Open Source ChromeOS Software - Page 36
Sort By:
Software for ChromeOS
-
Forever Free Full-Stack Observability | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
1
3DCellForge
AI-powered interactive 3D cell generation and exploration studio
3DCellForge is an AI-powered 3D cell generation and exploration studio built as a polished browser prototype. It uses React, Vite, Three.js, React Three Fiber, Drei, and Framer Motion to create an interactive WebGL environment for exploring biological cell models. Users can rotate, zoom, inspect organelles, compare views, take notes, capture screenshots, and export or import GLB models. The project also supports optional image-to-3D generation through cloud providers and local backends, while keeping API keys on the server side instead of exposing them in the frontend bundle. It includes cached demo models so the experience can work without generating a new model every time. Overall, it is a creative research and education tool for visualizing cell structures in a more interactive way than static diagrams. -
2
AIGC-Interview-Book
AIGC algorithm engineer interview secrets
AIGC-Interview-Book is a large educational repository designed to help engineers prepare for technical interviews related to artificial intelligence and generative AI roles. The project compiles knowledge from industry practitioners and researchers into a structured reference covering the AI ecosystem. Topics included in the repository span large language models, generative AI systems, traditional deep learning methods, reinforcement learning, computer vision, natural language processing, and machine learning theory. In addition to technical concepts, the repository also contains interview preparation materials such as practice questions, hiring insights, and career advice for AI engineers. The materials are organized so readers can study fundamental topics as well as advanced research areas that frequently appear in technical interviews. -
3
Agenda
Lightweight job scheduling for Node.js
A light-weight job scheduling library for Node.js. -
4
AndroidLibXrayLite
Lightweight Android library that bundles the Xray networking core
AndroidLibXrayLite is a lightweight Android library that bundles the Xray networking core as an embeddable component for apps. Its purpose is to provide a minimal, size-optimized build of the native core with a clear Java/Kotlin interface to start, stop, and configure network tunnels. By exposing the core as an AAR with per-ABI artifacts, it keeps application footprints small while supporting common CPU architectures. The library abstracts process management and log streaming so host apps can control lifecycles and capture diagnostics. It’s particularly useful for developers who want to integrate secure, rule-based proxying into their own Android apps without re-implementing the native glue. With a focus on stability and easy updates, it shortens the path from concept to a working in-app networking stack. -
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.
-
5
Apache log4net
Apache Log4net is a versatile, feature-rich, efficient logging API
The Apache log4net library is a tool to help the programmer output log statements to a variety of output targets. log4net is a port of the excellent Apache log4j™ framework to the Microsoft® .NET runtime. We have kept the framework similar in spirit to the original log4j while taking advantage of new features in the .NET runtime. The log4net framework is based on Apache log4j™, The log4net framework, source code, binaries, documentation, examples and related materials are published under the terms of the Apache License. This document is an introduction to the log4net API, its unique features and design rationale. Log4net is an open source project based on the work of many authors. It allows the developer to control which log statements are output with arbitrary granularity. It is fully configurable at runtime using external configuration files. -
6
Apple Music-like Lyrics
A lyric player component library aims to look similar to iPad
Apple Music-like Lyrics is a frontend-oriented project that recreates the dynamic, synchronized lyrics display experience found in Apple Music, focusing on smooth animations, real-time highlighting, and visually engaging typography. It is designed to render time-synced lyrics in a way that emphasizes readability and immersion, often using techniques such as progressive highlighting, scrolling alignment, and transitions that follow the rhythm of the music. The project demonstrates how modern web technologies can be used to replicate complex media UI patterns that were traditionally limited to native applications. It supports parsing lyric formats with timestamp metadata and synchronizing them with playback, enabling accurate alignment between audio and text. The implementation is highly customizable, allowing developers to adapt the visual style, animation timing, and layout to fit different applications. -
7
Basic Computer Games
An updated version of the classic "Basic Computer Games" book
Basic Computer Games is a modern revitalization of the classic “Basic Computer Games” book’s collection of games, ported and expanded into various modern, memory-safe and scripting languages. It includes illustrative code examples of many classic games (e.g. Blackjack, Bowling) in multiple languages, with the goal of making the historical games accessible and educational in safe modern environments. Definitely use the most recent versions and features of the target language, but also try to keep the code samples simple and explainable – the goal is to teach programming in the target language, not necessarily demonstrate the cleverest one-line tricks, or big system "enterprise" coding techniques designed for thousands of lines of code. -
8
Bilibili Evolved
Powerful Bilibili Enhanced Script
Bilibili Evolved is a browser extension designed to enhance the user experience on the Bilibili video platform by adding customization and usability improvements. It provides a wide range of features that modify the interface, improve playback controls, and add additional functionality not available in the original platform. The extension is highly customizable, allowing users to enable or disable features based on their preferences. It also includes performance optimizations and visual enhancements that improve the overall viewing experience. The project is actively maintained and updated to adapt to changes in the platform. It is particularly popular among users who want a more personalized and efficient browsing experience. Overall, Bilibili-Evolved transforms the standard Bilibili interface into a more powerful and user-friendly environment. -
9
CSAPP-Labs
Solutions and Notes for Labs of Computer Systems
CSAPP-Labs is a repository that organizes and provides practical lab exercises corresponding to the famous textbook Computer Systems: A Programmer’s Perspective (CS:APP), helping students deepen their understanding of how computer systems work at the machine level. The exercises cover core topics such as data representation, assembly language, processor architecture, cache behavior, memory hierarchy, linking, and concurrency, contextualizing abstract concepts from the book in real code and experiments. Each lab is structured to include test programs, Makefiles, harnesses, and step-by-step instructions that guide students through hands-on interaction with low-level programming and system behavior. By actually building and debugging code that runs close to hardware, learners acquire intuition about performance trade-offs, bit-level manipulation, stack frame layout, and how compilers and OS features influence execution. -
$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.
-
10
Clawbolt
The AI Assistant that actually does things for the trades
Clawbolt is an open-source messaging-first AI assistant built specifically for contractors, tradespeople, and service businesses that prefer managing work through chat instead of traditional dashboards. The platform allows users to interact with an AI assistant through iMessage, SMS, RCS, Telegram, and related messaging channels to handle tasks such as estimates, invoices, scheduling, reminders, and client communication. Clawbolt combines large language model orchestration with memory systems, file storage integrations, and tool-calling workflows to create an assistant capable of managing real operational tasks instead of only answering prompts. The project supports integrations with QuickBooks Online, Google Calendar, Dropbox, and Google Drive, enabling automated business workflows tied directly to conversations. Its architecture is built with FastAPI, PostgreSQL, Docker, and modular LLM provider support, allowing both cloud and self-hosted deployments. -
11
Cloud CLI
Use Claude Code, Cursor CLI or Codex on mobile and web with CloudCLI
ClaudeCodeUI, also known as CloudCLI, is an open-source web and mobile interface that enables developers to control Claude Code and similar AI coding tools through a graphical environment. The project provides a browser-based dashboard that allows users to manage coding sessions, projects, and prompts remotely from virtually any device. It is designed to bridge the gap between terminal-first AI coding workflows and more accessible visual interfaces, improving usability without sacrificing power. The interface supports integration with tools such as Cursor CLI and Codex, enabling flexible multi-model workflows. Built with a mobile-friendly design, it allows developers to monitor and interact with AI coding agents on the go. Overall, ClaudeCodeUI focuses on productivity, remote control, and improved developer ergonomics for AI-assisted programming. -
12
DBOS Transact TS
Lightweight Durable TypeScript Workflows
dbos-transact-ts is a TypeScript framework that enables transactional workflows backed by PostgreSQL, combining application logic with durable execution. It provides an easy way to write fault-tolerant functions that survive failures, retry automatically, and persist their execution state. Built for modern serverless and distributed environments, it's ideal for consistency-critical operations. -
13
DeepSeek-V3.2-Exp
An experimental version of DeepSeek model
DeepSeek-V3.2-Exp is an experimental release of the DeepSeek model family, intended as a stepping stone toward the next generation architecture. The key innovation in this version is DeepSeek Sparse Attention (DSA), a sparse attention mechanism that aims to optimize training and inference efficiency in long-context settings without degrading output quality. According to the authors, they aligned the training setup of V3.2-Exp with V3.1-Terminus so that benchmark results remain largely comparable, even though the internal attention mechanism changes. In public evaluations across a variety of reasoning, code, and question-answering benchmarks (e.g. MMLU, LiveCodeBench, AIME, Codeforces, etc.), V3.2-Exp shows performance very close to or in some cases matching that of V3.1-Terminus. The repository includes tools and kernels to support the new sparse architecture—for instance, CUDA kernels, logit indexers, and open-source modules like FlashMLA and DeepGEMM are invoked for performance. -
14
DensePose
A real-time approach for mapping all human pixels of 2D RGB images
DensePose is a computer vision system that maps all human pixels in an RGB image to the 3D surface of a human body model. It extends human pose estimation from predicting joint keypoints to providing dense correspondences between 2D images and a canonical 3D mesh (such as the SMPL model). This enables detailed understanding of human shape, motion, and surface appearance directly from images or videos. The repository includes the DensePose network architecture, training code, pretrained models, and dataset tools for annotation and visualization. DensePose is widely used in augmented reality, motion capture, virtual try-on, and visual effects applications because it enables real-time 3D human mapping from 2D inputs. The model architecture builds on Mask R-CNN, using additional regression heads to predict UV coordinates that map image pixels to 3D surfaces. -
15
EverMemOS
Long-term memory OS for AI with structured recall and context awarenes
EverMemOS is an open-source memory operating system built to give AI agents long-term, structured memory. It captures conversations, transforms them into organized memory units, and enables agents to recall past interactions with context and meaning. Instead of treating each prompt independently, it builds evolving user profiles, tracks preferences, and connects related events into coherent narratives. Its architecture combines memory storage, indexing, and retrieval with agent-level reasoning, allowing AI systems to make informed decisions based on prior interactions. EverMemOS goes beyond simple retrieval by actively applying stored knowledge to current tasks, improving personalization and consistency. EverMemOS uses a multi-stage memory lifecycle to convert raw dialogue into structured semantic data, supporting long-horizon reasoning and adaptive behavior across sessions. -
16
Free LLM API resources
A list of free LLM inference resources accessible via API
Free LLM API resources repository curated by cheahjs is a community-driven index of free and open API endpoints, tools, datasets, runtimes, and utilities for working with large language models (LLMs) without cost-barriers. It collects a wide range of resources including hosted free-tier LLM APIs, documentation links, public model endpoints, open datasets useful for training or evaluation, tooling integrations, and examples showing how to interact with these services in real applications. This list helps developers, hobbyists, and researchers quickly find models they can use for prototyping, experimentation, or production proofs-of-concept without needing paid subscriptions, reducing friction for innovation. The repository typically categorizes offerings by provider, type of service (text, embeddings, vision), availability conditions (open without key, free tier with key), and usage examples to make discovery and adoption easier. -
17
GLM-OCR
Accurate × Fast × Comprehensive
GLM-OCR is an open-source multimodal optical character recognition (OCR) model built on a GLM-V encoder–decoder foundation that brings robust, accurate document understanding to complex real-world layouts and modalities. Designed to handle text recognition, table parsing, formula extraction, and general information retrieval from documents containing mixed content, GLM-OCR excels across major benchmarks while remaining highly efficient with a relatively compact parameter size (~0.9B), enabling deployment in high-concurrency services and edge environments. The model’s multimodal capabilities allow it to reason across image and text content holistically, capturing structured and unstructured information from pages that include dense tables, seals, code snippets, and varied document graphics. GLM-OCR integrates a comprehensive SDK and inference toolchain that makes it easy for developers to install, invoke, and embed into production pipelines with simple commands or APIs. -
18
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. -
19
Global Threat & Event Intelligence Map
Interactive map for exploring global conflicts & geopolitical threats
GlobalThreatMap is an open source web application designed to visualize geopolitical events, conflicts, and military activity around the world on an interactive map. It helps users explore ongoing wars, international tensions, military base locations, and historical conflict data across different countries. It aggregates and processes global event information and presents it geographically so users can quickly understand where significant geopolitical developments are occurring. GlobalThreatMap is built to assist researchers, analysts, and curious users who want a clearer view of global security dynamics. Users can browse event feeds, investigate country-level conflicts, and explore geopolitical entities directly from the interface. It also supports both self-hosted deployments and an authenticated mode using the Valyu platform for accessing additional data features. -
20
HY-World 1.5
A Systematic Framework for Interactive World Modeling
HY-WorldPlay is a Hunyuan AI project focusing on immersive multimodal content generation and interaction within virtual worlds or simulated environments. It aims to empower AI agents with the capability to both understand and generate multimedia content — including text, audio, image, and potentially 3D or game-world elements — enabling lifelike dialogue, environmental interpretations, and responsive world behavior. The platform targets use cases in digital entertainment, game worlds, training simulators, and interactive storytelling, where AI agents need to adapt to real-time user inputs and changes in environment state. It blends advanced reasoning with multimodal synthesis, enabling agents to describe scenes, generate context-appropriate responses, and contribute to narrative or gameplay flows. The underlying framework typically supports large-context state tracking across extended interactions, blending temporal and spatial multimodal signals. -
21
HomeKit Accessory Development Kit (ADK)
HomeKit Accessory Development Kit (ADK)
HomeKitADK is Apple’s Accessory Development Kit for building HomeKit-compatible accessories in C, from tiny embedded devices to full POSIX systems. It implements the HomeKit Accessory Protocol (HAP) end-to-end, including pairing, authentication, encryption, and accessory/characteristic modeling so you can expose services like lights, locks, sensors, outlets, and bridges. The SDK factors the stack into clear layers—core protocol, transport, and platform shims—so vendors can port it to their MCU/RTOS or Linux/macOS targets with minimal changes. It provides example accessories and test harnesses that demonstrate pairing flows, event notifications, and state persistence. Discovery and session management integrate with the standard Home ecosystem, enabling accessories to be found, paired, and controlled by Apple devices with proper permissions. The ADK emphasizes reliability and certification readiness, helping manufacturers converge on behavior that passes conformance tests. -
22
Homebox
Inventory and organization system built for the Home User
Homebox is an open-source inventory and organization system for home users designed to catalog and manage household items with simplicity and speed. Written in Go with a web-based UI, Homebox emphasizes low resource usage and portable deployment, making it ideal for self-hosting with a single Docker container or a compiled binary. Users can organize inventory into categories, locations, and tags, attach images and documents, and track purchase dates, prices, warranties, and maintenance schedules to keep all home information in one place. The embedded web UI is responsive across devices from desktops to smartphones, providing powerful search and filters that let users find items quickly. Homebox supports custom fields for extended metadata and uses SQLite for easy setup and backups, facilitating straightforward deployment without complex infrastructure. -
23
Infinity For Reddit
A Reddit client for Android
A Reddit client on Android written in Java. It does not have any ads and it features a clean UI and smooth browsing experience. Infinity is a beautiful, feature-rich app that offers a smooth Reddit browsing experience. It is completely free and ad-less; you can browse Reddit without interruptions or distractions. Built by a passionate university student, Infinity is open source. -
24
InkOS
Autonomous novel writing CLI AI Agent
InkOS is a multi-agent creative writing system designed to automate the production of long-form narrative content such as novels through coordinated AI workflows. The system organizes multiple specialized agents that collaborate in stages, including drafting, reviewing, editing, and refining text, with optional human checkpoints to ensure quality and coherence. Its architecture reflects a pipeline approach where each agent contributes a specific function, allowing iterative improvement rather than single-pass generation. This design makes it particularly suited for complex storytelling tasks that require consistency, tone management, and structural planning across long outputs. The platform likely incorporates feedback loops where agents critique and revise each other’s work, simulating editorial processes found in traditional publishing. It emphasizes scalability, enabling users to generate large volumes of narrative content with minimal manual intervention. -
25
JavaScript Algo and Data Structures
Algorithms and data structures implemented in JavaScript
javascript-algorithms is an open source repository by Oleksii Trekhleb that provides implementations of algorithms and data structures in JavaScript. Each algorithm includes explanations, complexity analysis, and references for further reading, making it both a coding resource and a study guide. The repository covers topics such as sorting, searching, graph algorithms, cryptography, and data structures like linked lists, stacks, and queues. It is designed to help developers understand algorithm fundamentals and practice problem-solving with JavaScript. Multilingual README files make the resource accessible to a global audience. With strong community engagement, it is one of the most popular algorithm repositories on GitHub.
