Open Source Libraries - Page 13
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Goutoujunshi
A Codex dating strategist who first captures emotions
Goutoujunshi is a Codex relationship-advice skill that combines emotional support, structured relationship analysis, and concrete next-step planning. It separates known facts, assumptions, and unknowns before evaluating attraction, reciprocity, risk, opportunity cost, and longer-term options. The skill can analyze user summaries, exported conversations, and chat screenshots while keeping track of who said what. Its knowledge base draws from relationship psychology, personality research, communication, sexuality, family studies, law, sociology, philosophy, and breakup recovery. Advice can be turned into a sendable message, invitation plan, first-date outline, observation window, or practice conversation. It supports diverse sexual orientations, gender identities, relationship structures, and cultural contexts without assuming fixed gender roles. Optional local memory can preserve a concise relationship profile across tasks after explicit user consent. -
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HikariCP
A solid, high-performance, JDBC connection pool at last
HikariCP is a high-performance JDBC connection pooling library designed to offer minimal overhead and maximum throughput. It aims for simplicity and stability, concentrating on fast connection acquisition and minimal latency under load. Its internals manage a pool of connections aggressively but smartly, with options such as leak detection, timeout thresholds, and adaptive connection retirement. Because it avoids heavy internal locking, it scales well in high-concurrency environments, making it a popular choice in microservices and high-throughput web backends. Metrics and instrumentation hooks (for example, via Dropwizard or Micrometer) allow runtime visibility into pool usage and health. HikariCP’s focus is on doing the essential work of pooling correctly and efficiently, rather than bundling extraneous features. -
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Impacket
A collection of Python classes for working with network protocols
Impacket is a collection of Python classes designed for working with network protocols. It was primarily created in the hopes of alleviating some of the hindrances associated with the implementation of networking protocols and stacks, and aims to speed up research and educational activities. It provides low-level programmatic access to packets, and the protocol implementation itself for some of the protocols, like SMB1-3 and MSRPC. It features several protocols, including Ethernet, IP, TCP, UDP, ICMP, IGMP, ARP, NMB and SMB1, SMB2 and SMB3 and more. Impacket's object oriented API makes it easy to work with deep hierarchies of protocols. It can construct packets from scratch, as well as parse them from raw data. -
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Inject
Hot Reloading for Swift applications
Hot reloading workflow helper that enables you to save hours of time each week, regardless if you are using UIKit, AppKit or SwiftUI. Hot reloading is a technique allowing you to get rid of compiling your whole application and avoiding deploy/restart cycles as much as possible, all while allowing you to edit your running application code and see changes reflected as close as possible to real-time. This makes you significantly more productive by reducing the time you spend waiting for apps to rebuild, restart, re-navigate to the previous location where you were in the app itself, re-produce the data you need. You don’t need to add conditional compilation or remove Inject code from your applications for production, it's already designed to behave as no-op inlined code that will get stripped by LLVM in non-debug builds. -
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Luaj
Lightweight, fast, Java-centric Lua interpreter
Lightweight, fast, Java-centric Lua interpreter written for JME and JSE, with string, table, package, math, io, os, debug, coroutine & luajava libraries, JSR-223 bindings, all metatags, weak tables and unique direct lua-to-java-bytecode compiling. -
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MMDeploy
OpenMMLab Model Deployment Framework
MMDeploy is an open-source deep learning model deployment toolset. It is a part of the OpenMMLab project. Models can be exported and run in several backends, and more will be compatible. All kinds of modules in the SDK can be extended, such as Transform for image processing, Net for Neural Network inference, Module for postprocessing and so on. Install and build your target backend. ONNX Runtime is a cross-platform inference and training accelerator compatible with many popular ML/DNN frameworks. Please read getting_started for the basic usage of MMDeploy. -
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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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Open Source iOS Apps
Collaborative List of Open-Source iOS Apps
A community-maintained directory of real-world, open-source iOS applications. It showcases a variety of apps (mostly written in Swift or Objective-C) covering utilities, UI examples, games, and more—as a learning reference or starting point for iOS developers. Help analyse individuals’ travel and trace their movements when cases of infection arise. Helps developers learn architecture patterns like MVVM, Combine, and SwiftUI. Regularly updated with projects reflecting current iOS development trends. -
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PdfPig
Read and extract text and other content from PDFs in C#
This project allows users to read and extract text and other content from PDF files. In addition the library can be used to create simple PDF documents containing text and geometrical shapes. -
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Puppeteer
Headless Chrome Node.js API
Puppeteer is a headless Node library that provides a high level API for controlling Chromium or Chrome over the DevTools protocol. It requires zero setup and comes bundled with the Chromium version most suited to it. Puppeteer is headless by default, making it fast to run. However, it can also be set to run full or non-headless Chrome or Chromium, simply set the headless option when launching a browser. Many of the things you can do manually in the browser, you can also do with Puppeteer such as generate page screenshots and PDFs, crawl a Single-Page Application, test Chrome extensions and more. -
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Requests
A simple, yet elegant, HTTP library.
Requests is the de facto HTTP library for Python—simple, elegant, and human-friendly. It wraps urllib3 to provide intuitive methods for sending HTTP/1.1 requests, handling sessions, cookies, redirects, authentication, proxies, and more. -
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Scenery Zine
Turn ordinary images into pages worth staying on
Gathered Scenes Zine is a collection of Codex image-generation skills that turns ordinary photographs into tactile editorial artworks. It offers two complementary paths: one preserves the source photo as a visual anchor, while the other distills the scene into an original illustration. Each workflow first studies subjects, spacing, color, motion, negative space, and emotional tension. It then reduces the scene to its most important relationships instead of applying a fixed filter. The visual language favors paper texture, restrained typography, structural color, abstraction, and clear composition. Users install the skills into Codex, upload a photo, choose a path, and optionally specify relationships or moods to preserve. The repository also documents representative source-to-result case studies and uses a personal noncommercial license. -
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SciPy
SciPy library main repository
This is the main repository for the SciPy library, one of the core packages that make up the SciPy stack. SciPy is an open source software used in the fields of mathematics, science, and engineering, with modules for statistics, optimization, integration, linear algebra, signal and image processing, and many more. The SciPy library contains many of the user-friendly and efficient numerical routines, including those for numerical integration, interpolation, and optimization. SciPy is built to work with NumPy, a software that provides convenient and fast N-dimensional array manipulation. Both SciPy and NumPy run on all popular operating systems, are fast and easy to install, and are powerful yet easy to use. They’re currently depended upon by numerous leading scientists and engineers all over the world. Try them for yourself! -
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Seerr
Open-source media request and discovery manager for Jellyfin
Seerr is a free, open-source web application for managing and fulfilling user requests for media content in your personal media server ecosystem. It integrates seamlessly with popular media servers like Jellyfin, Plex, and Emby, allowing users to browse catalogs and make automated requests for items they want added to the library. Seerr also integrates with backend automation tools such as Sonarr, Radarr, and others to automatically handle content delivery once a request is approved. The project emerged from a merge of similar tools to create a single unified codebase focused on elegant media discovery, streamlined request flows, and a modern UI. It’s designed for both home users and self-hosters who want an easier way to coordinate media requests among family, friends, or community members. Seerr’s architecture supports plugins, themes, and APIs for extensibility, and the community continues to build add-ons and mobile extensions. -
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Swift Playgrounds
Better playgrounds that work both for Objective-C and Swift
Playgrounds is an enhanced Swift playground-style project that supports both Swift and Objective-C experimentation. It was created to improve the quick code-testing experience by avoiding the traditional edit, compile, run, and debug cycle. The project lets developers try small ideas, inspect results quickly, and explore language behavior in a more interactive workflow. Unlike standard Swift-only playground assumptions, it highlights support for Objective-C as part of the same experimentation model. It is useful for iOS and macOS developers who want a lightweight scratchpad for APIs, language features, and small implementation tests. Its main value is making fast native-code exploration more convenient for mixed Swift and Objective-C environments. -
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TrackersListCollection
A list of popular BitTorrent Trackers
TrackersListCollection is a daily-updated collection of BitTorrent tracker server lists, curated and filtered from across the internet to build a “best of” list and a full list for usage in torrent clients, automation, or performance tuning. The project scans public trackers, tests their responsiveness or status, categorises them (e.g., all trackers vs best trackers), and makes plain-text files available (like best.txt, all.txt) that can be included in download clients or scripts. Because trackers can go offline or degrade over time, the daily refresh schedule is crucial for maintaining a high-quality list. The repo also includes metadata and mirrors to handle international usage and multiple download sources. For people who use torrent infrastructure, ensure peers connect reliably, or want to automate external tracker lists for aria2 or other clients, this is a practical and well-maintained source. -
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Tracy Profiler
Frame profiler
A real-time, nanosecond resolution, remote telemetry, hybrid frame, and sampling profiler for games and other applications. Tracy supports profiling CPU (Direct support is provided for C, C++, Lua and Python integration. At the same time, third-party bindings to many other languages exist on the internet, such as Rust, Zig, C#, OCaml, Odin, etc.), GPU (All major graphic APIs: OpenGL, Vulkan, Direct3D 11/12, OpenCL.), memory allocations, locks, context switches, automatically attribute screenshots to captured frames, and much more. -
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Trust Wallet Core
Cross-platform, cross-blockchain wallet library
Trust Wallet Core is an open source, cross-platform, mobile-focused library implementing low-level cryptographic wallet functionality for a high number of blockchains. It is a core part of the popular Trust Wallet, and some other projects. Most of the code is C++ with a set of strict C interfaces, and idiomatic interfaces for supported languages: Swift for iOS and Java for Android. Wallet Core supports more than 50 blockchains, Bitcoin, Ethereum, Binance Chain, and most major blockchain platforms. For new coins, you need to implement address handling and signing functionality in the wallet-core. For new coins on already supported blockchains or variations of already supported blockchains, please consider proper reuse of existing implementation. The Trust Wallet development team is always striving to add more blockchains that will be essential for developers and wallet users. We choose blockchains carefully based on the impact they will have for our community. -
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Ultroid
Telegram UserBot, Built in Python Using Telethon lib
Ultroid, a pluggable telegram userbot, made in python using Telethon! Ultroid has been written from scratch, making it more stable and less crashes. Ultroid warns you when you try to install/execute dangerous stuff (people nowadays make plugins to hack user accounts, Ultroid is safe). Unlike many others userbots that are being suspended by Heroku, Ultroid doesn't get suspended. Ultroid has been written from scratch, making it more stable and less of crashes. Error handling been done in the best way possible, such that the bot doesn't crash and stop all of a sudden. Ultroid has minimal amount of plugins (just the necessary ones) in the main repository, and all the other less-useful stuff in the addons repository. This facilitates quick deployments and lag-free use. Ultroid can install any plugin from the most of the other 'userbots' without any issue. -
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Windows UI Library
Windows 10 native controls and Fluent styles for your applications
WinUI is a user interface layer that contains modern controls and styles for building Windows apps. As the native UI layer in Windows it embodies Fluent Design, giving each Windows app the polished feel that customers expect. WinUI 2 is a library of controls that provides official native Microsoft UI controls and features for Windows UWP apps. WinUI 2 can be used in any Windows 10 UWP XAML app, or in a Xamarin.Forms app running on Windows 10 using native view embedding. WinUI 3 is the next generation of the WinUI framework. It dramatically expands WinUI into a full UX framework, making WinUI available for all types of Windows apps, from Win32 to UWP, for use as the UI layer. You can build new Windows apps using WinUI 3, which ships as a part of the Windows App SDK. The latest available stable release is the Windows App SDK 0.8 (previously called Project Reunion). With this release, you can ship production Desktop apps to the Microsoft Store. -
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Zipline Reloaded
Zipline, a Pythonic Algorithmic Trading Library
Zipline Reloaded is a maintained Python library for event-driven backtesting of algorithmic trading strategies. It continues the original Zipline project after Quantopian ended operations. Developers write trading algorithms while the engine simulates orders, market events, portfolio changes, and strategy performance over historical data. Common statistics such as moving averages and linear regression are available within algorithm workflows. Pandas-based input and output integrate naturally with the broader Python data-science ecosystem. Strategies can also use libraries such as SciPy, Matplotlib, statsmodels, and scikit-learn for analysis and modeling. The maintained fork updates dependencies and compatibility so the established Zipline workflow remains usable on modern Python environments. -
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assistant-ui
Typescript/React Library for AI Chat
The assistant-ui project is an open-source TypeScript and React library designed to build production-grade AI chat interfaces quickly and efficiently. It provides a set of composable UI primitives that allow developers to construct fully customized conversational experiences without relying on monolithic components. The library handles complex behaviors such as streaming responses, auto-scrolling, accessibility, and real-time updates out of the box. It is designed to integrate with a wide range of AI backends and providers, making it highly flexible for different architectures. The system also supports advanced features like tool rendering, attachments, and interactive UI elements, enabling rich user experiences. With strong TypeScript support and developer-friendly defaults, it accelerates the process of building and deploying AI-powered applications. Overall, assistant-ui serves as a comprehensive frontend foundation for modern conversational AI systems. -
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jQuery Validation Plugin
jQuery Validation Plugin library sources
The jQuery Validation Plugin provides drop-in validation for your existing forms, while making all kinds of customizations to fit your application really easy. This jQuery plugin makes simple clientside form validation easy, whilst still offering plenty of customization options. It makes a good choice if you’re building something new from scratch, but also when you’re trying to integrate something into an existing application with lots of existing markup. The plugin comes bundled with a useful set of validation methods, including URL and email validation, while providing an API to write your own methods. All bundled methods come with default error messages in english and translations into 37 other languages. The plugin was initially written and maintained by Jörn Zaefferer, a member of the jQuery team, lead developer on the jQuery UI team and maintainer of QUnit. It was started back in the early days of jQuery in 2006, and updated and improved since then. -
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jsoup
Java library for working with real-world HTML
jsoup is a Java library for working with real-world HTML. It provides a very convenient API for fetching URLs and extracting and manipulating data, using the best of HTML5 DOM methods and CSS selectors. jsoup implements the WHATWG HTML5 specification, and parses HTML to the same DOM as modern browsers do. jsoup is designed to deal with all varieties of HTML found in the wild; from pristine and validating, to invalid tag-soup; jsoup will create a sensible parse tree. The parser will make every attempt to create a clean parse from the HTML you provide, regardless of whether the HTML is well-formed or not. You have HTML in a Java String, and you want to parse that HTML to get at its contents, or to make sure it's well formed, or to modify it. The String may have come from user input, a file, or from the web. -
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libnx
Library for Switch Homebrew
Nintendo Switch AArch64-only userland library. Based on libctru. Library for Switch Homebrew.
