Open Source Linux Libraries - Page 8
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Libraries for Linux
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Integrant
Micro-framework for data-driven architecture
Integrant is a minimalistic micro-framework for building applications following a data-driven architecture. It lets you define system components declaratively as configuration data and handles lifecycle actions (init, halt, resume) in dependency order, serving as a modern alternative to Component or Mount. Integrant was built as a reaction to fix some perceived weaknesses with Component. In Component, systems are created programmatically. Constructor functions are used to build records, which are then assembled into systems. In Integrant, systems are created from a configuration data structure, typically loaded from an edn resource. The architecture of the application is defined through data, rather than code. -
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JMX Exporter
A process for exposing JMX Beans via HTTP for Prometheus consumption
JMX to Prometheus exporter: a collector that can configurable scrape and expose mBeans of a JMX target. This exporter is intended to be run as a Java Agent, exposing a HTTP server and serving metrics of the local JVM. It can be also run as a standalone HTTP server and scrape remote JMX targets, but this has various disadvantages, such as being harder to configure and being unable to expose process metrics (e.g., memory and CPU usage). Running the exporter as a Java agent is strongly encouraged. -
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Matplotlib
matplotlib: plotting with Python
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. Matplotlib ships with several add-on toolkits, including 3D plotting with mplot3d, axes helpers in axes_grid1 and axis helpers in axisartist. A large number of third party packages extend and build on Matplotlib functionality, including several higher-level plotting interfaces (seaborn, HoloViews, ggplot, ...), and a projection and mapping toolkit (Cartopy). Matplotlib is the brainchild of John Hunter (1968-2012), who, along with its many contributors, have put an immeasurable amount of time and effort into producing a piece of software utilized by thousands of scientists worldwide. Matplotlib is a Sponsored Project of NumFOCUS, a 501(c)(3) nonprofit charity in the United States. Matplotlib has support for visualizing information with a wide array of colors and colormaps. -
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Mundane
Mundane is a Rust cryptography library backed by BoringSSL
Mundane is a Rust cryptography library designed to be safe, ergonomic, and high-performance, with its cryptographic operations powered by BoringSSL. It aims to eliminate common security pitfalls by providing APIs that are intentionally difficult to misuse, prioritizing safety and correctness over flexibility. The library vendors its own copy of BoringSSL, ensuring consistent builds without external dependencies and avoiding symbol conflicts between different versions. Mundane emphasizes clarity in its cryptographic abstractions, making it accessible to developers while maintaining robust security guarantees. It is ideal for projects that need reliable, production-grade cryptography built directly on top of proven, well-tested C libraries. -
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SnapKit
A Swift Autolayout DSL for iOS & OS X
SnapKit is a Swift DSL that simplifies Auto Layout for iOS and macOS. It uses expressive chaining syntax to create layout constraints in code more cleanly and concisely than native APIs. Compatible with Swift Package Manager, CocoaPods, and Carthage—used extensively in iOS/macOS UI development. -
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ToaruOS
Hobby operating system, bootloader, kernel, drivers, C library
ToaruOS is a "complete" operating system for x86-64 PCs and experimental support for ARMv8. While many independent, hobby, and research OSes aim to experiment with new designs, ToaruOS is intended as an educational resource, providing a representative microcosm of functionality found in major desktop operating systems. The OS includes a kernel, bootloader, dynamic shared object linker, C standard library, its own composited windowing system, a dynamic bytecode-compiled programming language, advanced code editor, and dozens of other utilities and example applications. There are no external runtime dependencies and all required source code, totaling roughly 100k lines of (primarily) C, is included in this repository, save for Kuroko, which lives separately. Through out the project, ToaruOS has also attracted quite a few beginner OS developers who have tried to use it as a reference. -
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pikepdf
A Python library for reading and writing PDF, powered by QPDF
pikepdf is a Python library allowing the creation, manipulation, and repair of PDFs. It provides a Pythonic wrapper around the C++ PDF content transformation library, QPDF. Python + QPDF = “py” + “qpdf” = “pyqpdf”, which looks like a dyslexia test and is no fun to type. But say “pyqpdf” out loud, and it sounds like “pikepdf”. pikepdf is a library intended for developers who want to create, manipulate, parse, repair, and abuse the PDF format. It supports reading and write PDFs, including creating from scratch. Thanks to QPDF, it supports linearizing PDFs and access to encrypted PDFs. -
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A pure Java library for reading from and writing to MS Access databases.
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Hadoop-BAM is a Java library for the manipulation of files in common bioinformatics formats using the Hadoop MapReduce framework with the Picard SAM JDK, and command line tools similar to SAMtools. The file formats currently supported are BAM, SAM, FASTQ, FASTA, QSEQ, BCF, and VCF. For a longer high-level description of Hadoop-BAM, refer to the article "Hadoop-BAM: directly manipulating next generation sequencing data in the cloud" in Bioinformatics Volume 28 Issue 6 pp. 876-877, available online at: http://dx.doi.org/10.1093/bioinformatics/bts054 Note that the library part of Hadoop-BAM is mainly for developers with experience in using Hadoop. The command line tools of Hadoop-BAM should be understandable to all users, but they are limited in scope. See the SeqPig project for a higher-level interface to the file formats supported by Hadoop-BAM: http://seqpig.sourceforge.net See Seal for Hadoop-based read alignment tools, Seal: http://biodoop-seal.sourceforge.net
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A to Z Resources for Students
Curated list of resources for developers
A to Z Resources for Students is a curated directory of learning materials, developer tools, programs, events, and career opportunities for students and early-career technologists. It helps users discover resources for learning programming languages, frameworks, AI, machine learning, cybersecurity, mobile development, and other technical fields. The collection also includes hackathons, competitions, internships, student programs, open-source opportunities, and networking communities. Interview preparation and free developer resources are organized alongside educational links. A quick-start guide points beginners and career-focused users toward relevant sections. The repository is designed as a broad discovery hub for learning, skill building, and finding technology opportunities. -
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Apache Log4j
Apache Log4j 2 is a versatile, feature-rich, efficient logging API
Apache Log4j is a versatile, industrial-grade Java logging framework composed of an API, its implementation, and components to assist the deployment for various use cases. Log4j is used by 8% of the Maven ecosystem and listed as one of the top 100 critical open source software projects. The project is actively maintained by a team of several volunteers and supported by a big community. -
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Caffe
A fast open framework for deep learning
Caffe is an open source deep learning framework that’s focused on expression, speed and modularity. It’s got an expressive architecture that encourages application and innovation, and extensible code that’s great for active development. Caffe also offers great speed, capable of processing over 60M images per day with a single NVIDIA K40 GPU. It’s arguably one of the fastest convnet implementations around. Caffe is developed by the Berkeley AI Research (BAIR)/The Berkeley Vision and Learning Center (BVLC) and a great community of contributors that continue to make Caffe state-of-the-art in both code and models. It’s been used in numerous projects, from startup prototypes and academic research projects, to large scale industrial applications. -
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Everything Claude Code
Complete Claude Code configuration collection
Everything Claude Code is a community-driven collection of Claude Code skills, workflows, and examples that accelerate the adoption of Anthropic’s Claude models for real-world developer tasks, ranging from project scaffolding to code generation and testing automation. The repository curates reproducible templates that demonstrate how Claude Code agents can participate in end-to-end developer journeys such as building new features, adhering to coding standards, generating documentation, and automating refactor patterns. It also includes example orchestrations that showcase multi-step agent workflows, letting developers see how to compose small, discrete agent capabilities into productive, cohesive sequences. Because it is designed to be modular, individuals and teams can pull in only the skills they need, combine them with custom logic, or share their own extensions with the community. -
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Games on GitHub
A list of games, add-ons, maps, etc. hosted on GitHub
Games on GitHub is an archived GitHub repository that collects open-source games, game add-ons, maps, hacks, engines, libraries, and related tools. It started as a community list and grew into one of the most visible open-source gaming collections on GitHub. The repository is organized by categories such as browser-based games, native games, mobile games, chat bots, source-only projects, frameworks, engines, libraries, plugins, utilities, and related resources. It includes projects across many genres, platforms, engines, and programming languages. Because the repository is now archived and read-only, it is best treated as a historical discovery list rather than an actively maintained catalog. Overall, it remains useful for exploring open-source game development examples, older community projects, and game-related technical resources. -
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KnowNote
A local-first AI knowledge base & NotebookLM alternative
KnowNote is a local-first, open-source AI knowledge base and notebook application created as an Electron-based alternative to Google NotebookLM that emphasizes privacy, control, and simplicity. It lets users build an intelligent, searchable knowledge base from uploaded documents such as PDFs, Word files, PowerPoints, and web pages, and then interact with that content using LLM-powered chat, summarization, and reasoning tools. Unlike many NotebookLM alternatives that rely on Docker or cloud deployments, KnowNote runs natively on desktop platforms without complex setup, meaning all data stays local unless the user opts to integrate with self-managed or private LLM APIs. Its retrieval-augmented generation (RAG) system offers semantic search and traceable source references, and it supports multiple LLM providers through a flexible plugin-style provider architecture. -
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LLM CLI
Access large language models from the command-line
A CLI utility and Python library for interacting with Large Language Models, both via remote APIs and models that can be installed and run on your own machine. -
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Pinview
A pinview library for Android
Pinview library for Android. -
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The Data Engineering Handbook
Links to everything you'd ever want to learn about data engineering
The Data Engineering Handbook is a comprehensive, community-curated repository that aggregates essential learning resources for anyone interested in becoming a professional data engineer. Rather than being a code project itself, it’s a learning handbook that links to books, articles, tutorials, community groups, boot camps, and real-world project examples that collectively form a roadmap to mastering data engineering skills. It includes beginner and intermediate boot camps, interview guides, data cleaning and transformation resources, and curated lists of newsletters and industry communities, making it useful both for self-study and technical interview preparation. The repository is actively maintained and widely starred, reflecting its role as a go-to reference for newcomers and experienced practitioners alike. -
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VGGT-Ω
[CVPR 2026 Oral] VGGT Omega
VGGT-Omega is a Facebook Research computer vision project for feed-forward camera and depth reconstruction. It takes images as input and predicts camera parameters, depth maps, confidence values, and related scene tokens. The project is associated with 3D understanding workflows where models infer scene geometry without a traditional multi-stage reconstruction pipeline. It includes pretrained model variants with different resolutions and text-alignment capabilities, though checkpoint access may require approval. The repository also provides a Gradio demo that can visualize predicted cameras and depth-unprojected point clouds as a GLB scene. VGGT-Omega is best suited for researchers and developers working on 3D reconstruction, visual geometry, and image-based scene understanding. -
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Vanilla.PDF
Cross-platform SDK for creating and modifying PDF documents
Vanilla.PDF is a modern, high-performance, open-source C++17 SDK designed for creating, editing, signing, and analyzing PDF documents across multiple platforms. It requires no external runtime dependencies, making it lightweight and ideal for embedding into desktop applications, servers, or automation pipelines. The SDK offers full cross-platform support including Windows, Linux, macOS, and Android, with builds available for major compilers and architectures. Vanilla.PDF supports advanced PDF features such as adding CMS (PKCS#7) digital signatures, modifying content streams and metadata, and working with encryption and permissions based on standard PDF security models. It includes tools for parsing PDF internals like cross-reference tables and objects, providing fine-grained document analysis capabilities. The project is unit-tested with continuous integration pipelines, supporting sanitizers for enhanced code quality and stability. -
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shadcn/ui
Beautifully designed components that you can copy and paste into apps
Accessible and customizable components that you can copy and paste into your apps. Free. Open Source. Use this to build your own component library. -
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templUI
A growing collection of beautifully designed UI components for Go
templUI is a modern UI component library built specifically for Go applications using the templ templating language, offering a developer-first approach to building interfaces with strong type safety and performance. It provides a growing collection of beautifully designed, production-ready components styled with Tailwind CSS, allowing developers to construct modern web interfaces without relying on heavy frontend frameworks. One of its defining principles is code ownership, meaning developers can either import components directly or copy them into their projects using a CLI, ensuring full control over customization and long-term maintenance. The library avoids JavaScript frameworks entirely, instead relying on lightweight, vanilla implementations that prioritize speed and simplicity. templUI also emphasizes security and compliance, with features such as CSP-friendly rendering and no inline scripts, making it suitable for enterprise environments. -
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U++
C++ framework with an ide.
U++ is BSD licensed C++ cross-platform rapid application development framework focused on programmers productivity without sacrificing runtime performance. Based on strictly deterministic design it provides an alternative to GC collected platforms. -
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DSharpPlus
A .NET Standard library for making bots using the Discord API
All Nightly versions are available on Nuget as a pre-release. These are cutting-edge versions automatically built from the latest commit in the master branch in this repository, and as such always contains the latest changes. If you want to use the latest features on Discord, you should use the nightlies Despite the nature of pre-release software, all changes to the library are held under a level of scrutiny; for this library, unstable does not mean bad quality, rather it means that the API can be subject to change without prior notice (to ease rapid iteration) and that consumers of the library should always remain on the latest version available (to immediately get the latest fixes and improvements). You will usually want to use this version. The latest stable release is always available on NuGet. Stable versions are released less often, but are guaranteed to not receive any breaking API changes without a major version bump. -
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Elixir LangChain
Elixir implementation of a LangChain style framework
Elixir LangChain is an Elixir-native implementation of the LangChain concept, designed to help developers build applications powered by large language models using the Elixir ecosystem. The library focuses on enabling composable workflows where different processes, APIs, and services can be connected into structured pipelines driven by LLMs. It mirrors the architecture of traditional LangChain frameworks by providing abstractions for chains, tools, agents, and model integrations while adapting them to Elixir’s concurrency model. This makes it particularly well-suited for building scalable, real-time AI systems that benefit from Elixir’s fault tolerance and lightweight process management. The framework supports multiple providers and includes features such as streaming responses, tool calling, and structured outputs, allowing developers to create complex AI-driven workflows.
