Open Source ChromeOS Software - Page 73
Sort By:
Software for ChromeOS
-
$300 in Free Credit Towards Top Cloud ServicesStart your project in minutes. After credits run out, 20+ products include free monthly usage. Only pay when you're ready to scale.
-
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
1
React Native Camera Kit
A high performance, easy to use, rock solid camera library
A high-performance, easy-to-use, rock-solid, camera library for React Native apps. A temporary file is created. You must move this file to a permanent location (e.g. the app's 'Documents' folder) if you need it beyond the current session of the app as it may be deleted when the user leaves the app. You can move files by using a file systems library such as react-native-fs or expo-filesystem. (On Android we currently have an unsupported output path prop but it's subject to change at any time). -
2
Reader 3
Quick illustration of how one can easily read books together with LLMs
This project is a minimalist, self-hosted EPUB reader designed to help users browse and read EPUB books one chapter at a time through a lightweight local server, making it especially easy to extract or work with chapters in external tools like large language models. It was created primarily as a simple demonstration of how to combine local book reading with LLM workflows without heavy dependencies or complicated setup, and it runs with just a small Python script and a basic HTTP server. The interface focuses on clarity and ease of use, offering straightforward navigation of book chapters rather than full-featured e-reading capabilities. While it lacks advanced features like built-in annotations or rich media support, its simplicity is intentional, enabling users to quickly load EPUBs, view them in a browser, and even repurpose text for downstream tasks. -
3
Reader LLM
Convert any URL to an LLM-friendly input with a simple prefix
Reader LLM is an open-source tool designed to convert web content into formats that are easier for large language models to process. The system works by transforming a webpage into a clean text or Markdown representation that removes unnecessary formatting and highlights the core information within the page. Developers can use a simple URL prefix to retrieve a version of a webpage that has been optimized for machine consumption, making it suitable for use in AI agents or retrieval-augmented generation pipelines. In addition to converting individual pages, the service can perform web searches and return relevant content that can be ingested directly by AI systems. The tool relies on specialized models and parsing techniques to handle complex HTML structures and extract meaningful content while preserving important context. -
4
Refined
Refinement types for Scala
Refined is a Scala library that enhances types with compile-time constraints using predicate-style refinement types. It allows embedding validation logic into types like Refined[Int, Positive], ensuring invalid values are rejected at compile or runtime, thereby increasing safety and reducing boilerplate in domain modeling. -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
-
5
RenJS
RenJS Typescript Version
RenJS V2 is a TypeScript-based visual novel engine built on Phaser, designed to help creators develop interactive storytelling experiences. It offers a script-like syntax for defining scenes, dialogues, and character interactions. -
6
Rig
Rust framework for building modular and scalable LLM-powered apps
Rig is an open source Rust framework designed to help developers build modular and scalable applications powered by large language models. It provides a unified set of abstractions that allow applications to interact with many AI model providers and vector databases through a single interface. Its architecture emphasizes modularity, enabling developers to integrate only the components and integrations they need for a specific application. Rig includes built-in support for agent workflows, allowing systems to perform multi-turn reasoning, tool calling, and retrieval-based tasks within structured pipelines. It also supports capabilities such as text generation, embeddings, transcription, image generation, and audio generation depending on the provider used. Developers can integrate language models into their software with minimal boilerplate while maintaining flexibility for complex AI workflows. -
7
Riley's Graphics library FrameWork
A cross platform lightweight single-header simple-to-use library
RGFW (Really Good Framework) is a lightweight, C-based windowing and input library designed to be a minimal alternative to frameworks like GLFW or SDL. It supports OpenGL context creation, input handling, and simple file dialogs while staying highly portable and dependency-free. RGFW is ideal for developers who want tight control over their environment or want to build cross-platform applications with a tiny footprint. It’s particularly suited to educational, experimental, or embedded graphics projects. -
8
Rivet
Visual AI IDE for building agents with prompt chains and graphs
Rivet is an open source visual AI programming environment designed to help developers build complex AI agents using a node-based interface and prompt chaining workflows. It provides a desktop application that allows users to visually construct and debug AI logic as interconnected graphs, making it easier to manage sophisticated interactions between language models and external tools. Rivet also includes a TypeScript library that enables these visual graphs to be executed and integrated directly into applications, bridging the gap between prototyping and production use. Rivet supports multiple large language model providers and integrates with services such as embeddings and transcription systems, allowing developers to create richer AI-powered features. Its architecture emphasizes composability, where different components like prompts, APIs, and data processing steps can be combined into reusable pipelines. -
9
Robust Tube MPC
Example implementation for robust model predictive control using tube
robust-tube-mpc is a MATLAB implementation of robust tube-based Model Predictive Control (MPC). The framework provides tools to design and simulate controllers that maintain stability and constraint satisfaction in the presence of bounded disturbances. Tube-based MPC achieves robustness by combining a nominal trajectory planner with an error feedback controller that keeps the actual system state within a "tube" around the nominal trajectory. This repository includes example scripts and implementations demonstrating how to apply the method to control problems. It is particularly useful for researchers, students, and engineers exploring robust control strategies in uncertain environments. By offering a structured implementation, robust-tube-mpc makes it easier to study and extend advanced MPC techniques for real-world applications. -
Compliant and Reliable File Transfers Backed by Top Security CertificationsStop relying on non-certified, legacy file transfer tools that creak under the weight of modern security demands. Get full audit trails, advanced access controls and more supported by an award-winning team of experts. Start your free 25-day trial today.
-
10
SMAC
SMAC: The StarCraft Multi-Agent Challenge
SMAC (StarCraft II Multi-Agent Challenge) is a benchmark environment for cooperative multi-agent reinforcement learning (MARL), based on real-time strategy (RTS) game scenarios in StarCraft II. It allows researchers to test algorithms where multiple units (agents) must collaborate to win battles against built-in game AI opponents. SMAC provides a controlled testbed for studying decentralized execution and centralized training paradigms in MARL. -
11
SPI FLASH Library for STM32
W25qxx, N25Qxx and other SPI FLASH driver for stm32 HAL
W25qxx, N25Qxx, and other SPI FLASH drivers for stm32 HAL. -
12
Self-learning-Computer-Science
Resources to learn computer science in your spare time
Self-learning Computer Science is a curated, open-source guide repository designed to help learners independently study computer science topics using high-quality university-level resources. The author (an undergraduate CS student) assembled links to courses from institutions like MIT, UC Berkeley, Stanford, etc., covering mathematics, programming, data structures/algorithms, computer architecture, machine learning, software engineering and more. It’s aimed at learners who find traditional course structures restrictive and want a flexible, self-paced path through CS, with a focus on building depth and breadth rather than shortcut exam skills. The repository provides a roadmap, references, teaching materials, and sometimes the author’s own project examples, offering both guidance and community support. Because the CS field is broad, the structure helps learners allocate study time, avoid duplication, and benefit from “best in class” resources instead of randomly browsing. -
13
Shiny
Build interactive web apps directly from R with Shiny framework
Shiny is an R package from RStudio that enables users to build interactive web applications using R without requiring knowledge of JavaScript, HTML, or CSS. It allows statisticians and data scientists to turn their analyses into fully functional web dashboards with reactive elements, data inputs, visualizations, and controls, making data communication more effective and dynamic. -
14
Simplex Noise.js
A fast simplex noise implementation in Javascript / Typescript
A JavaScript library for generating Simplex noise, a smoother alternative to Perlin noise for procedural content. -
15
Smart Excalidraw
A smart, powerful, and beautiful excalidraw drawing tool
Smart Excalidraw Next is an AI-powered diagramming tool that allows users to generate professional-quality visual diagrams directly from natural language descriptions, combining generative AI with the flexibility of the Excalidraw canvas. It leverages large language models to interpret user input and automatically produce structured diagrams such as flowcharts, architecture diagrams, ER diagrams, and mind maps with logical layouts and clean visual organization. One of its key innovations is a smart connection algorithm that optimizes how elements are linked, reducing visual clutter and ensuring clarity in complex diagrams. The tool integrates seamlessly with the Excalidraw format, allowing users to refine, edit, and customize AI-generated diagrams manually on an interactive canvas. It supports more than twenty diagram types and can automatically select the most appropriate format based on the user’s description, making it highly adaptable across technical and creative use cases. -
16
Smart Money Concepts
Discover our Python package designed for algorithmic trading
Smart Money Concepts is a Python library that implements advanced trading indicators based on the “Smart Money Concepts” methodology, which focuses on institutional market behavior and price action analysis. It is designed for algorithmic traders and quantitative analysts who want to incorporate professional trading strategies into automated systems. The library processes structured OHLC or OHLCV market data and computes indicators such as fair value gaps, order blocks, liquidity zones, and market structure changes. These indicators are inspired by ICT trading principles and are used to identify trends, reversals, and potential entry or exit points in financial markets. The system is modular, allowing users to combine different indicators and integrate them into backtesting frameworks or live trading bots. It is particularly useful for traders working in forex, crypto, or equities who rely on price action rather than traditional indicators. -
17
SmartYouTubeTV
Watch YouTube videos on your TV and set-top-box with comfort
SmartTubeLegacy is an alternative YouTube client designed for Android TV devices, focusing on providing a cleaner and more customizable viewing experience. It removes ads and unnecessary distractions, allowing users to focus on content without interruptions. The application includes advanced playback features such as background play, customizable controls, and improved navigation. It is optimized for TV interfaces, ensuring smooth performance and usability with remote controls. The project also supports user preferences, enabling customization of the interface and playback behavior. It is particularly popular among users who want a more streamlined and user-controlled YouTube experience. Overall, SmartTubeLegacy enhances the default YouTube experience by prioritizing usability, customization, and performance. -
18
SoftVC VITS Singing Voice Conversion
SoftVC VITS Singing Voice Conversion
SoftVC VITS Singing Voice Conversion is a deep learning project focused on singing voice conversion, allowing users to transform one voice into another while preserving melody and timing. Unlike traditional text-to-speech systems, it specializes specifically in singing scenarios and does not provide general TTS functionality. The project leverages neural network architectures derived from VITS and SoftVC research to achieve high-quality voice transformation. It is commonly used in creative audio workflows, especially in communities experimenting with synthetic singing and character voices. The repository includes training and inference pipelines that enable users to build and apply custom voice models. Overall, so-vits-svc serves as a specialized toolkit for neural singing voice conversion and audio synthesis research. -
19
Sogo
SOGo is a very fast and scalable modern collaboration suite
SOGo is an open-source groupware server that provides email, calendar, and contacts management with full web and mobile compatibility. It integrates with various email clients and supports enterprise collaboration. -
20
SpongeForge
A Forge mod that implements SpongeAPI
A Forge implementation of the Sponge API. SpongeForge uses Gradle as its build system. The repo includes the Gradle wrapper that will automatically download the correct Gradle version. Local installations of Gradle may work but are untested. To execute the Gradle wrapper, run the ./gradlew script on Unix systems or only gradlew on Windows systems. In order to build SpongeForge you simply need to run the gradlew command. On Windows systems you should run gradlew instead of ./gradlew to invoke the Gradle wrapper. SpongeForge is the implementation of the Sponge API on the Minecraft Forge platform. Recommended for running plugins together with Forge mods. The purpose of the Sponge project is to create a plugin development framework for Minecraft: Java Edition. Sponge is being created by a global community, and its open-source nature means anyone can participate. -
21
Squel
SQL query string builder for Javascript
Squel is a JavaScript library for fluent and safe SQL query string building, usable both in Node.js environments and in the browser. Works in Node.js and in the browser. Supports the standard SQL queries: SELECT, UPDATE, INSERT, and DELETE. Supports non-standard commands for popular DB engines such as MySQL. Supports parameterized queries for safe value escaping. It can be customized to build any query or command of your choosing. Uses method chaining for ease of use. -
22
Stable Diffusion WebUI Docker
Easy Docker setup for Stable Diffusion with user-friendly UI
Stable Diffusion WebUI Docker is a Docker-based repository that simplifies running Stable Diffusion with rich user interfaces by packaging multiple popular web UIs into an easy-to-deploy containerized solution. It integrates leading community UIs like AUTOMATIC1111 and ComfyUI into a Docker Compose setup that can be started with a single command, abstracting away dependency installation and environment configuration. Users can choose which UI profile they want to run — for example, full feature AUTOMATIC1111, CPU-only automatic builds, or ComfyUI workflows — and launch them in a consistent, isolated container environment with automatic model and data caching. The project supports mounting data and output directories so generated images and configurations persist outside the container, and it lets developers customize UI behavior through Docker Compose override files. -
23
Stable Diffusion WebUI Forge
Stable Diffusion WebUI Forge is a platform on top of Stable Diffusion
Stable Diffusion WebUI Forge is a performance- and feature-oriented fork of the popular AUTOMATIC1111 interface that experiments with new backends, memory optimizations, and UX improvements. It targets heavy users and researchers who push large models, control nets, and high-resolution pipelines where default settings can become bottlenecks. The fork typically introduces toggles for scheduler behavior, attention implementations, caching, and precision modes to reach better speed or quality on given hardware. It also focuses on stability during long sessions, aiming to reduce out-of-memory failures and provide clearer diagnostics when they occur. The UI surfaces advanced options in a way that remains recognizable to WebUI users, so migration costs are low while gaining experimental features. In practice, Forge serves as a proving ground for ideas that may later influence upstream tools, giving power users early access to cutting-edge techniques. -
24
StarVector
StarVector is a foundation model for SVG generation
StarVector is a multimodal foundation model designed for generating Scalable Vector Graphics (SVG) from images or textual descriptions. The system treats vector graphics creation as a code generation problem, producing SVG code that can render detailed vector images. Its architecture combines computer vision techniques with language modeling capabilities so it can understand visual inputs and textual prompts simultaneously. The model converts raster images or text instructions into structured vector representations, enabling high-quality vectorization and design generation. This approach allows StarVector to create scalable graphics that maintain visual quality regardless of resolution, which is especially useful for design tools and illustration workflows. Because the model produces SVG code rather than pixel images, the output can be edited programmatically or integrated directly into web and design environments. -
25
Starlark in Go
Starlark in Go: the Starlark configuration language, implemented in Go
starlark-go is the official Go implementation of the Starlark programming language, a Python-like, dynamically typed configuration and scripting language originally developed for the Bazel build system. Starlark combines Python’s expressiveness and readability with deterministic execution, making it ideal for defining build configurations, scripting automation, and embedding domain-specific logic in applications. The Go-based interpreter allows developers to run or embed Starlark programs directly within Go applications, extending them with user-defined scripts and configurable logic. Unlike Python, Starlark supports parallel execution across multiple threads and maintains deterministic behavior, making it suitable for scalable and reproducible workloads. It offers familiar syntax features such as dictionaries, lists, and first-class functions with lexical scoping.
