Open Source Libraries - Page 33
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1
Fresco
An Android library for managing images and the memory they use
Fresco’s image pipeline will load images from the network, local storage, or local resources. To save data and CPU, it has three levels of cache; two in memory and another in internal storage. Fresco’s Drawee shows a placeholder for you until the image has loaded and then automatically shows the image when it arrives. When the image goes off-screen, it automatically releases its memory. A decompressed image - an Android Bitmap - takes up a lot of memory. This leads to more frequent runs of the Java garbage collector. This slows apps down. The problem is especially bad without the improvements to the garbage collector made in Android 5.0. On Android 4.x and lower, Fresco puts images in a special region of Android memory. It also makes sure that images are automatically released from memory when they’re no longer shown on screen. This lets your application run faster - and suffer fewer crashes. -
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FunctionalPlus
Functional Programming Library for C++
Great code should mostly be self-documenting, but while using C++ in reality you can find yourself dealing with low-level stuff like iterators or hand-written loops that distract from the actual essence of your code. FunctionalPlus is a small header-only library supporting you in reducing code noise and in dealing with only one single level of abstraction at a time. By increasing brevity and maintainability of your code it can improve productivity (and fun!) in the long run. It pursues these goals by providing pure and easy-to-use functions that free you from implementing commonly used flows of control over and over again. -
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GLIntercept
GLIntercept is a OpenGL function call interceptor for Windows
GLIntercept is a powerful OpenGL debugging and tracing tool for Windows that allows developers to intercept and log OpenGL function calls made by applications. It captures real-time graphics API activity, shader sources, textures, and framebuffers, making it invaluable for performance tuning, reverse engineering, and debugging complex rendering problems. GLIntercept can inject itself into any OpenGL application and provide deep inspection capabilities, helping developers visualize pipeline behavior and diagnose rendering issues with minimal intrusion. -
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GNUstep Base Library
The GNUstep is a library of general-purpose Objective C objects
The GNUstep Base Library is part of the GNUstep project, providing an open-source implementation of the Foundation framework, compatible with macOS and iOS. It offers core Objective-C classes and utilities for cross-platform application development. -
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GPT-5 Coding Examples
GPT-5 coding examples
GPT-5 Coding Examples is a demonstration repository showcasing applications generated entirely from a single GPT-5 prompt without hand-written code. The collection highlights GPT-5’s strengths in scaffolding websites, front-end applications, games, and interactive UIs directly from natural-language instructions. Each demo illustrates how developers and non-developers alike can bootstrap functional projects by describing their ideas in plain English. The repository allows users to explore examples locally or through a hosted version, where they can view prompts, inspect generated code, and remix projects. It also provides guidance for experimenting with GPT-5 in different workflows — from using the Codex CLI for terminal-based automation, to integrating with IDEs, to leveraging ChatGPT’s browser-based code generation and preview. While archived as a reference-only resource with no active contributions, GPT-5 Coding Examples remains a source of inspiration for rapid prototyping. -
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GPTImage2Skill
GPT Image 2 prompt gallery, image prompt library, agentic skill
GPTImage2Skill is a curated prompt gallery, agent skill, and command-line workflow for working with GPT Image 2 generation and editing. It provides reusable image prompts across creative, technical, academic, interface, design, photography, typography, gaming, anime, map, tattoo, and reference-editing use cases. The project is designed to help agents and users produce stronger visual outputs without starting from a blank prompt every time. Its gallery is organized into category files so an agent can load only the relevant prompt references instead of overwhelming the context window. It also includes installation paths for skill-capable environments such as Claude Code, Codex, OpenClaw, and other agent runtimes. Overall, it is useful as both a learning resource for prompt structure and a practical toolkit for repeatable image generation workflows. -
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GSY GitHub App Flutter
GSY Github App is a full-featured open-source cross-platform
GSY Github App is a full-featured open-source cross-platform GitHub client built in Flutter. It covers extensive GitHub functionality—repos, issues, PRs, user data—leveraging modern state management (Redux, Riverpod, Provider), multi-language support, theming, network and database optimizations. Available for mobile and desktop (though mobile is the primary focus). -
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Gantt-elastic - Javascript Gantt Chart
Gantt Chart [ javascript gantt chart, gantt component, vue gantt)
Gantt Chart, JavaScript Gantt chart, Gantt component, vue Gantt, vue Gantt chart, responsive Gantt, project manager, vue projects. -
9
Gen.jl
A general-purpose probabilistic programming system
An open-source stack for generative modeling and probabilistic inference. Gen’s inference library gives users building blocks for writing efficient probabilistic inference algorithms that are tailored to their models, while automating the tricky math and the low-level implementation details. Gen helps users write hybrid algorithms that combine neural networks, variational inference, sequential Monte Carlo samplers, and Markov chain Monte Carlo. Gen features an easy-to-use modeling language for writing down generative models, inference models, variational families, and proposal distributions using ordinary code. But it also lets users migrate parts of their model or inference algorithm to specialized modeling languages for which it can generate especially fast code. Users can also hand-code parts of their models that demand better performance. Neural network inference is fast, but can be inaccurate on out-of-distribution data, and requires expensive training. -
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10
Git Time Machine
Atom package that allows you to travel back in commit history
git-time-machine is a user interface (often as an editor plugin or UI extension) that allows users to browse a file’s history visually, stepping back and forth through revisions in Git like a “time machine.” It shows changes to a file over time, lets users compare older states, and often provides diff and blame views to understand how the file evolved. Instead of just opening a commit log or diff, git-time-machine gives an interactive, incremental experience where you can slide through versions and see content changes in place. This is especially helpful when diagnosing when bugs were introduced, exploring regression contexts, or reviewing code evolution visually. For projects with many commits, it accelerates historical exploration, and it is commonly integrated into editors so developers can use it in their working environment. -
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GitHub Cheat Sheet
A list of cool features of Git and GitHub
GitHub Cheat Sheet is a curated list of tips, tricks, and “hidden” features of Git and GitHub assembled into a single, readable cheat sheet. It collects commands, workflows, and UI shortcuts that many developers are not aware of, such as advanced uses of git log, git reflog, GitHub keyboard shortcuts, URL hacks, and useful configuration settings. The project was inspired by Zach Holman’s talks on Git and GitHub secrets and aims to turn those scattered insights into a living document. The cheat sheet is organized into sections like “GitHub Search,” “GitHub Secrets,” “GitHub Security,” “Git Tips,” and so on, so readers can focus on specific aspects of the Git/GitHub workflow. It is maintained as a Markdown README, which means it can be read directly on GitHub, printed, or incorporated into internal docs. With tens of thousands of stars, it has become a popular resource for both newcomers and experienced developers who want to level up their GitHub usage. -
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GoJS
JavaScript diagramming library for interactive flowcharts & org charts
Build interactive flowcharts or flow diagrams. Let your users build, modify, and save diagrams with JSON model output. Visualize state charts and other behavior diagrams. Create diagrams with live updates to monitor state, or interactive diagrams for planning. GoJS allows considerable customization of links and nodes to build all kinds of diagrams. Visualize flow, or connect pipes. Create genogram and medical diagrams, or editable family trees with collapsible levels. Create classic org charts for viewing or editing. Automatic layouts make different visualization options easy. Dynamically add ports and custom link routing. Use data-bindings to save and load routes within the Model JSON. Use groups as containers and subgraphs, with group members bound by their own rules and layouts. Model industrial processes, workflows, SCADA diagrams and more. -
13
GoNB
GoNB, a Go Notebook Kernel for Jupyter
Go is a compiled language, but with very fast compilation, that allows one to use it in a REPL (Read-Eval-Print-Loop) fashion, by inserting a "Compile" step in the middle of the loop -- so it's a Read-Compile-Run-Print-Loop — while still feeling very interactive. GoNB leverages that compilation speed to implement a full-featured (at least it's getting there) Jupyter notebook kernel. As a side benefit it works with packages that use CGO — although it won't parse C code in the cells, so it can't be used as a C kernel. It already includes many goodies: cache between cell of results, contextual help and auto-complete (with gopls), compilation error context (by mousing over), bash command execution, images, html, etc. See the tutorial. It's been heavily used by the author (in developing GoMLX, a machine learning framework for Go), but should still be seen as experimental — if we hear success stories from others, we can change this. -
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Golden Layout
A multi window layout manager for webapps
Golden Layout is a JavaScript layout manager designed for building complex, multi-panel web applications with draggable and resizable components. It enables developers to arrange UI elements into flexible layouts that can be dynamically reconfigured by users through drag-and-drop interactions. The system is particularly useful for dashboards, IDE-like interfaces, and data-heavy applications where multiple panels need to coexist and be rearranged. Golden Layout manages component positioning, visibility, and resizing through a structured layout tree, allowing precise control over how elements are displayed. It also supports saving and restoring layouts, enabling persistence of user configurations across sessions. The library integrates with popular frontend frameworks such as Angular and Vue, and includes support for virtual components to bridge framework-specific rendering models. -
15
Gonum
Set of numeric libraries for the Go programming language
Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more. Gonum is a set of packages designed to make writing numerical and scientific algorithms productive, performant, and scalable. Gonum contains libraries for matrices and linear algebra; statistics, probability distributions, and sampling; tools for function differentiation, integration, and optimization; network creation and analysis; and more. We encourage you to get started with Go and Gonum if you are tired of sluggish performance, and fighting C and vectorization, and also if you are struggling with managing programs as they grow larger. Get Gonum if you want code to be fully transparent, and want the ability to read the source code you use. It is useful if you’d like a compiler to catch mistakes early, but hate fighting linker and unintelligible compile errors. -
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Google API JavaScript Client
Google APIs Client Library for browser JavaScript, aka gapi
This library (often used via gapi) provides a browser-friendly way to call Google APIs using OAuth 2.0 and generated discovery documents. It abstracts discovery, auth, and HTTP details so developers can focus on domain calls like Drive file operations, Calendar events, or YouTube data. The client can load APIs dynamically at runtime, which keeps bundles small and allows late-binding to specific services and versions. It includes helpers for incremental auth, token refresh, and scopes so apps can request only what they need when they need it. Responses are returned as promise-based calls with typed parameters derived from service definitions, simplifying error handling and pagination. Because it runs in the browser, it’s a natural fit for single-page apps that integrate deeply with Google services. -
17
Google CTF
Google CTF
Google CTF is the public repository that houses most of the challenges from Google’s Capture-the-Flag competitions since 2017 and the infrastructure used to run them. It’s a learning and practice archive: competitors and educators can replay tasks across categories like pwn, reversing, crypto, web, sandboxing, and forensics. The code and binaries intentionally contain vulnerabilities—by design—so users can explore exploit chains and patching in realistic settings. The repo also includes infrastructure components and links to a scoreboard implementation, giving organizers reference material for hosting their own events. As a living archive, it documents changes in exploitation trends and defensive techniques year over year. Clear warnings advise against deploying challenge infrastructure in production due to purposeful insecurities. -
18
Google Cloud Dataflow Template Pipelines
Cloud Dataflow Google-provided templates for solving data tasks
DataflowTemplates is the source repository for Google-provided Dataflow templates that are intended to solve large-scale in-cloud data processing tasks without requiring users to build everything from scratch in a full development environment. The repository is centered on templated pipelines powered by Google Cloud Dataflow and Apache Beam, making it easier to run common integration and movement jobs such as data import, export, backup, restore, and bulk API operations. Its structure shows support for multiple generations of templates, including v1 and v2 implementations, as well as related metadata, YAML assets, plugins, and Python components that support broader template execution and maintenance. This design makes the project more than a sample set, because it acts as the implementation base for official Google-provided templates used in real cloud data workflows. -
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Google Maps SDK for iOS Utility Library
Google Maps SDK for iOS Utility Library
google-maps-ios-utils is a collection of open-source utilities that extend the functionality of the Google Maps SDK for iOS. It provides additional features such as clustering, heatmaps, and geometry utilities to enhance map-based applications. -
20
Google Style Guides
Style guides for Google-originated open source projects
Google Styleguide is a comprehensive collection of coding style guides created and maintained by Google to ensure consistency, readability, and maintainability across its vast array of software projects. These guides define best practices and conventions for writing code in multiple programming languages, from C++ and Python to JavaScript, Go, and Swift. By adhering to these standards, developers can more easily collaborate, review code, and maintain high-quality software across teams and open source contributions. Each guide covers a wide range of topics, including naming conventions, file organization, indentation, documentation, and usage of specific language features. The repository also provides supplementary resources such as an Emacs configuration file for Google’s C++ style and references to related guidelines like Effective Dart and Kotlin Style Guide. -
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Google Translate PHP
Free Google Translate API PHP Package
A simple and effective PHP library for translating text using Google Translate without needing an API key. It allows developers to integrate real-time translation features into their applications with minimal setup and supports multiple languages, leveraging Google Translate’s unofficial endpoint. -
22
Goutte
Goutte, a simple PHP Web Scraper
Goutte is a screen scraping and web crawling library for PHP. Goutte provides a nice API to crawl websites and extract data from the HTML/XML responses. Goutte depends on PHP 7.1+. Add fabpot/goutte as a require dependency in your composer.json file. Create a Goutte Client instance (which extends Symfony\Component\BrowserKit\HttpBrowser). Make requests with the request() method. The method returns a Crawler object (Symfony\Component\DomCrawler\Crawler). To use your own HTTP settings, you may create and pass an HttpClient instance to Goutte. For example, to add a 60 second request timeout. Read the documentation of the BrowserKit, DomCrawler, and HttpClient Symfony Components for more information about what you can do with Goutte. Goutte is a thin wrapper around the following Symfony Components: BrowserKit, CssSelector, DomCrawler, and HttpClient. -
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Gradle Advanced Build Version Plugin
A plugin to generate the Android version code and version name
A plugin to generate the Android version code and version name automatically based on git commits number, date and Semantic Versioning. -
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GraphQL Kotlin
Libraries for running GraphQL in Kotlin
graphql-java is one of the most popular JVM-based GraphQL implementations. GraphQL Kotlin is built on top of grahpql-java as it can be easily extended with additional functionality and this implementation has been used and tested by many users. The most common way to create the schema in graphql-java is to first manually write the SDL file. Then write the runtime code that matches this schema to build the GraphQLSchema object. This means that there are two sources of truth for your schema and changes in either have to be reflected in both locations. As your schema scales to hundreds of types and many different resolvers, it can get more difficult to track what code needs to be changed if you want to add a new field, deprecate or delete an existing one, or fix a bug in the resolver code. graphql-kotlin-schema-generator aims to simplify this process by using Kotlin reflection to generate the schema for you. All you need to do is write your schema code in a Kotlin class. -
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Graphene
GraphQL in Python Made Easy
Graphene is a Python library for building GraphQL APIs fast and easily, using a code-first approach. Instead of writing GraphQL Schema Definition Langauge (SDL), Python code is written to describe the data provided by your server. Graphene helps you use GraphQL effortlessly in Python, but what is GraphQL? GraphQL is a data query language developed internally by Facebook as an alternative to REST and ad-hoc webservice architectures. With Graphene you have all the tools you need to implement a GraphQL API in Python, with multiple integrations with different frameworks including Django, SQLAlchemy and Google App Engine.
