💡 plain-app | Kotlin
🎯 Primary Use Case:
Securely managing and accessing an Android phone's data and features from a web browser on the same local network, without relying on cloud services.
✨ Key Features:
• Web-based phone management (no desktop app needed)
• 100% local and end-to-end encrypted communication
• File browsing, upload, download, rename, delete
• Media viewing, streaming, and management
📖 Summary:
PlainApp is an open-source Android application that provides a secure, self-hosted web interface for managing your phone from any device on the same network. It offers a comprehensive suite of tools for file management, media browsing, communication, and even screen mirroring, all without relying on cloud services.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Securely managing and accessing an Android phone's data and features from a web browser on the same local network, without relying on cloud services.
✨ Key Features:
• Web-based phone management (no desktop app needed)
• 100% local and end-to-end encrypted communication
• File browsing, upload, download, rename, delete
• Media viewing, streaming, and management
📖 Summary:
PlainApp is an open-source Android application that provides a secure, self-hosted web interface for managing your phone from any device on the same network. It offers a comprehensive suite of tools for file management, media browsing, communication, and even screen mirroring, all without relying on cloud services.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🔥 unifi-docker | Shell
🎯 Primary Use Case:
To provide an easy-to-deploy and manage Unifi Network Controller instance using Docker, abstracting away underlying system dependencies and complexities.
✨ Key Features:
• Dockerized Unifi Controller
• Simplified installation and upgrades
• Version and dependency management
• Cross-platform compatibility (Ubuntu, Debian, macOS, Windows, Raspberry Pi)
• Persistent data storage outside the container
📖 Summary:
This repository provides a Dockerized version of Ubiquiti's Unifi Controller, simplifying installation, management, and upgrades. It bundles the controller, Java, and OS dependencies into a single container, ensuring a consistent environment across various operating systems and hardware.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
To provide an easy-to-deploy and manage Unifi Network Controller instance using Docker, abstracting away underlying system dependencies and complexities.
✨ Key Features:
• Dockerized Unifi Controller
• Simplified installation and upgrades
• Version and dependency management
• Cross-platform compatibility (Ubuntu, Debian, macOS, Windows, Raspberry Pi)
• Persistent data storage outside the container
📖 Summary:
This repository provides a Dockerized version of Ubiquiti's Unifi Controller, simplifying installation, management, and upgrades. It bundles the controller, Java, and OS dependencies into a single container, ensuring a consistent environment across various operating systems and hardware.
🔗 Links:
• View Project
================
🔓 Open Source
🔥 TaxHacker | TypeScript
🎯 Primary Use Case:
Automating the extraction and organization of financial data from receipts and invoices using AI for accounting and tax purposes, with a focus on self-hosting and data privacy.
✨ Key Features:
• AI-powered data extraction from receipts and invoices (OCR)
• Automatic categorization of transactions
📖 Summary:
TaxHacker is a self-hosted AI-powered accounting application designed to automate expense and income tracking for freelancers and small businesses. It leverages Large Language Models (LLMs) to extract data from receipts and invoices, supports multi-currency conversions, and allows for custom data extraction through user-defined prompts.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Automating the extraction and organization of financial data from receipts and invoices using AI for accounting and tax purposes, with a focus on self-hosting and data privacy.
✨ Key Features:
• AI-powered data extraction from receipts and invoices (OCR)
• Automatic categorization of transactions
📖 Summary:
TaxHacker is a self-hosted AI-powered accounting application designed to automate expense and income tracking for freelancers and small businesses. It leverages Large Language Models (LLMs) to extract data from receipts and invoices, supports multi-currency conversions, and allows for custom data extraction through user-defined prompts.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🌟 claude-code-hooks | HTML
🎯 Primary Use Case:
To provide developers with an enhanced, more intuitive, and interactive coding experience with Claude Code by adding audible feedback for key events.
✨ Key Features:
• Adds auditory feedback to Claude Code sessions.
• Supports 27 different hook events.
• Provides sound cues for session start, tool use, agent response, and more.
📖 Summary:
This repository enhances the Claude Code AI by adding auditory feedback for various events within the coding workflow. It integrates "hooks" that trigger sounds, providing real-time vocal cues for actions like session start, tool usage, agent responses, and task completion.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To provide developers with an enhanced, more intuitive, and interactive coding experience with Claude Code by adding audible feedback for key events.
✨ Key Features:
• Adds auditory feedback to Claude Code sessions.
• Supports 27 different hook events.
• Provides sound cues for session start, tool use, agent response, and more.
📖 Summary:
This repository enhances the Claude Code AI by adding auditory feedback for various events within the coding workflow. It integrates "hooks" that trigger sounds, providing real-time vocal cues for actions like session start, tool usage, agent responses, and task completion.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
💡 SysMocap | JavaScript
🎯 Primary Use Case:
Real-time motion capture and animation for 3D virtual characters, particularly for VTubers and live streaming.
✨ Key Features:
• Real-time video-driven motion capture
• 3D virtual character rendering
• Cross-platform support (Windows, macOS, Linux)
• GUI with Material Design 3 and Dark Mode
• WebXR API support for Mocap Forwarding
📖 Summary:
SysMocap is a cross-platform real-time motion capture system designed for animating 3D virtual characters. It supports various input formats and offers features like full-body tracking, facial expression capture, and integration with live-streaming software.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Real-time motion capture and animation for 3D virtual characters, particularly for VTubers and live streaming.
✨ Key Features:
• Real-time video-driven motion capture
• 3D virtual character rendering
• Cross-platform support (Windows, macOS, Linux)
• GUI with Material Design 3 and Dark Mode
• WebXR API support for Mocap Forwarding
📖 Summary:
SysMocap is a cross-platform real-time motion capture system designed for animating 3D virtual characters. It supports various input formats and offers features like full-body tracking, facial expression capture, and integration with live-streaming software.
🔗 Links:
• View Project
================
🔓 Open Source
✨ SadTalker | Python
🎯 Primary Use Case:
Generating realistic talking head videos from a single portrait image and an audio file.
✨ Key Features:
• Audio-driven talking face generation
• Single image to talking head animation
• Learning realistic 3D motion coefficients
• Stylized animation
• CVPR 2023 paper
📖 Summary:
SadTalker is a Python-based project that animates a single portrait image to create a talking head video, driven by an audio input. It learns realistic 3D motion coefficients for stylized, audio-driven facial animation, enabling users to generate talking head videos from static images and speech.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Generating realistic talking head videos from a single portrait image and an audio file.
✨ Key Features:
• Audio-driven talking face generation
• Single image to talking head animation
• Learning realistic 3D motion coefficients
• Stylized animation
• CVPR 2023 paper
📖 Summary:
SadTalker is a Python-based project that animates a single portrait image to create a talking head video, driven by an audio input. It learns realistic 3D motion coefficients for stylized, audio-driven facial animation, enabling users to generate talking head videos from static images and speech.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
❤1
🌟 AI-Scientist-v2 | Python
🎯 Primary Use Case:
Automated scientific discovery and research paper generation
✨ Key Features:
• Autonomous hypothesis generation
• Automated experiment execution
• Data analysis capabilities
• Scientific manuscript writing
• Generalization across ML domains
📖 Summary:
The AI Scientist-v2 is an advanced agentic system designed for fully autonomous scientific discovery. It can independently generate hypotheses, conduct experiments, analyze data, and author scientific manuscripts, generalizing across ML domains without human-authored templates. This version utilizes a progressive agentic tree search managed by an experiment manager agent.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Automated scientific discovery and research paper generation
✨ Key Features:
• Autonomous hypothesis generation
• Automated experiment execution
• Data analysis capabilities
• Scientific manuscript writing
• Generalization across ML domains
📖 Summary:
The AI Scientist-v2 is an advanced agentic system designed for fully autonomous scientific discovery. It can independently generate hypotheses, conduct experiments, analyze data, and author scientific manuscripts, generalizing across ML domains without human-authored templates. This version utilizes a progressive agentic tree search managed by an experiment manager agent.
🔗 Links:
• View Project
================
🔓 Open Source
🚀 claude-blog | Python
🎯 Primary Use Case:
To automate and enhance the production of high-quality, SEO-optimized blog content using AI, ensuring it meets stringent quality and platform-specific requirements.
✨ Key Features:
• AI-powered blog content creation, optimization, and auditing
• Dual optimization for Google rankings (E-E-A-T) and AI citations
📖 Summary:
The claude-blog repository provides a comprehensive suite of AI-powered tools for writing, optimizing, and auditing blog content. It aims to produce high-quality articles that are dual-optimized for search engine rankings and AI citation platforms, ensuring content meets specific quality standards through a multi-stage delivery contract.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To automate and enhance the production of high-quality, SEO-optimized blog content using AI, ensuring it meets stringent quality and platform-specific requirements.
✨ Key Features:
• AI-powered blog content creation, optimization, and auditing
• Dual optimization for Google rankings (E-E-A-T) and AI citations
📖 Summary:
The claude-blog repository provides a comprehensive suite of AI-powered tools for writing, optimizing, and auditing blog content. It aims to produce high-quality articles that are dual-optimized for search engine rankings and AI citation platforms, ensuring content meets specific quality standards through a multi-stage delivery contract.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🌟 storyboarder | JavaScript
🎯 Primary Use Case:
Rapid visualization and iteration of story ideas through digital storyboarding.
✨ Key Features:
• Simple, Smooth Drawing
• Super Simple Interface
• Printed Worksheets
• Works with Wacom
• Easy Organization
📖 Summary:
Storyboarder is a JavaScript application designed to help creators visualize stories quickly through simple drawing tools. It allows users to create storyboards from scratch or by importing Fountain screenplays, facilitating rapid iteration and sharing of visual ideas without the complexity of professional animation software.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Rapid visualization and iteration of story ideas through digital storyboarding.
✨ Key Features:
• Simple, Smooth Drawing
• Super Simple Interface
• Printed Worksheets
• Works with Wacom
• Easy Organization
📖 Summary:
Storyboarder is a JavaScript application designed to help creators visualize stories quickly through simple drawing tools. It allows users to create storyboards from scratch or by importing Fountain screenplays, facilitating rapid iteration and sharing of visual ideas without the complexity of professional animation software.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🔥 PhantomBot | JavaScript
🎯 Primary Use Case:
To provide streamers with an interactive and customizable Twitch chat bot for channel moderation, viewer engagement, and entertainment.
✨ Key Features:
• Built-in webpanel
• Enhanced moderation
• Games
• Point system
• Raffles
📖 Summary:
PhantomBot is an open-source, Java-powered Twitch bot designed to enhance live streams with interactive features and robust moderation. It offers a built-in web panel for easy management, a customizable point system, games, raffles, and integration with popular streaming services.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To provide streamers with an interactive and customizable Twitch chat bot for channel moderation, viewer engagement, and entertainment.
✨ Key Features:
• Built-in webpanel
• Enhanced moderation
• Games
• Point system
• Raffles
📖 Summary:
PhantomBot is an open-source, Java-powered Twitch bot designed to enhance live streams with interactive features and robust moderation. It offers a built-in web panel for easy management, a customizable point system, games, raffles, and integration with popular streaming services.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🔥 GLM-OCR | Python
🎯 Primary Use Case:
Accurate and fast optical character recognition (OCR) for complex documents, including tables, formulas, and information extraction.
✨ Key Features:
• State-of-the-Art Performance on document understanding benchmarks
• Optimized for Real-World Scenarios (complex tables, code-heavy documents, seals)
• Efficient Inference with 0.9B parameters, supporting vLLM, SGLang, and Ollama
📖 Summary:
GLM-OCR is a powerful multimodal OCR model designed for complex document understanding. It leverages a GLM-V architecture with advanced training techniques like Multi-Token Prediction and reinforcement learning to achieve state-of-the-art accuracy and efficiency. The model is optimized for real-world scenarios and offers easy integration through an open-source SDK.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Accurate and fast optical character recognition (OCR) for complex documents, including tables, formulas, and information extraction.
✨ Key Features:
• State-of-the-Art Performance on document understanding benchmarks
• Optimized for Real-World Scenarios (complex tables, code-heavy documents, seals)
• Efficient Inference with 0.9B parameters, supporting vLLM, SGLang, and Ollama
📖 Summary:
GLM-OCR is a powerful multimodal OCR model designed for complex document understanding. It leverages a GLM-V architecture with advanced training techniques like Multi-Token Prediction and reinforcement learning to achieve state-of-the-art accuracy and efficiency. The model is optimized for real-world scenarios and offers easy integration through an open-source SDK.
🔗 Links:
• View Project
================
🔓 Open Source
🚀 spritefusion-pixel-snapper | Rust
🎯 Primary Use Case:
Cleaning and standardizing AI-generated or procedurally created pixel art to fit a strict grid and color palette, making it suitable for game development and scalable assets.
✨ Key Features:
• Snaps pixels to a perfect grid
• Ensures consistent grid resolution
• Quantizes colors to a strict palette
• Preserves details like dithering
📖 Summary:
Sprite Fusion Pixel Snapper is a Rust-based tool designed to clean up messy pixel art, particularly that generated by AI, by snapping pixels to a perfect grid and quantizing colors. It ensures consistency in pixel size and position, making art suitable for game development and scalable textures.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Cleaning and standardizing AI-generated or procedurally created pixel art to fit a strict grid and color palette, making it suitable for game development and scalable assets.
✨ Key Features:
• Snaps pixels to a perfect grid
• Ensures consistent grid resolution
• Quantizes colors to a strict palette
• Preserves details like dithering
📖 Summary:
Sprite Fusion Pixel Snapper is a Rust-based tool designed to clean up messy pixel art, particularly that generated by AI, by snapping pixels to a perfect grid and quantizing colors. It ensures consistency in pixel size and position, making art suitable for game development and scalable textures.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🍌1
💡 DnsServer | C#
🎯 Primary Use Case:
Self-hosting a private and secure DNS server to block ads, malware, and gain network insights.
✨ Key Features:
• Self-hostable DNS server for privacy and security
• Blocks ads and malware at DNS level
• Supports DNS-over-TLS, DNS-over-HTTPS, and DNS-over-QUIC
• User-friendly web console
• Works out-of-the-box with minimal configuration
📖 Summary:
Technitium DNS Server is an open-source, self-hostable DNS server that enhances privacy and security by blocking ads and malware at the DNS level. It offers advanced features like DNS-over-TLS, DNS-over-HTTPS, and DNS-over-QUIC, and provides network insights through logs and statistics.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Self-hosting a private and secure DNS server to block ads, malware, and gain network insights.
✨ Key Features:
• Self-hostable DNS server for privacy and security
• Blocks ads and malware at DNS level
• Supports DNS-over-TLS, DNS-over-HTTPS, and DNS-over-QUIC
• User-friendly web console
• Works out-of-the-box with minimal configuration
📖 Summary:
Technitium DNS Server is an open-source, self-hostable DNS server that enhances privacy and security by blocking ads and malware at the DNS level. It offers advanced features like DNS-over-TLS, DNS-over-HTTPS, and DNS-over-QUIC, and provides network insights through logs and statistics.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
💡 facex | C
🎯 Primary Use Case:
Enabling real-time, on-device face analysis and recognition directly in web applications without server infrastructure.
✨ Key Features:
• Runs entirely in the browser via WebAssembly
• Includes face detection, 576-point 3D mesh, recognition, and anti-spoofing
• Zero server-side dependencies
• Trained from scratch with custom models
• Encrypted weights (AES-256-GCM) for browser security
📖 Summary:
FaceX is a comprehensive face processing pipeline that runs entirely within the browser using WebAssembly. It offers face detection, 576-point 3D mesh generation, recognition, and anti-spoofing capabilities without requiring any server-side processing or dependencies.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Enabling real-time, on-device face analysis and recognition directly in web applications without server infrastructure.
✨ Key Features:
• Runs entirely in the browser via WebAssembly
• Includes face detection, 576-point 3D mesh, recognition, and anti-spoofing
• Zero server-side dependencies
• Trained from scratch with custom models
• Encrypted weights (AES-256-GCM) for browser security
📖 Summary:
FaceX is a comprehensive face processing pipeline that runs entirely within the browser using WebAssembly. It offers face detection, 576-point 3D mesh generation, recognition, and anti-spoofing capabilities without requiring any server-side processing or dependencies.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
❤1
✨ Continuum | Rust
🎯 Primary Use Case:
To enable persistent, collaborative AI coding agent workflows by providing a shared, live codebase context and inter-agent memory.
✨ Key Features:
• Live code graph with tree-sitter parsing for multiple languages
• Hybrid code search combining lexical (BM25) and semantic (model2vec) search
• Code navigation features (definitions, callers, dependency graphs)
📖 Summary:
Continuum is a persistent, multi-agent Model Context Protocol (MCP) server designed to provide AI coding agents with a shared, live view of a codebase and a long-term memory. It allows multiple agents to collaborate on a project, maintaining context and state across sessions and agents.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To enable persistent, collaborative AI coding agent workflows by providing a shared, live codebase context and inter-agent memory.
✨ Key Features:
• Live code graph with tree-sitter parsing for multiple languages
• Hybrid code search combining lexical (BM25) and semantic (model2vec) search
• Code navigation features (definitions, callers, dependency graphs)
📖 Summary:
Continuum is a persistent, multi-agent Model Context Protocol (MCP) server designed to provide AI coding agents with a shared, live view of a codebase and a long-term memory. It allows multiple agents to collaborate on a project, maintaining context and state across sessions and agents.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
❤1
✨ terminal | TypeScript
🎯 Primary Use Case:
To provide an advanced, self-hosted trading interface for Polymarket, enabling active traders to monitor markets, analyze trader performance, and execute trades with enhanced efficiency and control.
✨ Key Features:
• Self-hosted Polymarket trading terminal
📖 Summary:
This repository provides an open-source, self-hosted trading terminal for Polymarket, offering a Bloomberg-style dark UI with real-time order book data via SSE and self-custodial trading execution. It aims to enhance the user experience for active traders by providing advanced features like detailed trader leaderboards and keyboard navigation, all without third-party relayer fees or backend secrets.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To provide an advanced, self-hosted trading interface for Polymarket, enabling active traders to monitor markets, analyze trader performance, and execute trades with enhanced efficiency and control.
✨ Key Features:
• Self-hosted Polymarket trading terminal
📖 Summary:
This repository provides an open-source, self-hosted trading terminal for Polymarket, offering a Bloomberg-style dark UI with real-time order book data via SSE and self-custodial trading execution. It aims to enhance the user experience for active traders by providing advanced features like detailed trader leaderboards and keyboard navigation, all without third-party relayer fees or backend secrets.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🌟 blackcandy | Ruby
🎯 Primary Use Case:
To provide users with a personal, self-hosted music streaming service, offering control over their music library and playback experience.
✨ Key Features:
• Self-hosted music streaming server
• Web interface for music playback and management
• Docker installation for ease of use
• Support for PostgreSQL database
• Mobile applications available for iOS and Android
📖 Summary:
Black Candy is a self-hosted music streaming server that allows users to manage and stream their personal music library. It provides a web interface for playback and management, with optional mobile applications for access on the go.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
To provide users with a personal, self-hosted music streaming service, offering control over their music library and playback experience.
✨ Key Features:
• Self-hosted music streaming server
• Web interface for music playback and management
• Docker installation for ease of use
• Support for PostgreSQL database
• Mobile applications available for iOS and Android
📖 Summary:
Black Candy is a self-hosted music streaming server that allows users to manage and stream their personal music library. It provides a web interface for playback and management, with optional mobile applications for access on the go.
🔗 Links:
• View Project
================
🔓 Open Source
🌟 Falcon-Perception | Python
🎯 Primary Use Case:
Performing object detection, instance segmentation, and OCR on images using natural language queries through an efficient inference engine.
✨ Key Features:
• Natively multimodal Transformer model
• Object detection, instance segmentation, and OCR capabilities
• Inference engines for PyTorch (CUDA) and MLX (Apple Silicon)
• Paged and batch inference options
📖 Summary:
Falcon Perception is a PyTorch inference engine for a natively multimodal, autoregressive Transformer model capable of performing object detection, instance segmentation, and OCR from natural language queries. It offers various inference engines, including paged and batch processing for PyTorch and MLX (Apple Silicon), and supports deployment via an inference server.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Performing object detection, instance segmentation, and OCR on images using natural language queries through an efficient inference engine.
✨ Key Features:
• Natively multimodal Transformer model
• Object detection, instance segmentation, and OCR capabilities
• Inference engines for PyTorch (CUDA) and MLX (Apple Silicon)
• Paged and batch inference options
📖 Summary:
Falcon Perception is a PyTorch inference engine for a natively multimodal, autoregressive Transformer model capable of performing object detection, instance segmentation, and OCR from natural language queries. It offers various inference engines, including paged and batch processing for PyTorch and MLX (Apple Silicon), and supports deployment via an inference server.
🔗 Links:
• View Project
================
🔓 Open Source
❤1
💡 cybermon | Svelte
🎯 Primary Use Case:
To provide users with a sleek, mobile-first dashboard for real-time monitoring of their computer's hardware performance, leveraging data from LibreHardwareMonitor.
✨ Key Features:
• Futuristic mobile hardware monitoring dashboard
• Integrates with LibreHardwareMonitor
• Visualizes system statistics (CPU, GPU, RAM, etc.)
• Remote web server for data fetching
• Configurable device management
📖 Summary:
CyberMon is a futuristic mobile hardware monitoring dashboard built with Svelte. It visualizes system statistics fetched from LibreHardwareMonitor, providing users with a clear overview of their device's performance on a mobile interface.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To provide users with a sleek, mobile-first dashboard for real-time monitoring of their computer's hardware performance, leveraging data from LibreHardwareMonitor.
✨ Key Features:
• Futuristic mobile hardware monitoring dashboard
• Integrates with LibreHardwareMonitor
• Visualizes system statistics (CPU, GPU, RAM, etc.)
• Remote web server for data fetching
• Configurable device management
📖 Summary:
CyberMon is a futuristic mobile hardware monitoring dashboard built with Svelte. It visualizes system statistics fetched from LibreHardwareMonitor, providing users with a clear overview of their device's performance on a mobile interface.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
💡 etchdroid | Kotlin
🎯 Primary Use Case:
Creating bootable operating system USB drives from an Android device.
✨ Key Features:
• Write OS images to USB drives on Android
• No root access required
• Supports modern GNU/Linux OS images
• Supports Raspberry Pi SD card images (unzipped)
• Telemetry collection for issue diagnosis (optional, F-Droid build available without telemetry)
📖 Summary:
EtchDroid is an open-source Android application designed to write OS images directly to USB drives. It allows users to create bootable operating system USBs from their mobile device without requiring root access, supporting a wide range of modern Linux distributions and Raspberry Pi images.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Creating bootable operating system USB drives from an Android device.
✨ Key Features:
• Write OS images to USB drives on Android
• No root access required
• Supports modern GNU/Linux OS images
• Supports Raspberry Pi SD card images (unzipped)
• Telemetry collection for issue diagnosis (optional, F-Droid build available without telemetry)
📖 Summary:
EtchDroid is an open-source Android application designed to write OS images directly to USB drives. It allows users to create bootable operating system USBs from their mobile device without requiring root access, supporting a wide range of modern Linux distributions and Raspberry Pi images.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source