Open Source Linux Libraries - Page 31
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Cursor plugins
Cursor plugin specification and official plugins
Cursor Plugins is the official repository for Cursor’s plugin specification and first-party plugin collection. It provides standalone plugin packages for extending agent workflows around development tools, frameworks, and SaaS products. Each plugin lives in its own directory and includes a .cursor-plugin/plugin.json manifest. The collection covers areas such as continual learning, team workflows, code review, documentation, orchestration, and agent compatibility. It also includes tooling for scaffolding and validating new plugins. The repository serves as both a working catalog of official extensions and a reference structure for developers building compatible Cursor plugins. -
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DASH V4
Blazing fast library to create a functional dashboard on ESP8266
DASH V4 is the 4th-gen blazing fast library to create a functional & real-time dashboard for ESP8266 & ESP32 microcontrollers. This library includes charts, display cards, interactive buttons and many more components to create a perfect dashboard that is accessible locally via your IoT device's IP. DASH does not require any kind of internet connection, everything is stored locally. -
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DataTables
Tables plug-in for jQuery
DataTables is a jQuery plugin that enhances HTML tables with powerful dynamic features such as searching, sorting, and pagination. It transforms plain static tables into interactive data explorers with minimal code changes. Developers can customize its behavior through an extensive API, adding export buttons, column visibility toggles, custom filters, and integration with remote data sources via Ajax. The plugin is modular, with a core that provides essentials and a wide range of extensions that cover advanced functionality like fixed headers, responsive layouts, and inline editing. Styling can be adapted to frameworks like Bootstrap or Foundation, making it blend seamlessly into modern UIs. Because it handles large datasets efficiently, DataTables has become a go-to component for dashboards, reporting tools, and admin interfaces. -
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DeepLabv3 Plus
Encoder-Decoder with Atrous Separable Convolution
DeepLabv3 Plus is a PyTorch implementation of DeepLabv3+ for semantic segmentation. It implements the encoder-decoder architecture with atrous separable convolution and provides a practical workflow for training, prediction, and mIoU evaluation. The repository supports VOC-style segmentation datasets and includes utilities for annotation generation, JSON dataset conversion, model summary inspection, prediction, and metric calculation. It provides pretrained weight workflows for MobileNetV2 and Xception backbones and notes that the correct backbone should be selected during training and prediction. The project also supports multi-GPU training, multiple backbones, learning rate schedules with step and cosine options, optimizer selection, and adaptive learning rate behavior based on batch size. It is useful for users who want a stronger semantic segmentation baseline than U-Net for scene-level segmentation tasks. -
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DeepXDE
A library for scientific machine learning & physics-informed learning
DeepXDE is a library for scientific machine learning and physics-informed learning. DeepXDE includes the following algorithms. Physics-informed neural network (PINN). Solving different problems. Solving forward/inverse ordinary/partial differential equations (ODEs/PDEs) [SIAM Rev.] Solving forward/inverse integro-differential equations (IDEs) [SIAM Rev.] fPINN: solving forward/inverse fractional PDEs (fPDEs) [SIAM J. Sci. Comput.] NN-arbitrary polynomial chaos (NN-aPC): solving forward/inverse stochastic PDEs (sPDEs) [J. Comput. Phys.] PINN with hard constraints (hPINN): solving inverse design/topology optimization [SIAM J. Sci. Comput.] Residual-based adaptive sampling [SIAM Rev., arXiv] Gradient-enhanced PINN (gPINN) [Comput. Methods Appl. Mech. Eng.] PINN with multi-scale Fourier features [Comput. Methods Appl. Mech. Eng.] -
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Dorks collections list
List of Github repositories and articles with list of dorks
Dorks Collections List is a curated index of repositories, articles, query collections, extensions, and tools related to advanced search operators. It covers multiple search and discovery platforms rather than focusing only on Google. Sections include resources for GitHub, Shodan, Censys, VirusTotal, Netlas, DuckDuckGo, Yandex, code hosting, cloud services, onion indexes, and other specialized targets. The repository also groups material by research purpose, such as finding files, technical assets, public documents, backlinks, or bug-bounty information. Separate lists are stored for selected topics including cloud providers, CCTV, movies, and onion searches. It also links to software that automates or assists with constructing and running advanced queries. The project is best treated as an OSINT and security-research reference, with potentially sensitive query collections requiring authorized and responsible use. -
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Dropwizard
Simple library for building production-ready RESTful web services
Dropwizard is a Java framework for developing ops-friendly, high-performance, RESTful web services. Dropwizard pulls together stable, mature libraries from the Java ecosystem into a simple, light-weight package that lets you focus on getting things done. Dropwizard has out-of-the-box support for sophisticated configuration, application metrics, logging, operational tools, and much more, allowing you and your team to ship a production-quality web service in the shortest time possible. Dropwizard straddles the line between being a library and a framework. Its goal is to provide performant, reliable implementations of everything a production-ready web application needs. Because this functionality is extracted into a reusable library, your application remains lean and focused, reducing both time-to-market and maintenance burdens. -
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Dropzone
Drag'n'drop library, supports image previews and shows progress bars
Dropzone is a TypeScript-based browser library that turns ordinary HTML elements into drag-and-drop file upload interfaces. It handles file selection, previews, progress reporting, and XHR-based uploading with minimal setup. Multiple files can be processed together, and large files can be divided into smaller chunks for more reliable transfer. Image uploads can generate thumbnails and resize images in the browser before transmission. The library also supports Amazon S3 multipart upload workflows. Developers can replace default event handlers and styling to fully customize appearance and behavior. Version 6 ships its own TypeScript definitions and is maintained in a monorepo containing the library, documentation, website, tests, and examples. -
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EasyExcel
Lightweight Java library developed by Alibaba for reading and writing
EasyExcel is a Java library focused on reading and writing Excel files with very low memory usage, making it suitable for large datasets that overwhelm traditional APIs. It uses streaming/event-driven parsing to avoid loading entire workbooks into memory, and it maps rows to Java objects via simple annotations. Writers support multiple sheets, custom styles, merged cells, and template-based filling so production reports remain maintainable. The API emphasizes developer ergonomics: callbacks are straightforward, converters handle common type transformations, and header/column mapping is explicit. It integrates cleanly into Spring/enterprise stacks, often as part of import/export pipelines or scheduled report generation. By optimizing both performance and ease of use, EasyExcel reduces operational risk around big Excel jobs in web services and back-office tools. -
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End-To-End
End-To-End is a crypto library to encrypt, decrypt, digital sign
End-to-End was a client-side encryption project that prototyped OpenPGP-compatible, end-to-end encrypted messaging in the browser. The idea was to move cryptographic operations entirely to the user’s machine—key generation, encryption, and signature—so messages remain unreadable to intermediaries. It packaged a JavaScript crypto library, UI elements, and a browser extension workflow that could integrate with webmail-style UIs without server changes. The codebase emphasized careful key handling, usability experiments around key discovery and verification, and mitigations against common web threats like XSS. While the project ultimately transitioned into successor efforts, it helped push discussions about practical E2EE in mainstream web apps and the ergonomics of PGP-style workflows. Security researchers and product teams used it as a design reference for client-side cryptography and the trade-offs of operating inside a hostile web page. -
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Euler
A distributed graph deep learning framework.
As a general data structure with strong expressive ability, graphs can be used to describe many problems in the real world, such as user networks in social scenarios, user and commodity networks in e-commerce scenarios, communication networks in telecom scenarios, and transaction networks in financial scenarios. and drug molecule networks in medical scenarios, etc. Data in the fields of text, speech, and images is easier to process into a grid-like type of Euclidean space, which is suitable for processing by existing deep learning models. Graph is a data type in non-Euclidean space and cannot be directly applied to existing methods, requiring a specially designed graph neural network system. Graph-based learning methods such as graph neural networks combine end-to-end learning with inductive reasoning, and are expected to solve a series of problems such as relational reasoning and interpretability that deep learning cannot handle. -
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Excelize
Go language library for reading and writing Microsoft Excel
Excelize is a library written in pure Go providing a set of functions that allow you to write to and read from XLAM / XLSM / XLSX / XLTM / XLTX files. With Excelize chart generation and management is as easy as a few lines of code. You can build charts based off data in your worksheet or generate charts without any data in your worksheet at all. Excelize provided streaming API for generating or reading data from a worksheet with huge amounts of data. Simply runs Excelize on macOS, Linux and Windows operating systems without a hustle. With Excelize chart generation and management is as easy as a few lines of code. You can build charts based on data in your worksheet or generate charts without any data in your worksheet at all. -
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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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FS2
Compositional, streaming I/O library for Scala
FS2 (“Functional Streams for Scala”) is a purely functional, effectful abstraction for stream processing on the JVM. Built on Cats Effect, it enables compositional resource-safe streaming workflows with robust error handling, back-pressure, pull/push semantics, and support for concurrent and interruptible pipelines. -
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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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Fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python
Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language modeling and other text generation tasks. We provide reference implementations of various sequence modeling papers. Recent work by Microsoft and Google has shown that data parallel training can be made significantly more efficient by sharding the model parameters and optimizer state across data parallel workers. These ideas are encapsulated in the new FullyShardedDataParallel (FSDP) wrapper provided by fairscale. Fairseq can be extended through user-supplied plug-ins. Models define the neural network architecture and encapsulate all of the learnable parameters. Criterions compute the loss function given the model outputs and targets. Tasks store dictionaries and provide helpers for loading/iterating over Datasets, initializing the Model/Criterion and calculating the loss. -
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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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Fetch for Android
The best file downloader library for Android
Fetch is a simple, powerful, customizable file download manager library for Android. Simple and easy to use API. If you are saving downloads outside of your application's sandbox, you will need to add the following storage permissions to your application's manifest. For Android SDK version 23(M) and above, you will also need to explicitly request these permissions from the user. Continuous downloading in the background. Concurrent downloading support. Ability to pause and resume downloads. Set the priority of a download. Network-specific downloading support. Ability to retry failed downloads. Ability to group downloads. Easy progress and status tracking. Download remaining time reporting (ETA). Download speed reporting. Save and Retrieve download information anytime. Notification Support. Storage Access Framework, Content Provider and URI support. -
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File Nesting Config for VS Code
Config of File Nesting for VS Code
This project provides a curated configuration snippet for the file-nesting feature of Visual Studio Code, authored by Anthony Fu (antfu). The goal is to help developers organize large code-bases by collapsing “secondary” or generated files (for example build artifacts, tests, config variants) under their primary files in the Explorer tree. It supports VS Code version 1.67 and above by enabling the built-in "explorer.fileNesting" setting. It is somewhat opinionated, offering a broad list of patterns (for example hiding .env.*, *.freezed.dart, etc) and it also includes an optional VS Code extension to automatically update the nesting config from the repo. Because the snippet is generated via a script (update.mjs), it is maintained for many languages, frameworks, and file types. The benefit is much cleaner project file trees, reduced noise, easier navigation, and less time wasted hunting through duplicate or generated files. -
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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 Rust Bridge
Rust binding generator, feature-rich, but seamless and simple
flutter_rust_bridge is a toolchain that generates ergonomic bindings between Rust and Dart/Flutter so you can write performance-critical logic in Rust while building UI in Flutter. It abstracts away the low-level FFI details, letting developers define Rust functions and data structures that are safely callable from Dart. The project supports passing complex types, handling async operations and streams, and integrating with Flutter across mobile and desktop targets. By leaning on Rust’s memory safety and zero-cost abstractions, it enables compute-heavy tasks—parsing, crypto, image/audio processing, and more—without sacrificing Flutter’s developer experience. Build scripts and templates streamline packaging and distribution so the Rust side fits cleanly into CI and multi-platform releases. In practice, teams gain a maintainable way to share one performant Rust core across multiple Flutter apps while keeping the UI reactive and fast. -
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FlutterUnit
All Platform Flutter Experience App
FlutterUnit is a Flutter-based educational app for measuring various physical units and conversions. It includes calculators for multiple unit categories (length, mass, volume, etc.), conversion tools, and UI components demonstrating modular architecture and state management patterns. Ideal for learning Flutter UI & business logic structure. -
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GH Archive
GH Archive is a project to record the public GitHub timeline
GH Archive collects public GitHub activity and preserves it as a historical dataset for analysis. It polls GitHub’s event feed and groups the raw responses into compressed hourly JSON archives. The records cover actions such as commits, forks, issue activity, comments, and repository membership changes. Researchers can download specific hours, days, or longer periods with ordinary HTTP tools and process the events in their own systems. The dataset is also published through Google BigQuery for large-scale SQL-style exploration without downloading every archive. Its structure supports trend analysis, visualizations, machine learning, and open-source ecosystem research. The repository contains the crawler, supporting scripts, and website code, while the actual event files are hosted separately. -
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Gio.js
A declarative 3D globe data visualization library built with Three.js
Gio.js is an open source library for web 3D globe data visualization built with Three.js. What makes Gio.js different is that it is simple to use Gio.js to customize a 3D data visualization model in a declarative way, add your own data, and integrate it into your own modern web application. Gio.js is an open source library for web 3D globe data visualization built with Three.js. What makes Gio.js different is that it is simple to use Gio.js to customize a 3D data visualization model in a declarative way, add your own data, and integrate it into your own modern web application. This library is inspired by the Arms Trade Visualization project developed by Michael Chang and presented during Google Ideas INFO 2012. See original post. With Gio.js, it is easy to reproduce this fantastic data visualization model, and integrate it into web applications. -
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Gitnuro
A FOSS Git multiplatform client for newbies and pros
A FOSS Git client based on (Jetbrains) Compose and JGit. The main goal of Gitnuro is to provide a multiplatform open-source Git client without any kind of constraint to how you can use it or rely on web technologies.
