🔥 tui-use | TypeScript
🎯 Primary Use Case:
Allowing AI agents to interact with and control terminal user interface (TUI) applications, REPLs, and debuggers that require human-like keyboard input and screen interpretation.
✨ Key Features:
• Full VT Rendering
• Smart Wait (debounce and text pattern matching)
• Snapshot Model for explicit interaction loop
• Highlights for identifying selected items in TUI apps
📖 Summary:
tui-use enables AI agents to interact with terminal-based programs like REPLs, debuggers, and TUI applications, which are typically inaccessible to automated scripts. It provides a way to send keystrokes and read the screen output as plain text, bridging the gap between human interaction and agent control.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Allowing AI agents to interact with and control terminal user interface (TUI) applications, REPLs, and debuggers that require human-like keyboard input and screen interpretation.
✨ Key Features:
• Full VT Rendering
• Smart Wait (debounce and text pattern matching)
• Snapshot Model for explicit interaction loop
• Highlights for identifying selected items in TUI apps
📖 Summary:
tui-use enables AI agents to interact with terminal-based programs like REPLs, debuggers, and TUI applications, which are typically inaccessible to automated scripts. It provides a way to send keystrokes and read the screen output as plain text, bridging the gap between human interaction and agent control.
🔗 Links:
• View Project
================
🔓 Open Source
✨ musicat | Svelte
🎯 Primary Use Case:
A desktop application for organizing, playing, and enriching local music libraries with advanced features and visualizations.
✨ Key Features:
• Supports MP3, FLAC, WAV, AAC, OGG
• Linked library using original files
• Gapless playback (same sample rate)
• Metadata tagger (ID3v2, Vorbis)
• Auto-watch and re-scan folders
📖 Summary:
Musicat is a sleek, cross-platform desktop music player and tagger designed for managing local music libraries. It offers features like gapless playback, smart playlists, metadata editing, album art fetching, and unique visualizations such as waveform and map views, all built with Svelte and Tauri.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
A desktop application for organizing, playing, and enriching local music libraries with advanced features and visualizations.
✨ Key Features:
• Supports MP3, FLAC, WAV, AAC, OGG
• Linked library using original files
• Gapless playback (same sample rate)
• Metadata tagger (ID3v2, Vorbis)
• Auto-watch and re-scan folders
📖 Summary:
Musicat is a sleek, cross-platform desktop music player and tagger designed for managing local music libraries. It offers features like gapless playback, smart playlists, metadata editing, album art fetching, and unique visualizations such as waveform and map views, all built with Svelte and Tauri.
🔗 Links:
• View Project
================
🔓 Open Source
🚀 try | Shell
🎯 Primary Use Case:
Organizing and quickly navigating through multiple small, experimental coding projects.
✨ Key Features:
• Fuzzy search for experiment directories
• Smart sorting prioritizing recently used projects
• Auto-dating for new experiment directories (e.g., YYYY-MM-DD-idea)
• Zero configuration, single Ruby file
• Shell integration for easy access
📖 Summary:
The 'try' repository provides a simple, zero-configuration Ruby script to manage and quickly navigate through numerous small experiment directories. It helps developers keep their exploratory code organized with features like fuzzy search, smart sorting, and auto-dating.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Organizing and quickly navigating through multiple small, experimental coding projects.
✨ Key Features:
• Fuzzy search for experiment directories
• Smart sorting prioritizing recently used projects
• Auto-dating for new experiment directories (e.g., YYYY-MM-DD-idea)
• Zero configuration, single Ruby file
• Shell integration for easy access
📖 Summary:
The 'try' repository provides a simple, zero-configuration Ruby script to manage and quickly navigate through numerous small experiment directories. It helps developers keep their exploratory code organized with features like fuzzy search, smart sorting, and auto-dating.
🔗 Links:
• View Project
================
🔓 Open Source
✨ Paper2Any | Python
🎯 Primary Use Case:
To automate the creation of visual assets (diagrams, plots, slides) from research papers and technical documents, making complex information more accessible and editable.
✨ Key Features:
• Universal File Support (PDFs, screenshots, text)
• AI-Powered Generation of diagrams, plots, and slides
• Customizable Styling
• Fast Generation Speed
📖 Summary:
Paper2Any is a Python-based tool designed to transform research papers, text, or topics into editable research figures, technical route diagrams, and presentation slides. It supports various input formats and leverages AI to automatically generate visual content, facilitating easier understanding and integration of complex information.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To automate the creation of visual assets (diagrams, plots, slides) from research papers and technical documents, making complex information more accessible and editable.
✨ Key Features:
• Universal File Support (PDFs, screenshots, text)
• AI-Powered Generation of diagrams, plots, and slides
• Customizable Styling
• Fast Generation Speed
📖 Summary:
Paper2Any is a Python-based tool designed to transform research papers, text, or topics into editable research figures, technical route diagrams, and presentation slides. It supports various input formats and leverages AI to automatically generate visual content, facilitating easier understanding and integration of complex information.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🔥 3dsvg | TypeScript
🎯 Primary Use Case:
Enabling developers to easily convert static SVG files into interactive 3D components within React applications, and providing a user-friendly visual editor for creating and exporting 3D assets.
✨ Key Features:
• Embeddable `` React component
• Visual editor for designing 3D objects from SVGs
• Multiple input methods (Text, Pixel Editor, SVG Code, File Upload)
• 10 material presets and procedural/custom textures
• 7 animation options
📖 Summary:
3dsvg is a monorepo providing a React component for creating interactive 3D visualizations from SVGs and a web-based visual editor to design and export these 3D objects. It simplifies the process of turning 2D vector graphics into dynamic 3D experiences.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Enabling developers to easily convert static SVG files into interactive 3D components within React applications, and providing a user-friendly visual editor for creating and exporting 3D assets.
✨ Key Features:
• Embeddable `` React component
• Visual editor for designing 3D objects from SVGs
• Multiple input methods (Text, Pixel Editor, SVG Code, File Upload)
• 10 material presets and procedural/custom textures
• 7 animation options
📖 Summary:
3dsvg is a monorepo providing a React component for creating interactive 3D visualizations from SVGs and a web-based visual editor to design and export these 3D objects. It simplifies the process of turning 2D vector graphics into dynamic 3D experiences.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
💡 donutbrowser | Rust
🎯 Primary Use Case:
Managing multiple, isolated browser environments for tasks requiring distinct digital footprints, such as web scraping, testing, or maintaining anonymity online.
✨ Key Features:
• Unlimited isolated browser profiles
• Chromium & Firefox engines with advanced fingerprint spoofing
• Proxy and VPN support per profile
• Local API & MCP for automation
📖 Summary:
Donut Browser is an open-source anti-detect browser built with Rust, offering robust privacy and profile management. It allows users to create and manage unlimited isolated browser profiles, each with its own unique fingerprint, cookies, and extensions, powered by Chromium and Firefox engines with advanced spoofing capabilities.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Managing multiple, isolated browser environments for tasks requiring distinct digital footprints, such as web scraping, testing, or maintaining anonymity online.
✨ Key Features:
• Unlimited isolated browser profiles
• Chromium & Firefox engines with advanced fingerprint spoofing
• Proxy and VPN support per profile
• Local API & MCP for automation
📖 Summary:
Donut Browser is an open-source anti-detect browser built with Rust, offering robust privacy and profile management. It allows users to create and manage unlimited isolated browser profiles, each with its own unique fingerprint, cookies, and extensions, powered by Chromium and Firefox engines with advanced spoofing capabilities.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🔥 KrillinAI | Go
🎯 Primary Use Case:
Automated video translation and dubbing for creating multilingual, cross-platform video content.
✨ Key Features:
• One-click deployment and operation
• Video acquisition via yt-dlp or local upload
• High-accuracy speech recognition (Whisper)
• LLM-powered subtitle segmentation and translation
• Professional vocabulary replacement
📖 Summary:
KrillinAI is a Go-based tool for video translation and dubbing, offering end-to-end localization for cross-platform content. It supports over 100 languages, integrates speech recognition and LLM-based translation, and features voice cloning for professional-sounding dubs.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Automated video translation and dubbing for creating multilingual, cross-platform video content.
✨ Key Features:
• One-click deployment and operation
• Video acquisition via yt-dlp or local upload
• High-accuracy speech recognition (Whisper)
• LLM-powered subtitle segmentation and translation
• Professional vocabulary replacement
📖 Summary:
KrillinAI is a Go-based tool for video translation and dubbing, offering end-to-end localization for cross-platform content. It supports over 100 languages, integrates speech recognition and LLM-based translation, and features voice cloning for professional-sounding dubs.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🚀 qxresearch-event-1 | Python
🎯 Primary Use Case:
To serve as a learning resource for Python developers, showcasing how to build various applications with minimal code, and to provide easily understandable examples for different programming concepts.
✨ Key Features:
• 50+ Python applications
• 10 lines of code per application
• Covers ML, DL, GUI, CV, API development
📖 Summary:
This repository offers a collection of over 50 practical Python applications, each written with a maximum of 10 lines of code. It covers diverse areas like Machine Learning, GUI, Computer Vision, and API development, aiming to provide simple, understandable, and easily modifiable code examples for learning and experimentation.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To serve as a learning resource for Python developers, showcasing how to build various applications with minimal code, and to provide easily understandable examples for different programming concepts.
✨ Key Features:
• 50+ Python applications
• 10 lines of code per application
• Covers ML, DL, GUI, CV, API development
📖 Summary:
This repository offers a collection of over 50 practical Python applications, each written with a maximum of 10 lines of code. It covers diverse areas like Machine Learning, GUI, Computer Vision, and API development, aiming to provide simple, understandable, and easily modifiable code examples for learning and experimentation.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
✨ glances | Python
🎯 Primary Use Case:
Real-time system performance monitoring and resource utilization analysis across multiple operating systems, accessible via terminal, web UI, or API.
✨ Key Features:
• Cross-platform system monitoring (Linux, BSD, macOS, Windows)
• Real-time monitoring of CPU, memory, disk, network, processes, etc.
• Container monitoring (Docker, LXC)
📖 Summary:
Glances is an open-source, cross-platform system monitoring tool written in Python. It provides real-time insights into CPU, memory, disk, network, processes, and container usage, with a user-friendly dashboard. It supports remote monitoring via a web interface, CLI, and RESTful API, and can export data to various formats or databases.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Real-time system performance monitoring and resource utilization analysis across multiple operating systems, accessible via terminal, web UI, or API.
✨ Key Features:
• Cross-platform system monitoring (Linux, BSD, macOS, Windows)
• Real-time monitoring of CPU, memory, disk, network, processes, etc.
• Container monitoring (Docker, LXC)
📖 Summary:
Glances is an open-source, cross-platform system monitoring tool written in Python. It provides real-time insights into CPU, memory, disk, network, processes, and container usage, with a user-friendly dashboard. It supports remote monitoring via a web interface, CLI, and RESTful API, and can export data to various formats or databases.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
✨ luna | Go
🎯 Primary Use Case:
To provide a unified, customizable, and self-hosted interface for aggregating and viewing multiple digital calendars.
✨ Key Features:
• Calendar aggregation from CalDav, iCal, Google Calendar
• Single web application frontend
• User management
• Infinitely customizable themes and fonts
• Built-in themes and easy installation of custom themes/fonts
📖 Summary:
Luna is a self-hosted calendar aggregator and frontend application that consolidates calendars from various protocols like CalDav, iCal, and Google Calendar into a single, customizable web interface. It offers extensive theming options and user management, aiming to provide a unified and personalized calendar experience.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
To provide a unified, customizable, and self-hosted interface for aggregating and viewing multiple digital calendars.
✨ Key Features:
• Calendar aggregation from CalDav, iCal, Google Calendar
• Single web application frontend
• User management
• Infinitely customizable themes and fonts
• Built-in themes and easy installation of custom themes/fonts
📖 Summary:
Luna is a self-hosted calendar aggregator and frontend application that consolidates calendars from various protocols like CalDav, iCal, and Google Calendar into a single, customizable web interface. It offers extensive theming options and user management, aiming to provide a unified and personalized calendar experience.
🔗 Links:
• View Project
================
🔓 Open Source
🌟 ai-file-sorter | C++
🎯 Primary Use Case:
Intelligent, AI-powered organization and renaming of digital files on a desktop.
✨ Key Features:
• Content-aware file organization and renaming
• Supports local and remote LLMs (e.g., Llama 3B, Mistral 7B)
• Preview-based workflows for user control
• Automatic folder creation and file sorting
• Privacy-first design with local processing options
📖 Summary:
AI File Sorter is a cross-platform desktop application that leverages AI to intelligently organize and rename files like images, documents, and media. It offers a privacy-first approach by supporting local LLMs and providing preview-based workflows for user-controlled file management.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Intelligent, AI-powered organization and renaming of digital files on a desktop.
✨ Key Features:
• Content-aware file organization and renaming
• Supports local and remote LLMs (e.g., Llama 3B, Mistral 7B)
• Preview-based workflows for user control
• Automatic folder creation and file sorting
• Privacy-first design with local processing options
📖 Summary:
AI File Sorter is a cross-platform desktop application that leverages AI to intelligently organize and rename files like images, documents, and media. It offers a privacy-first approach by supporting local LLMs and providing preview-based workflows for user-controlled file management.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🌟 phantom | TypeScript
🎯 Primary Use Case:
To provide a persistent, autonomous AI co-worker that can independently manage tasks, build tools, and evolve its capabilities within its own dedicated environment, freeing up user resources.
✨ Key Features:
• Persistent memory and self-evolution
• Dedicated computing environment (its own computer)
• Autonomous software installation and infrastructure building
📖 Summary:
Phantom is an AI co-worker designed to be persistent and self-evolving, acting as an independent agent with its own dedicated computing environment. It goes beyond typical chatbots by installing software, managing data, and building infrastructure autonomously, improving its capabilities over time.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To provide a persistent, autonomous AI co-worker that can independently manage tasks, build tools, and evolve its capabilities within its own dedicated environment, freeing up user resources.
✨ Key Features:
• Persistent memory and self-evolution
• Dedicated computing environment (its own computer)
• Autonomous software installation and infrastructure building
📖 Summary:
Phantom is an AI co-worker designed to be persistent and self-evolving, acting as an independent agent with its own dedicated computing environment. It goes beyond typical chatbots by installing software, managing data, and building infrastructure autonomously, improving its capabilities over time.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🔥 Snapframe | TypeScript
🎯 Primary Use Case:
Generating professional app store screenshots with customizable templates and device mockups.
✨ Key Features:
• Professional Templates
• Device Frames
• Per-Slide Theming
• Dynamic Text Blocks
• Real-time Preview
📖 Summary:
Snapframe is a web-based screenshot builder that allows app developers and designers to easily create professional, marketing-ready screenshots for app stores. It offers templates, device frames, dynamic text, and real-time previews, with a unique JSON editor for programmatic creation and AI-assisted workflows.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Generating professional app store screenshots with customizable templates and device mockups.
✨ Key Features:
• Professional Templates
• Device Frames
• Per-Slide Theming
• Dynamic Text Blocks
• Real-time Preview
📖 Summary:
Snapframe is a web-based screenshot builder that allows app developers and designers to easily create professional, marketing-ready screenshots for app stores. It offers templates, device frames, dynamic text, and real-time previews, with a unique JSON editor for programmatic creation and AI-assisted workflows.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
✨ Telegram-Drive | TypeScript
🎯 Primary Use Case:
To provide users with a free, unlimited, and secure cloud storage solution by leveraging their existing Telegram accounts.
✨ Key Features:
• Unlimited Cloud Storage
• High Performance Grid
• Auto-Updates
• Media Streaming
• PDF Viewer
📖 Summary:
Telegram Drive is an open-source desktop application that transforms your Telegram account into a secure, unlimited cloud storage solution. It provides a familiar file explorer interface for managing files directly on Telegram's servers using its API.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To provide users with a free, unlimited, and secure cloud storage solution by leveraging their existing Telegram accounts.
✨ Key Features:
• Unlimited Cloud Storage
• High Performance Grid
• Auto-Updates
• Media Streaming
• PDF Viewer
📖 Summary:
Telegram Drive is an open-source desktop application that transforms your Telegram account into a secure, unlimited cloud storage solution. It provides a familiar file explorer interface for managing files directly on Telegram's servers using its API.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
❤2
✨ hyperframes | TypeScript
🎯 Primary Use Case:
To enable AI agents and developers to easily create and render video content using HTML and CSS, streamlining the video production workflow.
✨ Key Features:
• HTML-based video rendering framework
• Integration with AI coding agents (Claude Code, Cursor, Gemini CLI, Codex)
• Support for GSAP animations
• AI agent skills for generating compositions and animations
• CLI commands for rendering
📖 Summary:
Hyperframes is an open-source video rendering framework that allows users to create video compositions using HTML and CSS. It integrates with AI agents to facilitate the creation process, enabling users to describe desired videos and have the AI generate the HTML/CSS code for rendering.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
To enable AI agents and developers to easily create and render video content using HTML and CSS, streamlining the video production workflow.
✨ Key Features:
• HTML-based video rendering framework
• Integration with AI coding agents (Claude Code, Cursor, Gemini CLI, Codex)
• Support for GSAP animations
• AI agent skills for generating compositions and animations
• CLI commands for rendering
📖 Summary:
Hyperframes is an open-source video rendering framework that allows users to create video compositions using HTML and CSS. It integrates with AI agents to facilitate the creation process, enabling users to describe desired videos and have the AI generate the HTML/CSS code for rendering.
🔗 Links:
• View Project
================
🔓 Open Source
🔥 everything-ai-ml | TypeScript
🎯 Primary Use Case:
To provide a structured and comprehensive collection of learning materials for individuals interested in mastering Generative AI and Machine Learning.
✨ Key Features:
• Curated collection of learning resources
• Covers Generative AI, Machine Learning, Agentic AI, LLMs, RAG, Fine-tuning, MLOps
📖 Summary:
This repository is a comprehensive, curated collection of learning resources for Generative AI, Machine Learning, and related advanced topics. It serves as a central hub for individuals looking to deepen their understanding and skills in these rapidly evolving fields, offering a structured path from foundational concepts to advanced applications.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To provide a structured and comprehensive collection of learning materials for individuals interested in mastering Generative AI and Machine Learning.
✨ Key Features:
• Curated collection of learning resources
• Covers Generative AI, Machine Learning, Agentic AI, LLMs, RAG, Fine-tuning, MLOps
📖 Summary:
This repository is a comprehensive, curated collection of learning resources for Generative AI, Machine Learning, and related advanced topics. It serves as a central hub for individuals looking to deepen their understanding and skills in these rapidly evolving fields, offering a structured path from foundational concepts to advanced applications.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
✨ omniget | Rust
🎯 Primary Use Case:
To provide a unified desktop environment for downloading and studying online courses and digital books, enhancing the learning experience with integrated study tools and content management.
✨ Key Features:
• Download and watch online courses (Hotmart, Udemy, Kiwify, etc.)
📖 Summary:
OmniGet is an open-source desktop application designed for efficient online learning and content consumption. It allows users to download courses from various platforms and read digital books (PDF, EPUB) within the app, offering features like timestamped notes, flashcards, and focus modes to enhance studying. Additionally, it supports downloading videos from social media and torrents.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To provide a unified desktop environment for downloading and studying online courses and digital books, enhancing the learning experience with integrated study tools and content management.
✨ Key Features:
• Download and watch online courses (Hotmart, Udemy, Kiwify, etc.)
📖 Summary:
OmniGet is an open-source desktop application designed for efficient online learning and content consumption. It allows users to download courses from various platforms and read digital books (PDF, EPUB) within the app, offering features like timestamped notes, flashcards, and focus modes to enhance studying. Additionally, it supports downloading videos from social media and torrents.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
❤1
🚀 token-dashboard | Python
🎯 Primary Use Case:
To provide users with local, detailed analytics and cost insights into their Claude Code AI interactions, enabling them to identify and optimize expensive prompts and wasteful usage patterns.
✨ Key Features:
• Local data processing: No data leaves the user's machine.
• Per-prompt cost analytics.
• Tool/file heatmaps.
• Subagent attribution.
• Cache analytics.
📖 Summary:
Token Dashboard is a local application that analyzes JSONL transcripts generated by Claude Code. It provides insights into token usage, costs, and patterns, helping users understand and optimize their AI interactions without sending any data off their machine.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
To provide users with local, detailed analytics and cost insights into their Claude Code AI interactions, enabling them to identify and optimize expensive prompts and wasteful usage patterns.
✨ Key Features:
• Local data processing: No data leaves the user's machine.
• Per-prompt cost analytics.
• Tool/file heatmaps.
• Subagent attribution.
• Cache analytics.
📖 Summary:
Token Dashboard is a local application that analyzes JSONL transcripts generated by Claude Code. It provides insights into token usage, costs, and patterns, helping users understand and optimize their AI interactions without sending any data off their machine.
🔗 Links:
• View Project
================
🔓 Open Source
🔥 npxskillui | TypeScript
🎯 Primary Use Case:
To reverse-engineer existing design systems from any source (web, local, repo) and make them readily usable by AI code generation tools like Claude for rapid UI development.
✨ Key Features:
• Extracts design systems (colors, typography, spacing, components, animations, screenshots) from URLs, local directories, or Git repositories.
📖 Summary:
SkillUI is a command-line interface tool that analyzes websites, local codebases, or Git repositories to extract their complete design systems. It packages this information into a format that AI models like Claude can directly use to generate UI code, enabling rapid UI development based on existing design languages.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To reverse-engineer existing design systems from any source (web, local, repo) and make them readily usable by AI code generation tools like Claude for rapid UI development.
✨ Key Features:
• Extracts design systems (colors, typography, spacing, components, animations, screenshots) from URLs, local directories, or Git repositories.
📖 Summary:
SkillUI is a command-line interface tool that analyzes websites, local codebases, or Git repositories to extract their complete design systems. It packages this information into a format that AI models like Claude can directly use to generate UI code, enabling rapid UI development based on existing design languages.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🚀 kittyfarm | Swift
🎯 Primary Use Case:
Running and managing multiple iOS Simulators and Android Emulators concurrently on a Mac for efficient mobile app testing and development.
✨ Key Features:
• Live display of iOS Simulators and Android Emulators in a single window
• Synchronized touch input across multiple devices
• Device bezels rendered from official assets
• Build & Play functionality for parallel deployment
• Drag-and-drop device reordering
📖 Summary:
KittyFarm is a macOS application designed to streamline mobile development workflows by allowing developers to run and control multiple iOS Simulators and Android Emulators simultaneously within a single window. It offers features like synchronized touch input, parallel deployment, and proportional device scaling.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Running and managing multiple iOS Simulators and Android Emulators concurrently on a Mac for efficient mobile app testing and development.
✨ Key Features:
• Live display of iOS Simulators and Android Emulators in a single window
• Synchronized touch input across multiple devices
• Device bezels rendered from official assets
• Build & Play functionality for parallel deployment
• Drag-and-drop device reordering
📖 Summary:
KittyFarm is a macOS application designed to streamline mobile development workflows by allowing developers to run and control multiple iOS Simulators and Android Emulators simultaneously within a single window. It offers features like synchronized touch input, parallel deployment, and proportional device scaling.
🔗 Links:
• View Project
================
🔓 Open Source
❤1