Showing 786 open source projects for "linux utilities"

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  • 1
    TanStack Virtual

    TanStack Virtual

    Headless UI for Virtualizing Large Element Lists in JS/TS

    TanStack Virtual is a lightweight, framework-agnostic library that enables high-performance virtualization for long or large lists in web UIs, providing smooth scrolling and responsive rendering by only mounting items visible in the viewport. A headless, framework‑agnostic virtualization library for rendering massive lists, grids, and tables at 60FPS while giving you full control over markup and styles. Virtualizes vertical, horizontal & grid layouts with a single hook/function. Lightweight...
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  • 2
    GenAI Processors

    GenAI Processors

    GenAI Processors is a lightweight Python library

    GenAI Processors is a lightweight Python library for building modular, asynchronous, and composable AI pipelines around Gemini. Its central abstraction is the Processor, a unit of work that consumes an asynchronous stream of parts (text, images, audio, JSON) and produces another stream, making it natural to chain operations and keep everything streaming end-to-end. Processors can be composed sequentially (to build multi-step flows) or in parallel (to fan-out work and merge results), which...
    Downloads: 1 This Week
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  • 3
    BSC

    BSC

    Bluespec Compiler (BSC)

    BSC is the open source compiler toolchain for Bluespec SystemVerilog, a high-level, rule-based hardware design language. It translates Bluespec descriptions into synthesizable Verilog, letting developers bring typed, modular abstractions into mainstream FPGA/ASIC flows. The compiler performs scheduling of atomic rules, elaborates parameterized modules, and enforces interface contracts, producing predictable RTL that integrates with existing EDA tools. A companion simulator enables fast...
    Downloads: 1 This Week
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  • 4
    Gooo

    Gooo

    Toolkit for developing web applications in Vue, Templ, and Go

    Gooo is an open-source project that focuses on providing tools and utilities for interacting with and analyzing online content, particularly in the context of automation and data retrieval workflows. The repository appears to function as a lightweight utility toolkit that can be adapted for specific use cases such as scraping, automation, or content processing. It is structured to allow developers to customize and extend its functionality depending on their needs, rather than acting as a...
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  • 5
    PHP Map

    PHP Map

    PHP arrays and collections made easy

    Aimeos/Map is a lightweight PHP collection utility that makes working with arrays and array-like data much easier and more expressive by offering a fluent, object-oriented interface inspired by jQuery and Laravel collections. It wraps standard PHP arrays in a “Map” object, letting developers chain powerful methods for creating, transforming, filtering, sorting, and aggregating data without verbose boilerplate code. This approach improves readability and maintainability when dealing with...
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  • 6
    Ring UI

    Ring UI

    A collection of JetBrains Web UI components

    Ring-UI is a React component library created by JetBrains to provide a consistent, high-quality set of UI elements for building web applications with a polished and professional look and feel. It includes a comprehensive suite of components like buttons, dropdowns, modals, tabs, forms, tooltips, menus, and navigation elements that adhere to modern design principles and accessibility standards, making it easier for developers to deliver rich interactive experiences without reinventing core UI...
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  • 7
    Anomalib

    Anomalib

    An anomaly detection library comprising state-of-the-art algorithms

    Anomalib is an open-source deep learning library focused on anomaly detection and localization tasks, collecting state-of-the-art algorithms and tools under one modular framework. It provides implementations of leading anomaly detection methods drawn from current research, as well as a full set of utilities for training, evaluating, benchmarking, and deploying these models on both public and private datasets. Anomalib emphasizes flexibility and reproducibility: you can use its simple APIs to...
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  • 8
    HSharp

    HSharp

    HSharp is a library used to analyze markup language like HTML

    HSharp appears to be an experimental C#/.NET project exploring higher-level abstractions or helper patterns (the naming hints at “H#” as a layer or framework on top of C#). It groups together utilities, base classes, and conventions so that common app logic can be written faster and with less boilerplate. The repo acts as a sandbox for testing these patterns in real code, which is helpful if you want to see how the author structures services, models, or infrastructure concerns. Because it’s...
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  • 9
    Stable Diffusion Web UI Extensions

    Stable Diffusion Web UI Extensions

    Extension index for stable-diffusion-webui

    This repository serves as the official index used by the Stable Diffusion Web UI to discover and install extensions. It aggregates metadata for hundreds of community plugins—image utilities, ControlNet tools, upscalers, prompt helpers, animation suites—so users can browse and add capabilities directly from the UI. The index maintains short descriptions, tags, and repository links, enabling quick filtering by purpose or workflow. It also standardizes submission format so extension authors can...
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  • 10
    Fully Homomorphic Encryption

    Fully Homomorphic Encryption

    An FHE compiler for C++

    This repository gathers Google’s practical tooling for Fully Homomorphic Encryption (FHE), focused on making it possible to run computations on encrypted data without ever decrypting it. At its core is a “transpiler” that converts ordinary functions (typically written in a restricted subset of C++ or similar) into FHE circuits, plus backends that execute those circuits with different FHE libraries. The workflow usually mirrors normal software development: write and test a cleartext...
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  • 11
    Best-of Machine Learning with Python

    Best-of Machine Learning with Python

    A ranked list of awesome machine learning Python libraries

    This curated list contains 900 awesome open-source projects with a total of 3.3M stars grouped into 34 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an issue, submit a pull request, or directly edit the projects.yaml. Contributions are very welcome! General-purpose machine learning and deep learning...
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  • 12
    hyde Jekyll

    hyde Jekyll

    A front-end to Jekyll that parses C++ sources

    A front-end to Jekyll that parses C++ sources to produce and enforce out-of-line documentation. hyde is a utility that facilitates documenting C++. The tool is unique from existing documentation utilities. Many tools rely on documentation placed inline within the source as long-form comments. While these seem appealing at first blush, they suffer from two big drawbacks. First, there is nothing keeping the comments from falling out of sync with the elements they document. Secondly (and...
    Downloads: 10 This Week
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  • 13
    Menubar Electron

    Menubar Electron

    High level way to create menubar desktop applications with electron

    ...The library makes it easy to build cross-platform utilities like clipboard managers, quick note popups, status displays, or background tools that users access from the bar icon without filling taskbars or docks. menubar handles the lifecycle of the UI window, system tray icon, and related events so developers can focus on the application logic rather than boilerplate integration.
    Downloads: 0 This Week
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  • 14
    Lobe UI

    Lobe UI

    An open-source UI component library for building AIGC web apps

    Lobe UI is an open source UI component library specifically designed for building AI-generated content (AIGC) web applications, offering a modern toolkit tailored to chatbots, AI interfaces, and intelligent systems. It is built with React and TypeScript and integrates closely with Ant Design, allowing developers to leverage familiar component patterns while extending them for AI-centric use cases. The library includes specialized components and configurations for handling features like...
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  • 15
    From Java To Kotlin

    From Java To Kotlin

    Your Cheat Sheet For Java To Kotlin

    From Java to Kotlin is a practical guide for Android developers transitioning existing codebases and habits from Java to idiomatic Kotlin. Rather than simply showing syntax translations, it emphasizes Kotlin’s expressive features—null safety, extensions, data classes, sealed hierarchies, and higher-order functions—and how to apply them sensibly. Examples illustrate side-by-side Java and Kotlin snippets, revealing opportunities to reduce boilerplate and improve readability. The guide includes...
    Downloads: 0 This Week
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  • 16
    Penzai

    Penzai

    A JAX research toolkit to build, edit, & visualize neural networks

    Penzai, developed by Google DeepMind, is a JAX-based library for representing, visualizing, and manipulating neural network models as functional pytree data structures. It is designed to make machine learning research more interpretable and interactive, particularly for tasks like model surgery, ablation studies, architecture debugging, and interpretability research. Unlike conventional neural network libraries, Penzai exposes the full internal structure of models, enabling fine-grained...
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  • 17
    DomainBed

    DomainBed

    DomainBed is a suite to test domain generalization algorithms

    DomainBed is a PyTorch-based research suite created by Facebook Research for benchmarking and evaluating domain generalization algorithms. It provides a unified framework for comparing methods that aim to train models capable of performing well across unseen domains, as introduced in the paper In Search of Lost Domain Generalization. The library includes a wide range of well-known domain generalization algorithms, from classical baselines such as Empirical Risk Minimization (ERM) and...
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  • 18
    Multimodal

    Multimodal

    TorchMultimodal is a PyTorch library

    This project, also known as TorchMultimodal, is a PyTorch library for building, training, and experimenting with multimodal, multi-task models at scale. The library provides modular building blocks such as encoders, fusion modules, loss functions, and transformations that support combining modalities (vision, text, audio, etc.) in unified architectures. It includes a collection of ready model classes—like ALBEF, CLIP, BLIP-2, COCA, FLAVA, MDETR, and Omnivore—that serve as reference...
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  • 19
    Mojolicious (Mojo)

    Mojolicious (Mojo)

    Perl real-time web framework

    Mojolicious is a modern, real-time web framework for Perl that ships batteries-included for building both APIs and dynamic web apps. It features a fast non-blocking I/O loop, a built-in HTTP/1.1 and WebSocket server, and first-class support for JSON, templates, and routing. Developers can start small with Mojolicious::Lite, a concise DSL for single-file apps, then grow into a full MVC structure with controllers, plugins, and reusable components. The framework emphasizes developer ergonomics:...
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  • 20
    Silk.NET

    Silk.NET

    About The high-speed OpenGL, OpenCL bindings library

    Spruce up your games and applications with cross-platform 3D graphics, audio, compute and haptics. Fast, free, cross-platform. With an efficient bindings regeneration mechanism, we are committed to ensuring our bindings reflect the latest specifications with monthly updates generated straight from the upstream sources. In addition to providing high-speed, direct, and transparent bindings, we provide high-level utilities and wrappers to maximize productivity in common workloads such as...
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  • 21
    Top Deep Learning Projects

    Top Deep Learning Projects

    A list of popular github projects related to deep learning

    TopDeepLearning is a curated index of the most popular GitHub projects related to deep learning, ranked by their star count. Rather than being a library itself, it serves as a curated roadmap and reference guide for anyone exploring the deep learning ecosystem — from beginners to experienced practitioners. By aggregating high-star projects across frameworks (TensorFlow, PyTorch), tools (computer vision, NLP, reinforcement learning), tutorials, and research code, it helps users quickly...
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  • 22
    UCO3D

    UCO3D

    Uncommon Objects in 3D dataset

    uCO3D is a large-scale 3D vision dataset and toolkit centered on turn-table videos of everyday objects drawn from the LVIS taxonomy. It provides about 170,000 full videos per object instance rather than still frames, along with per-video annotations including object masks, calibrated camera poses, and multiple flavors of point clouds. Each sequence also ships with a precomputed 3D Gaussian Splat reconstruction, enabling fast, differentiable rendering workflows and modern implicit/point-based...
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  • 23
    Scalaz

    Scalaz

    Principled Functional Programming in Scala

    Scalaz is a foundational functional-programming library for Scala that provides type classes, data types, and syntax to write pure, composable code. It implements classic abstractions such as Functor, Applicative, Monad, Monoid, Foldable, and Traverse, along with powerful transformers (ReaderT, StateT, WriterT, OptionT, and more) to structure effects. The library offers rich data structures—\/ (disjunction), Validation, NonEmptyList, IList, and Free—that help model errors, invariants, and...
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  • 24
    AWS SDK for Go

    AWS SDK for Go

    AWS SDK for the Go programming language

    Get started quickly using AWS with the AWS SDK for Go. The SDK makes it easy to integrate your Go application with the full suite of AWS services including Amazon S3, Amazon DynamoDB, Amazon SQS, and more. The AWS SDK for Go simplifies use of AWS services by providing a set of libraries that are consistent and familiar for Go developers. It supports higher level abstractions for simplified development, such as Amazon S3 Transfer Manager for seamless concurrent multi-part file uploads and...
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  • 25
    AWS Neuron

    AWS Neuron

    Powering Amazon custom machine learning chips

    AWS Neuron is a software development kit (SDK) for running machine learning inference using AWS Inferentia chips. It consists of a compiler, run-time, and profiling tools that enable developers to run high-performance and low latency inference using AWS Inferentia-based Amazon EC2 Inf1 instances. Using Neuron developers can easily train their machine learning models on any popular framework such as TensorFlow, PyTorch, and MXNet, and run it optimally on Amazon EC2 Inf1 instances. You can...
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