Open Source Linux Libraries - Page 29
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1
F2
An elegant, interactive and flexible charting library for mobile
F2 is an out-of-the-box visualization engine focused on the mobile terminal, oriented to conventional statistical charts, perfectly supporting the H5 environment and compatible with multiple environments (Node, applet), complete graphics grammar theory, to meet your various visualization needs , professional mobile design guidelines to bring you the best mobile graphics experience. Best practices for moving side charts around design, performance and heterogeneous environments. Based on the grammar of graphics, Flexible construction of various charts (50+), complete components, covering various scenarios. Plugin, graphics, animation and interaction can be flexibly expanded and freely used. Covering business scenarios such as Ant membership, Alipay monthly bills, personal total assets, etc., it helps you understand your consumption data faster and better through visualization. -
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Face Alignment
2D and 3D Face alignment library build using pytorch
Detect facial landmarks from Python using the world's most accurate face alignment network, capable of detecting points in both 2D and 3D coordinates. Build using FAN's state-of-the-art deep learning-based face alignment method. For numerical evaluations, it is highly recommended to use the lua version which uses identical models with the ones evaluated in the paper. More models will be added soon. By default, the package will use the SFD face detector. However, the users can alternatively use dlib, BlazeFace, or pre-existing ground truth bounding boxes. While not required, for optimal performance(especially for the detector) it is highly recommended to run the code using a CUDA-enabled GPU. While here the work is presented as a black box, if you want to know more about the intrisecs of the method please check the original paper either on arxiv or my webpage. -
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Face Verification Experiment
Original Caffe Version for LightCNN-9. Highly recommend to use PyTorch
face_verification_experiment is a research repository focused on experiments in face verification using deep learning. It provides implementations and scripts for testing different neural network architectures and training strategies on face recognition and verification tasks. The project is designed to help researchers and practitioners evaluate the performance of models on standard datasets and explore techniques for improving accuracy. By offering experimental setups, it enables reproducibility and comparative study of face verification approaches. The repository serves as a resource for understanding the application of convolutional neural networks to identity verification, highlighting both methodology and results. It is primarily intended for academic and research purposes in computer vision and biometrics. -
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Face detector
A real-time face detection Android library
Face detector is a face detection Android library which can be easily plugged into any camera API (given it provides a way to process its frames). Face detector is built on top of MLKit's face detection API. -
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Faiss
Library for efficient similarity search and clustering dense vectors
Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete wrappers for Python/numpy. Some of the most useful algorithms are implemented on the GPU. It is developed by Facebook AI Research. Faiss contains several methods for similarity search. It assumes that the instances are represented as vectors and are identified by an integer, and that the vectors can be compared with L2 (Euclidean) distances or dot products. Vectors that are similar to a query vector are those that have the lowest L2 distance or the highest dot product with the query vector. It also supports cosine similarity, since this is a dot product on normalized vectors. -
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FakeItEasy
The easy mocking library for .NET
A .Net dynamic fake framework for creating all types of fake objects, mocks, stubs etc. Easier semantics, all fake objects are just that, fakes. Usage determines whether they're mocks or stubs. Context-aware fluent interface guides the developer. Easy to use and compatible with both C# and VB.Net. Every faked instance looks and feels like an instance of the faked type. Helpful exception messages identify where a test went wrong. Raising events from faked objects. Explicit assertions, stated at the end of the test. Type-safe faking of classes that require constructor arguments. Automatic generation of dummy constructor arguments, if desired. Extensible facilities for fake and dummy creation and argument formatting. Use your fake as you would an instance of the faked type. Asserting uses the same syntax as configuring calls. -
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Fantasy Land Specification
Specification for interoperability of JavaScript algebraic structures
This project specifies interoperability of common algebraic structures like Setoid, Ord, Semigroupoid, Category, Semigroup, Monoid, Group, Filterable, Functor, Contravariant, Apply, Applicative, etc. An algebra is a set of values, a set of operators that it is closed under and some laws it must obey. Each Fantasy Land algebra is a separate specification. An algebra may have dependencies on other algebras which must be implemented. "Value" is any JavaScript value, including any which have the structures defined below. "Equivalent" is an appropriate definition of equivalence for the given value. The definition should ensure that the two values can be safely swapped out in a program that respects abstractions. For example, two lists are equivalent if they are equivalent at all indices, two plain old JavaScript objects, interpreted as dictionaries, are equivalent when they are equivalent for all keys, two promises are equivalent when they yield equivalent values, etc. -
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Fast Android Networking
A Complete Fast Android Networking Library that also supports HTTP/2
Fast Android Networking Library is a powerful library for doing any type of networking in Android applications which is made on top of OkHttp Networking Layer. Fast Android Networking Library takes care of each and everything. So you don't have to do anything, just make a request and listen for the response. The recent removal of HttpClient in Android Marshmallow(Android M) made other networking libraries obsolete. No other single library does and everything like making requests, downloading any type of file, uploading file, loading images from the network in ImageView, etc. There are some libraries but they are outdated. No other library provides a simple interface for doing all types of things in networking like setting priority, canceling, etc. As it uses Okio , No more GC overhead in android applications. Okio is made to handle GC overhead while allocating memory. Okio does some clever things to save CPU and memory. -
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File System Crawler for Elasticsearch
Elasticsearch File System Crawler (FS Crawler)
This crawler helps to index binary documents such as PDF, Open Office, MS Office. Local file system (or a mounted drive) crawling and indexing new files, updating existing ones, and removing old ones. Remote file system over SSH/FTP crawling. REST interface to let you “upload” your binary documents to elastic search. -
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10
Flask-SocketIO
Socket.IO integration for Flask applications
Flask-SocketIO is an extension for the Flask web framework that enables real-time bi-directional communication between clients and servers using WebSockets or long-polling fallbacks, making it possible to build interactive applications like chat systems, live dashboards, and collaborative tools. It abstracts the complexities of asynchronous sockets by providing a familiar Flask-style API where developers can define event handlers that trigger on client messages, broadcast to connected users, and manage namespaces and rooms. The extension supports multiple asynchronous workers through integrations with popular async servers like eventlet or gevent, allowing scalable handling of concurrent connections. It also includes features such as session and user tracking across socket connections, JSON message support, and simple decorators to bind events to handler functions. -
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Flowbite
The most popular and open-source library of Tailwind CSS components
Build websites even faster with components on top of Tailwind CSS. Start developing with an open-source library of over 600+ UI components, sections, and pages built with the utility classes from Tailwind CSS and designed in Figma. You can now also get started with open-source component libraries built for frameworks such as React, Vue.js, Svelte and Angular. Explore the whole collection of over 58 open-source UI components and interactive elements built with the utility classes from Tailwind CSS and Flowbite. Get started with over 310+ block sections coded with Tailwind CSS and Flowbite to build high-quality website pages. Get started with the most advanced Figma Design System built for Tailwind CSS and Figma and upgrade your designer toolkit to the next level. Learn more about the Pro version of Flowbite which includes a Figma design kit based on the utility classes from Tailwind CSS and hundreds of coded pages and components including application UI. -
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Flowbite Svelte
Official Svelte components built for Flowbite and Tailwind CSS
Flowbite Svelte is an official UI component library that brings the Flowbite design system into the Svelte ecosystem, enabling developers to build modern web applications using reusable components powered by Tailwind CSS. The library provides a comprehensive collection of interactive elements such as modals, dropdowns, navigation bars, forms, and data display components, all implemented with Svelte’s reactive model rather than external JavaScript logic. Because Svelte compiles components into efficient JavaScript that directly manipulates the DOM, Flowbite Svelte benefits from high performance and minimal runtime overhead while still offering rich interactivity. The project is designed to accelerate frontend development by offering ready-made building blocks that can be easily customized using Tailwind utility classes, making it suitable for both rapid prototyping and production applications. -
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Flutter Examples
Simple basic isolated apps, for budding flutter devs
flutter-examples is a repository of standalone example Flutter apps that demonstrate various features, integrations, and UI / functional behaviors in Flutter. It covers many use-cases (navigation, state, HTTP, dependency injection, Firebase, etc.) so that developers can clone, run, and inspect working code to learn how to implement those features. Please keep PR titles easy to read and descriptive of changes, this will make them easier to merge. Complete apps with multiple features. Examples of integration with Firebase (analytics, crashlytics). Flutter V2. has officially introduced web support on its stable branch. Today, I'm excited to present a Flutter-based Admin panel, often referred to as a dashboard UI. This Flutter dashboard template, which you can find on GitHub, is a comprehensive solution for your app's backend needs. It comes with a wide array of features including charts, tables, and neatly designed info cards. -
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FlutterFire
A collection of Firebase plugins for Flutter apps
FlutterFire is a collection of Flutter plugins that integrate Firebase services into Flutter applications. It provides modular plugins (e.g. firebase_auth, cloud_firestore, firebase_messaging, etc.) such that apps only include what they need. The central plugin is firebase_core, which initializes the Firebase app instance. Through FlutterFire, developers can use authentication, real-time database, Firestore, cloud functions, analytics, messaging, storage, and more from their Flutter code. The project includes tooling (e.g. the FlutterFire CLI) to assist in configuring Firebase projects and managing plugin versions. The goal is to make Firebase a seamless, first-class backend option for cross-platform Flutter apps, handling platform differences (iOS, Android, web) under the hood. -
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Functional programming library golang
functional programming library for golang
This library aims to provide a set of data types and functions that make it easy and fun to write maintainable and testable code in Golang. Write many small, testable, and pure functions, i.e. functions that produce output only depending on their input and that do not execute side effects. Offer helpers to isolate side effects into lazily executed functions (IO). Expose a consistent set of compositions to create new functions from existing ones. For each data type, there exists a small set of composition functions. These functions are called the same across all data types, so you only have to learn a small number of function names. The semantic of functions of the same name is consistent across all data types. -
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GDAL.jl
Thin Julia wrapper for GDAL - Geospatial Data Abstraction Library
Julia wrapper for GDAL - Geospatial Data Abstraction Library. This package is a binding to the C API of GDAL/OGR. It provides only a C style usage, where resources must be closed manually, and datasets are pointers. Other packages can build on top of this to provide a more Julian user experience. See for example ArchGDAL.jl. Most users will want to use ArchGDAL.jl instead of using GDAL.jl directly. -
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GOV.UK Vue
A Vue 3 component library for GOV.UK Frontend and the GOV.UK Design
GOV.UK Vue is a Vue 3 component library for GOV.UK Frontend. It enables you to build Vue apps based on the GOV.UK Design System. -
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GPTs
Leaked prompts of GPTs
GPTs is a repository that collects system prompts and instruction sets associated with custom GPT-style assistants. It is organized as a prompt archive rather than an application, SDK, or runtime tool. The repository is useful for people studying how different assistants are framed, constrained, and guided through system-level instructions. It can help prompt engineers, researchers, and AI product builders compare prompt structures, role definitions, safety language, tool instructions, and response formatting patterns. Because the project involves prompts described as leaked or contributed from multiple sources, users should approach it carefully and avoid reusing anything that may be private, proprietary, or unauthorized. Its main value is as a research reference for understanding prompt design patterns in real assistant configurations. -
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General
The official registry of general Julia packages
General is the default package registry for the Julia programming language, providing the foundation for Julia’s package manager, Pkg.jl. It stores essential information about packages, including versions, dependencies, and compatibility constraints, and serves as the central hub for the Julia package ecosystem. The registry is open to all and makes it easy for developers and researchers to access, install, and share packages across a wide range of domains. New packages and updates are added through pull requests, often automated via Registrator.jl, with qualifying requests merged automatically while others undergo manual review. The system also integrates with TagBot to automate tagging of package releases once registered. By maintaining clear rules for licensing and contribution, General ensures a reliable and transparent process for managing Julia’s open source package ecosystem. -
20
Gestouch
Gestouch: multitouch gesture recognition library for Flash
Gestouch is an ActionScript 3 library designed to enhance gesture handling in Flash/AIR projects, offering customizable recognition of single- and multi-touch gestures along with conflict management—going beyond the limited default Flash gesture support. Pretty neat architecture. Very similar to Apple’s UIGestureRecognizers (Cocoa-Touch UIKit). Works with any display list hierarchy structures: native DisplayList (pure AS3/Flex/your UI framework), Starling or ND2D (Stage3D) and 3D libs. Doesn’t require any additional software (may use runtime’s build-in touch support). Works across all platforms (where Flash Player or AIR run of course) in exactly same way. Extendable. You can write your own application-specific gestures. -
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GitHub Actions Runner Images
GitHub Actions runner images
This repository contains the source code used to create the VM images for GitHub-hosted runners used for Actions, as well as for Microsoft-hosted agents used for Azure Pipelines. To build a VM machine from this repo's source, see the instructions. -
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Glob
glob functionality for node.js
Glob is a widely used JavaScript library that implements file path pattern matching using glob syntax, enabling developers to efficiently locate files and directories that match wildcard expressions. It provides functionality similar to Unix shell globbing but is designed to work consistently across platforms within Node.js environments. The library supports complex patterns such as recursive directory matching, brace expansion, and character ranges, making it suitable for build tools, CLIs, and automation scripts. node-glob is optimized for performance and reliability when traversing large file trees, and it exposes both asynchronous and synchronous APIs. Because of its maturity and flexibility, it is a foundational dependency in many JavaScript tooling ecosystems. Overall, node-glob serves as a core filesystem discovery utility for Node.js applications that rely on pattern-based file matching. -
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Go Examples
Go(lang) examples
Now with an online live editor with Golang support. Try out and edit the examples directly in the browser. These examples explain the basics of Golang. There will be more examples from time to time. The examples are divided into three levels of difficulty. The Beginner section contains very easy examples, starting with Hello World but also containing a few easy algorithms. The Advanced section uses more complicated features of Golang. Finally, the Expert section contains applications like telnet-clients or http-server (even with SSL). If you want even more Golang examples, you can take a look at my other go repositories at GitHub. To execute a Golang program, write go run at the cli followed by the name of the file. You also can convert the file to a binary executable program by the command go build. One great aspect of Golang is, that you can start go applications via go run name.go, but also compile it to an executable with go build name.go. -
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Go Meta Linter
Runs a whole bunch of those linters and normalizes their output
Go Meta Linter is a deprecated Go meta-linter that was created to run many Go static analysis tools at the same time. It normalizes their results into one consistent output format so editors, IDEs, and CI systems can read problems more easily. The tool helps developers catch issues such as unused code, unchecked errors, duplicated code, style problems, security concerns, and suspicious compiler-level behavior. It supports a broad collection of linters and lets users customize which checks run for each project. It can also be configured through a JSON file, which makes it easier to share linting rules across a team. Although the project is archived and users are directed toward golangci-lint, it remains a useful example of early Go lint aggregation. -
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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.
