTornado also integrates advanced protocols such as Model Context Protocol and agent-to-agent communication, enabling complex interactions between systems. With built-in support for local deployments, enterprise guardrails, and observability features. -
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LMAX Disruptor
High performance inter-thread messaging library
LMAX aims to be the fastest trading platform in the world. Clearly, in order to achieve this we needed to do something special to achieve very low-latency and high-throughput with our Java platform. Performance testing showed that using queues to pass data between stages of the system was introducing latency, so we focused on optimising this area. The Disruptor is the result of our research and testing. We found that cache misses at the CPU-level, and locks requiring kernel arbitration are both extremely costly, so we created a framework which has "mechanical sympathy" for the hardware it’s running on, and that’s lock-free. This is not a specialist solution, it’s not designed to work only for a financial application. The Disruptor is a general-purpose mechanism for solving a difficult problem in concurrent programming. It works in a different way to more conventional approaches, so you use it a little differently than you might be used to. -
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Lagom
Reactive Microservices for the JVM
The opinionated microservices framework for moving away from the monolith. Lagom helps you decompose your legacy monolith and build, test, and deploy entire systems of Reactive microservices. Lagom is an open source framework for building systems of Reactive microservices in Java or Scala. Lagom builds on Akka and Play, proven technologies that are in production in some of the most demanding applications today. Lagom's integrated development environment allows you to focus on solving business problems instead of wiring services together. A single command builds the project, starts supporting components and your microservices, as well as the Lagom infrastructure. The build hot-reloads when it detects changes to source code. -
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Learning-SICP
Collection of Chinese cultural projects and course learning materials
Learning-SICP is a community project that localizes the MIT course “Structure and Interpretation of Computer Programs” (SICP) and curates complementary study materials for learners, especially Chinese-speaking Scheme/Lisp students. It focuses on translating the official lecture subtitles into Chinese while preserving the original English content for reference, providing an approachable path to a classic foundational course in computer science. The repository organizes translated subtitles, lecture indices, and supporting documents so learners can follow along with the full video series and consult the book and related readings as they study. Beyond subtitles, it aggregates links to the SICP text, environment setup guides, extended exercises, and FAQ resources to smooth first-time setup and deepen understanding of the material. -
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LeetCode Master
About "Code Thoughts" LeetCode Practice Guide: 200 classic questions
leetcode-master is a comprehensive collection of LeetCode solutions written in C++ and organized as a structured learning path for coding interview preparation. The repository contains detailed explanations, categorized problem sets, and step-by-step reasoning behind solutions, making it an effective study companion for developers preparing for technical interviews. Problems are grouped by topic—such as arrays, linked lists, dynamic programming, greedy algorithms, and graph theory—so learners can focus on specific areas systematically. Each solution is accompanied by clear commentary to explain the thought process, algorithm design, and complexity analysis. The project is continuously updated and widely used by learners as both a reference and a roadmap to progress from beginner to advanced LeetCode practice. With its thorough coverage and educational style, leetcode-master helps programmers build strong problem-solving skills and confidence for competitive programming. -
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Lightweight-Stream-API
Stream API from Java 8 rewritten on iterators for Java 7 and below
Stream API from Java 8 rewritten on iterators for Java 7 and below. -
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Linguist
Detect blob languages, suppress generated files and generate graphs
This library is used on GitHub.com to detect blob languages, ignore binary or vendored files, suppress generated files in diffs, and generate language breakdown graphs. Linguist is a Ruby library so you will need a recent version of Ruby installed. There are known problems with the macOS/XCode supplied version of Ruby that causes problems installing some of the dependencies. Accordingly, we highly recommend you install a version of Ruby using Homebrew, rbenv, rvm, ruby-build, asdf or other packaging system, before attempting to install Linguist and the dependencies. Linguist uses charlock_holmes for character encoding and rugged for libgit2 bindings for Ruby. These components have their own dependencies. A repository's languages stats can also be assessed from the command line using the github-linguist executable. Without any options, github-linguist will output the breakdown that correlates to what is shown in the language stats bar. -
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LiteBox
A security-focused library OS supporting kernel execution
LiteBox is a security-focused “library OS” sandboxing project that aims to shrink the interface between an application and its host environment to reduce attack surface. Instead of relying solely on broad OS-level permissions, it focuses on isolating workloads by tightly controlling the boundary where code interacts with host services and system resources. The design emphasizes interoperability across different integration layers, describing a separation between “North” shims (how apps or runtimes plug in) and “South” platforms (where the sandbox runs), which helps the system adapt to multiple deployment contexts. A key aspect of the project is that it targets both kernel-mode and user-mode scenarios, enabling experimentation with different trust and performance tradeoffs. The repository positions LiteBox as a foundation for building hardened execution environments where untrusted or semi-trusted components can run with reduced privileges and a minimized host interface. -
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MIME Component
Allows manipulating MIME messages
Symfony Mime is a component that facilitates the creation, manipulation, and parsing of MIME messages. It is commonly used for handling email content and attachments in Symfony applications. The component supports building complex email structures, including multi-part messages, and correctly encoding text and binary data. Mime is an essential part of Symfony Mailer but can be utilized independently to handle MIME message generation. -
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MIT License
Hosted MIT License with details controlled through this repo
The MIT License repository is a simple GitHub project that hosts the full text of the MIT License and provides a stable reference for developers who want to include permissive licensing details in their work. The MIT License itself is one of the most widely used open-source licenses because it allows reuse, modification, distribution, and even proprietary use, as long as copyright notices and license texts are preserved. This repository offers an easy way to copy the license text, understand its legal language, and see example usage in a context that is separate from any specific software project. It can also be useful for automated tooling and templates where a standard license file is needed across multiple repositories or as part of a code generation process. While not a software library or application, the repository serves an important role in open-source governance by centralizing a commonly adopted license with clear formatting. -
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MIVisionX
Set of comprehensive computer vision & machine intelligence libraries
MIVisionX toolkit is a set of comprehensive computer vision and machine intelligence libraries, utilities, and applications bundled into a single toolkit. AMD MIVisionX delivers highly optimized open-source implementation of the Khronos OpenVX™ and OpenVX™ Extensions along with Convolution Neural Net Model Compiler & Optimizer supporting ONNX, and Khronos NNEF™ exchange formats. The toolkit allows for rapid prototyping and deployment of optimized computer vision and machine learning inference workloads on a wide range of computer hardware, including small embedded x86 CPUs, APUs, discrete GPUs, and heterogeneous servers. AMD OpenVX is a highly optimized open-source implementation of the Khronos OpenVX™ 1.3 computer vision specification. It allows for rapid prototyping as well as fast execution on a wide range of computer hardware, including small embedded x86 CPUs and large workstation discrete GPUs. -
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MLX42
Codam's own fixed, functioning alternative of the miniLibX
MLX42 is a modern C graphics and windowing library built on top of GLFW and inspired by the original MLX library used in 42 school projects. It aims to provide a higher-level, beginner-friendly abstraction for students learning about graphical programming, while also embracing modern practices like event-driven input, texture rendering, and transparency. MLX42 is structured to reduce boilerplate and simplify the creation of games or interactive applications in C, making it an excellent learning and teaching tool for graphics programming fundamentals. -
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Malicious PDF Generator
Generate a bunch of malicious pdf files with phone-home functionality
Generate ten different malicious PDF files with phone-home functionality. Can be used with Burp Collaborator or Interact.sh. Used for penetration testing and/or red-teaming etc. I created this tool because I needed a third-party tool to generate a bunch of PDF files with various links. -
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MarvelHeroes
A sample Marvel heroes application based on MVVM
MarvelHeroes is a demo application based on modern Android application tech-stacks and MVVM architecture. Fetching data from the network and integrating persisted data in the database via repository pattern. -
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MaterialFX
A library of material components for JavaFX
MaterialFX is an open-source Java library that provides material design components for JavaFX. JavaFX is a software platform intended to replace Swing in creating and delivering rich client applications that operate consistently across diverse platforms. With the release of JDK 11 in 2018, Oracle has made JavaFX part of the OpenJDK under the OpenJFX project in order to increase the pace of its development. -
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Matter
Material Design Components in Pure CSS
Material Design Components in Pure CSS. Materializing HTML at just one class per component. -
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Mechanize
Mechanize is a ruby library that makes automated web interaction easy
The Mechanize library is used for automating interaction with websites. Mechanize automatically stores and sends cookies, follows redirects, and can follow links and submit forms. Form fields can be populated and submitted. Mechanize also keeps track of the sites that you have visited as a history. This library was heavily influenced by its namesake in the Perl world. Mechanize#transact runs the given block and then resets the page history. I.e. after the block has been executed, you're back at the original page; no need to count how many times to call the back method at the end of a loop (while accounting for possible exceptions).
