Open Source Linux Libraries - Page 14
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Alibaba Dragonwell8
Alibaba Dragonwell8 JDK
Over the years, more than a billion lines of Java code have been written in Alibaba. While adopting OpenJDK to run these applications, we have found a need to customize it specifically for large-scale Java application deployments. Our customization has been well-tested in our environment. We are now contributing some of our work into the Java community. Alibaba Dragonwell, as a downstream version of OpenJDK, is the in-house OpenJDK implementation at Alibaba. It is optimized for online e-commerce, financial and logistics applications running on 100,000+ servers. Alibaba Dragonwell is the engine that runs these distributed Java applications in extreme scaling. -
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Allegro
The official Allegro 5 git repository. Pull requests welcome
Allegro 5 is the latest major revision of the Allegro library, designed to take advantage of modern hardware, including hardware acceleration using 3D cards. -
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Article Extractor
To extract main article from given URL with Node.js
A Node.js library for extracting main content from web articles, removing unnecessary clutter like ads and navigation elements. -
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AtomicServer
An open source headless CMS / real-time database
Create, share, fetch, and model Atomic Data! AtomicServer is a lightweight, yet powerful CMS / Graph Database. Atomic Data is a modular specification for sharing, modifying, and modeling graph data. It combines the ease of use of JSON, the connectivity of RDF (linked data), and the reliability of type-safety. Atomic Data uses links to connect pieces of data, and therefore makes it easier to connect datasets to each other - even when these datasets exist on separate machines. -
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Augmentor.jl
A fast image augmentation library in Julia for machine learning
A fast library for increasing the number of training images by applying various transformations. Augmentor is a real-time image augmentation library designed to render the process of artificial dataset enlargement more convenient, less error prone, and easier to reproduce. It offers the user the ability to build a stochastic image-processing pipeline (or simply augmentation pipeline) using image operations as building blocks. In other words, an augmentation pipeline is little more but a sequence of operations for which the parameters can (but need not) be random variables, as the following code snippet demonstrates. -
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Axon
Nx-powered Neural Networks
Nx-powered Neural Networks for Elixir. Axon consists of the following components. Functional API – A low-level API of numerical definitions (defn) of which all other APIs build on. Model Creation API – A high-level model creation API which manages model initialization and application. Optimization API – An API for creating and using first-order optimization techniques based on the Optax library. Training API – An API for quickly training models, inspired by PyTorch Ignite. Axon provides abstractions that enable easy integration while maintaining a level of separation between each component. You should be able to use any of the APIs without dependencies on others. By decoupling the APIs, Axon gives you full control over each aspect of creating and training a neural network. At the lowest-level, Axon consists of a number of modules with functional implementations of common methods in deep learning. -
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Basic Computer Games
An updated version of the classic "Basic Computer Games" book
Basic Computer Games is a modern revitalization of the classic “Basic Computer Games” book’s collection of games, ported and expanded into various modern, memory-safe and scripting languages. It includes illustrative code examples of many classic games (e.g. Blackjack, Bowling) in multiple languages, with the goal of making the historical games accessible and educational in safe modern environments. Definitely use the most recent versions and features of the target language, but also try to keep the code samples simple and explainable – the goal is to teach programming in the target language, not necessarily demonstrate the cleverest one-line tricks, or big system "enterprise" coding techniques designed for thousands of lines of code. -
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Bloaty
Bloaty: a size profiler for binaries
Bloaty is a deep, accurate size profiler for native binaries that tells you where every byte comes from so you can shrink executables and libraries intelligently. It parses binary formats like ELF, Mach-O, and DWARF symbol/debug data without relying solely on toolchain heuristics, letting you attribute size to files, sections, symbols, templates, and even compilation units. Reports can be produced at multiple granularities and diffed across builds to identify regressions introduced by compiler flags, dependencies, or new code paths. The tool is designed to be fast enough for iterative use in developer workflows and CI, making size budgets enforceable rather than aspirational. It also supports data sources such as symbol tables and map files, combining them into coherent, readable breakdowns. Teams use Bloaty to drive systematic size-reduction efforts in embedded, desktop, and mobile software where startup time, memory footprint, or download size matter. -
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Brave
Java distributed tracing implementation compatible with Zipkin backend
Brave is a distributed tracing instrumentation library. Brave typically intercepts production requests to gather timing data, correlate and propagate trace contexts. While typically trace data is sent to Zipkin server, third-party plugins are available to send to alternate services such as Amazon X-Ray. This repository includes dependency-free Java libraries and instrumentation for common components used in production services. For example, this includes trace filters for Servlet and log correlation for Apache Log4J. Brave's dependency-free tracer library works against JRE6+. This is the underlying api that instrumentation use to time operations and add tags that describe them. This library also includes code that parses X-B3-TraceId headers. -
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CO3D (Common Objects in 3D)
Tooling for the Common Objects In 3D dataset
CO3Dv2 (Common Objects in 3D, version 2) is a large-scale 3D computer vision dataset and toolkit from Facebook Research designed for training and evaluating category-level 3D reconstruction methods using real-world data. It builds upon the original CO3Dv1 dataset, expanding both scale and quality—featuring 2× more sequences and 4× more frames, with improved image fidelity, more accurate segmentation masks, and enhanced annotations for object-centric 3D reconstruction. CO3Dv2 enables research in multi-view 3D reconstruction, novel view synthesis, and geometry-aware representation learning. Each of the thousands of sequences in CO3Dv2 captures a common object (from categories like cars, chairs, or plants) from multiple real-world viewpoints. The dataset includes RGB images, depth maps, masks, and camera poses for each frame, along with pre-defined training, validation, and testing splits for both few-view and many-view reconstruction tasks. -
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CPU Info
CPU Info provides information about device hardware and software
CPU Info provides the main information about the hardware and software of your device. -
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Cachex
A powerful caching library for Elixir with support for transactions
Cachex is a high-performance in-memory caching library for Elixir, offering a robust feature set including expirations, size limits, hooks, fallbacks, async operations, and clustering capabilities. The version 4.x release brought optimized janitor routines, modular streaming and querying, runtime cache warming, size pruning (LRW/LRU), distributed routing mechanisms, and a major documentation overhaul. It integrates seamlessly with Elixir applications via mix dependencies, supports advanced transactional use cases, and includes utilities for distributed node clusters. -
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Cats Effect
The pure asynchronous runtime for Scala
Cats-Effect is a high-quality functional programming library for Scala that provides a principled way to represent and manage side effects, particularly asynchronous and concurrent computations. It is part of the broader Typelevel ecosystem and builds on the abstractions from Cats (such as Functor, Monad, etc.). The core abstraction is the IO type (or effect types more generally), which encodes effectful computations in a pure, referentially transparent way. Cats-Effect offers capabilities like deferred execution, cancellation, resource safety (Resource), fiber concurrency (lightweight threads), and interoperation with underlying runtime platforms (JVM, Java concurrency, etc.). It enables developers to write effectful code while preserving composability, purity, and modular reasoning about side effects. -
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Chat UI Kit React
Build your own chat UI with React components in few minutes
Build your own chat UI with React components in a few minutes. The Chat UI Kit from Chatscope is an open-source UI toolkit for developing web chat applications. Tired of struggling with sticky scrollbars, content editable, responsiveness, and CSS hacks? This kit is for you. Headless chat library, React hook for state management in chat applications. -
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CodeIgniter RestServer
RESTful server implementation for CodeIgniter
CodeIgniter RestServer is a fully RESTful server implementation for CodeIgniter using one library, one config file and one controller. CodeIgniter Rest Server is available on Packagist (using semantic versioning), and installation via composer is the recommended way to install Codeigniter Rest Server. Note that you will need to copy rest.php to your config directory (e.g. application/config) -
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Cookbook (Google Gemini)
Examples and guides for using the Gemini API
The Gemini Cookbook is an official repository of examples and guides for using Google’s Gemini API. It provides a structured learning path with quick-start tutorials for beginners and practical examples for advanced users. The repository covers a wide range of Gemini capabilities, including text, images, video, speech, robotics, and multimodal interactions. It highlights newly introduced features such as Gemini 2.5 models (Flash and Pro), Gemini’s native image generation, Veo for video generation, robotics-focused reasoning models, and Lyria for TTS and music generation. The Cookbook also includes tutorials on advanced API workflows such as grounding answers with external tools, batch-mode request handling, and live multimodal interactivity with LiveAPI. Designed as a hands-on resource, it helps developers quickly explore Gemini’s potential while serving as a reference for integrating cutting-edge multimodal AI into applications. -
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Cpp-Peglib
A single file C++ header-only PEG (Parsing Expression Grammars)
cpp-peglib is a single-file, header-only C++17 library for Parsing Expression Grammars (PEG). It enables developers to define grammars and build parsers directly within C++ code without external dependencies. -
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Dependabot
Dependabot's core logic for creating update PR's
Dependabot-Core is the library at the heart of Dependabot security/version updates. Use it to generate automated pull requests updating dependencies for projects written in Ruby, JavaScript, Python, PHP, Dart, Elixir, Elm, Go, Rust, Java and .NET. It can also update git submodules, Docker files, and Terraform files. Check for the latest version of a dependency that's resolvable given a project's other dependencies. Generate updated manifest and lockfiles for a new dependency version. Generate PR descriptions that include the updated dependency's changelogs, release notes, and commits. -
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Discord.js
A powerful JavaScript library for interacting with the Discord API
discord.js is a powerful Node.js module that allows you to interact with the Discord API very easily. It takes a much more object-oriented approach than most other JS Discord libraries, making your bot's code significantly tidier and easier to comprehend. Usability, consistency, and performance are key focuses of discord.js, and it also has nearly 100% coverage of the Discord API. It receives new Discord features shortly after they arrive in the API. -
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Earth Engine API
Python and JavaScript bindings for calling the Earth Engine API
The Earth Engine API provides Python and JavaScript client libraries for Google Earth Engine, a planetary-scale geospatial analysis platform. With it, users compose lazy, server-side computations over massive catalogs of satellite imagery and vector datasets without handling raw files locally. The API exposes functional operators for map algebra, reducers, joins, and machine learning that scale transparently on Earth Engine’s backend. Developers authenticate once, work interactively in notebooks or the Code Editor, and export results to Cloud Storage, Drive, or asset collections. Visualization helpers render tiled layers and charts so analysts can iterate quickly on workflows like land-cover mapping, change detection, or time-series analysis. By combining petabyte-scale data with concise functional transforms, the API turns complex remote-sensing pipelines into reproducible scripts that are easy to share. -
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FairScale
PyTorch extensions for high performance and large scale training
FairScale is a collection of PyTorch performance and scaling primitives that pioneered many of the ideas now used for large-model training. It introduced Fully Sharded Data Parallel (FSDP) style techniques that shard model parameters, gradients, and optimizer states across ranks to fit bigger models into the same memory budget. The library also provides pipeline parallelism, activation checkpointing, mixed precision, optimizer state sharding (OSS), and auto-wrapping policies that reduce boilerplate in complex distributed setups. Its components are modular, so teams can adopt just the sharding optimizer or the pipeline engine without rewriting their training loop. FairScale puts emphasis on correctness and debuggability, offering hook points, logging, and reference examples for common trainer patterns. Although many ideas have since landed in core PyTorch, FairScale remains a valuable reference and a practical toolbox for squeezing more performance out of multi-GPU and multi-node jobs. -
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Faraday
Simple, but flexible HTTP client library, with support for backends
Faraday is an HTTP client library abstraction layer that provides a common interface over many adapters (such as Net::HTTP) and embraces the concept of Rack middleware when processing the request/response cycle. You probably don't want to use Faraday directly in your project, as it will lack an actual client library to perform requests. Instead, you probably want to have a look at Awesome Faraday for a list of available adapters. The best starting point is the Faraday Website, with its introduction and explanation. This library aims to support and is tested against the currently officially supported Ruby implementations. This means that, even without a major release, we could add or drop support for Ruby versions, following their EOL. Currently that means we support Ruby 2.6+. You can also install the faraday_middleware extension gem to access a collection of useful Faraday middleware. -
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Folly
An open-source C++ library developed and used at Facebook
Folly (acronymed loosely after Facebook Open Source Library) is a library of C++14 components designed with practicality and efficiency in mind. Folly contains a variety of core library components used extensively at Facebook. In particular, it's often a dependency of Facebook's other open source C++ efforts and place where those projects can share code. It complements (as opposed to competing against) offerings such as Boost and of course std. In fact, we embark on defining our own component only when something we need is either not available, or does not meet the needed performance profile. We endeavor to remove things from folly if or when std or Boost obsoletes them. Performance concerns permeate much of Folly, sometimes leading to designs that are more idiosyncratic than they would otherwise be (see e.g. PackedSyncPtr.h, SmallLocks.h). Good performance at large scale is a unifying theme in all of Folly. -
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GitHub Markdown CSS
The minimal amount of CSS to replicate the GitHub Markdown
A minimal CSS library replicating GitHub’s Markdown rendering styles. Simply apply github-markdown.css and wrap content in .markdown-body to inherit styling—auto light/dark theme detection with size constraints for responsive layout. -
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GitHub520
Community-maintained approach to improving access to GitHub services
GitHub520 is a community-maintained approach to improving access to GitHub services from regions with network friction by leveraging host mappings. The repository provides a regularly updated list of domain-to-IP entries meant to be appended to a system’s hosts file so certain GitHub endpoints resolve faster or more reliably. It includes scripts or guidance to automate updates, reducing the need for manual lookups when IPs change. The project’s goal is pragmatic: improve developer productivity by mitigating timeouts and slow asset retrieval during cloning, package installs, or browsing. It is intended for users who understand the implications of hosts modifications and want a reversible, client-side tweak. While simple in concept, it has become a widely referenced workaround for network constraints affecting developer workflows.
