Open Source Linux Libraries - Page 36
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Libraries for Linux
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GetWidget
Most popular and easy to use open source UI library
GetWidget is an open‑source Flutter UI toolkit offering over 1000 ready‑to‑use widgets for mobile and web apps. Maintained by IonicFirebaseApp, it's designed to accelerate UI development, reduce boilerplate, and improve app aesthetics. The library is MIT‑licensed, community‑driven, and features components ranging from buttons and alerts to carousels and loaders. -
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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. -
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Go Tools
Various packages and tools that support the Go programming language
This subrepository holds the source for various packages and tools that support the Go programming language. Some of the tools, godoc and vet for example, are included in binary Go distributions. Others, including the Go guru and the test coverage tool, can be fetched with go get. Packages include a type-checker for Go and an implementation of the Static Single Assignment form (SSA) representation for Go programs. This repository uses prettier to format JS and CSS files. The version of prettier used is 1.18.2. It is encouraged that all JS and CSS code be run through this before submitting a change. However, it is not a strict requirement enforced by CI. This repository uses Gerrit for code changes. -
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GoDotEnv
A Go port of Ruby's dotenv library
A Go (golang) port of the Ruby dotenv project (which loads env vars from a .env file). Storing configuration in the environment is one of the tenets of a twelve-factor app. Anything that is likely to change between deployment environments–such as resource handles for databases or credentials for external services–should be extracted from the code into environment variables. But it is not always practical to set environment variables on development machines or continuous integration servers where multiple projects are run. Dotenv load variables from a .env file into ENV when the environment is bootstrapped. It can be used as a library (for loading in env for your own daemons etc) or as a bin command. There is test coverage and CI for both linuxish and windows environments, but I make no guarantees about the bin version working on windows. Existing envs take precedence of envs that are loaded later. -
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Gonum
Set of numeric libraries for the Go programming language
Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more. Gonum is a set of packages designed to make writing numerical and scientific algorithms productive, performant, and scalable. Gonum contains libraries for matrices and linear algebra; statistics, probability distributions, and sampling; tools for function differentiation, integration, and optimization; network creation and analysis; and more. We encourage you to get started with Go and Gonum if you are tired of sluggish performance, and fighting C and vectorization, and also if you are struggling with managing programs as they grow larger. Get Gonum if you want code to be fully transparent, and want the ability to read the source code you use. It is useful if you’d like a compiler to catch mistakes early, but hate fighting linker and unintelligible compile errors. -
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Google CTF
Google CTF
Google CTF is the public repository that houses most of the challenges from Google’s Capture-the-Flag competitions since 2017 and the infrastructure used to run them. It’s a learning and practice archive: competitors and educators can replay tasks across categories like pwn, reversing, crypto, web, sandboxing, and forensics. The code and binaries intentionally contain vulnerabilities—by design—so users can explore exploit chains and patching in realistic settings. The repo also includes infrastructure components and links to a scoreboard implementation, giving organizers reference material for hosting their own events. As a living archive, it documents changes in exploitation trends and defensive techniques year over year. Clear warnings advise against deploying challenge infrastructure in production due to purposeful insecurities. -
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Gradle Advanced Build Version Plugin
A plugin to generate the Android version code and version name
A plugin to generate the Android version code and version name automatically based on git commits number, date and Semantic Versioning. -
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HaishinKit
Camera and Microphone streaming library via RTMP and SRT for iOS, Mac
Camera and Microphone streaming library via RTMP and SRT for iOS, macOS, tvOS and visionOS. -
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Helidon
Java libraries for writing microservices
Helidon is a cloud-native, open‑source set of Java libraries for writing microservices that run on a fast web core powered by Netty. Helidon Níma is the first Java microservices framework based on virtual threads. Helidon is designed to be simple to use, with tooling and examples to get you going quickly. Since Helidon is simply a collection of Java libraries running on a fast Netty core, there is no extra overhead or bloat. Helidon supports MicroProfile and provides familiar APIs like JAX-RS, CDI and JSON-P/B. Our implementation runs on our fast Helidon Reactive WebServer. Helidon Reactive WebServer provides a modern functional programming model and runs on top of Netty. Lightweight, flexible and reactive, the Helidon WebServer provides a simple-to-use and fast foundation for your microservices. -
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IIAB
Internet-in-a-Box, build your own library of Alexandria
Internet-in-a-Box (IIAB) is a “learning hotspot” that brings the Internet's crown jewels (Wikipedia in any language, thousands of Khan Academy videos, zoomable OpenStreetMap, electronic books, WordPress journaling, “Toys from Trash” electronics projects, etc.) to those without Internet. You can build your own tiny, affordable server (an offline digital library) for your school, your medical clinic, your prison, your region, and/or your very own family, accessible with any nearby smartphone, tablet, or laptop. -
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Imagen - Pytorch
Implementation of Imagen, Google's Text-to-Image Neural Network
Implementation of Imagen, Google's Text-to-Image Neural Network that beats DALL-E2, in Pytorch. It is the new SOTA for text-to-image synthesis. Architecturally, it is actually much simpler than DALL-E2. It consists of a cascading DDPM conditioned on text embeddings from a large pre-trained T5 model (attention network). It also contains dynamic clipping for improved classifier-free guidance, noise level conditioning, and a memory-efficient unit design. It appears neither CLIP nor prior network is needed after all. And so research continues. For simpler training, you can directly supply text strings instead of precomputing text encodings. (Although for scaling purposes, you will definitely want to precompute the textual embeddings + mask) -
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Inferno
React-like JavaScript library for building modern user interfaces
Inferno is an insanely fast, React-like library for building high-performance user interfaces on both the client and server. React-like API, concepts and component lifecycle events. Switch over easily with inferno-compat. One of the fastest front-end frameworks for rendering UI in the DOM, making 60 FPS on mobile possible. Isomorphic rendering on both client and server, along with fast-booting from server-side renders. Inferno doesn't have a fully synthetic event system like React does. Inferno has a partially synthetic event system, instead opting to only delegate certain events (such as `onClick`). Inferno doesn't support React Native. Inferno was only designed for the browser/server with the DOM in mind. Inferno doesn't support legacy string refs, use `createRef` or callback `ref` API. Inferno provides lifecycle events on functional components. This is a major win for people who prefer lightweight components rather than ES2015 classes. -
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Intermock
Mocking library to create mock objects with fake data for TypeScript
Intermock is a TypeScript utility developed by Google that automatically generates mock objects and JSON data for TypeScript interfaces using the Faker library. It simplifies frontend and API testing by creating realistic, schema-compliant mock data directly from interface definitions, eliminating the need for manual mock creation. Intermock supports a wide range of TypeScript constructs including interfaces, unions, generics, mapped types, and tuples, ensuring comprehensive type coverage. It can be used both via a command-line interface (CLI) and programmatically through its API, making it suitable for integration into build pipelines or development environments. The tool also allows fine-grained control over output format—object, JSON, or string—and supports JSDoc annotations to define custom Faker data generators. By leveraging Intermock, developers can quickly generate realistic mock datasets for testing, prototyping, and documentation purposes without writing boilerplate code. -
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Intro.js
Lightweight library for creating step-by-step customer onboarding
Intro.js is a lightweight library for creating step-by-step customer onboarding. You can install Intro.js in a few simple steps. Intro.js consists of two main files, the JavaScript part and the CSS part which renders the elements nicely. The simplicity of Intro.js API will help you to develop an advanced onboarding for your products. Intro.js is lightweight, 10kB and has no external dependencies! Intro.js provides various ways to configure your product onboarding and customize every single step of your tour. Intro.js is Free and open-source, published under AGPL license. We also provide commercial license, supporting your team to successfully integrate Intro.js! Intro.js is AGPL-licensed and open-source. However, if you want to use Intro.js in your commercial app, website or plugin, you would need to obtain a commercial license. -
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Iron-Session
Secure, stateless, and cookie-based session library for JavaScript
Iron-Session is a secure, stateless, and cookie-based session library for JavaScript, enabling developers to manage user sessions without server-side storage. -
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JC
CLI tool and python library
CLI tool and python library that converts the output of popular command-line tools and file types to JSON or Dictionaries. This allows piping of output to tools like jq and simplifying automation scripts. jc JSONifies the output of many CLI tools and file types for easier parsing in scripts. This allows further command-line processing of output with tools like jq or jello by piping commands. The JC parsers can also be used as python modules. In this case, the output will be a python dictionary, or a list of dictionaries, instead of JSON. Two representations of the data are available. The default representation uses a strict schema per parser and converts known numbers to int/float JSON values. Certain known values of None are converted to JSON null, known boolean values are converted, and, in some cases, additional semantic context fields are added. -
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Jimp
An image processing library written entirely in JavaScript for Node
An image processing library for Node written entirely in JavaScript, with zero native dependencies. If you're using this library with TypeScript the method of importing slightly differs from JavaScript. Instead of using require, you must import it with ES6 default import scheme. If you're using a web bundles (webpack, rollup, parcel) you can benefit from using the module build of jimp. Using the module build will allow your bundler to understand your code better and exclude things you aren't using. If you're using webpack you can set process.browser to true and your build of jimp will exclude certain parts, making it load faster. The static Jimp.read method takes the path to a file, URL, dimensions, a Jimp instance or a buffer and returns a Promise. In some cases, you need to pass additional parameters with an image's URL. -
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Julia.jl
Curated decibans of Julia programming language
Julia.jl is a curated collection of knowledge resources for the Julia programming language, designed to support high-performance numerical analysis and computational science. The repository aggregates diverse content across domains such as mathematics, physics, data science, optimization, machine learning, and supercomputing. It functions as a structured index, helping developers, researchers, and learners easily find materials to deepen their understanding of Julia’s ecosystem. The project emphasizes community contributions, encouraging users to expand and refine the resource pool. With a wide range of topic-focused documents, it provides both academic and practical references for applied research and development. By centralizing these resources, Julia.jl supports continuous learning and growth for users at all experience levels in the Julia community. -
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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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Kamon Telemetry
Distributed Tracing, Metrics and Context Propagation for applications
Kamon Telemetry is a set of libraries for instrumenting applications running on the JVM. With Kamon Telemetry you can collect metrics, propagate context across threads and services, and get distributed traces automatically. The best way to get started is by following our installation guides and taking it from there. Have fun with Kamon. Monitor your backend applications, fix performance issues, and get alerted when problems happen. All without being a monitoring expert. Everybody starts monitoring with logs because they are there by default. Just connect to your server and start tailing. But logs have a hard time showing you the overall response times for your application, or whether certain calls to the database are happening in sequence or parallel (among a million other things). -
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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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Kibo UI
A custom registry of composable, accessible and open source shadcn/ui
Kibo UI is an open-source registry of composable, accessible UI components built atop the shadcn/ui system. Designed for developers using React and TypeScript, Kibo extends the foundational primitives of shadcn/ui by offering a broader set of prebuilt components that integrate seamlessly with Radix UI and other headless libraries. It aims to reduce boilerplate while maintaining flexibility and accessibility, making it ideal for building modern, responsive web applications. -
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KnpSnappyBundle
Easily create PDF and images in Symfony by converting html using webki
Easily create PDF and images in Symfony by converting HTML using webkit. Snappy is a PHP wrapper for the wkhtmltopdf conversion utility. It allows you to generate either pdf or image files from your html documents, using the webkit engine. The KnpSnappyBundle provides a simple integration for your Symfony project. If you need to change the binaries, change the instance options or even disable one or both services, you can do it through the configuration. Render a pdf document with a relative url inside like css files. Render a pdf document as a response from a controller. Render an image as response from a controller. Generate a pdf document from a twig view. -
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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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Kotlin JDSL
Kotlin library that makes it easy to build and execute queries
Kotlin JDSL is a Kotlin library that makes it easy to build a query without a generated metamodel. There are many libraries that use an annotation processing tool (APT) to do the job. However, with the APT, you have to recompile whenever the name or type of field in an entity or a table class is changed. Kotlin JDSL provides a domain-specific language (DSL) based on KClass and KProperty to help you easily build queries without such inconveniences from the APT. Kotlin JDSL does not provide an executor or a wrapper class as it is designed to help you build and execute queries with the library you are using.
