💡 arcade_ai | Dart
🎯 Primary Use Case:
To provide a unified and user-friendly mobile interface for interacting with a wide range of Large Language Models from different providers on Android devices.
✨ Key Features:
• 12 built-in providers + custom endpoint support
• Streaming responses
• Reasoning view for complex models
• Vision capabilities (image input)
• Model comparison feature
📖 Summary:
Arcade AI is a universal Android chat client that connects to multiple Large Language Models (LLMs) from various providers. It offers a fluid, secure, and customizable interface for interacting with different AI models, including global, regional, and local options.
🔗 Links:
• View Project
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🔓 Open Source
🎯 Primary Use Case:
To provide a unified and user-friendly mobile interface for interacting with a wide range of Large Language Models from different providers on Android devices.
✨ Key Features:
• 12 built-in providers + custom endpoint support
• Streaming responses
• Reasoning view for complex models
• Vision capabilities (image input)
• Model comparison feature
📖 Summary:
Arcade AI is a universal Android chat client that connects to multiple Large Language Models (LLMs) from various providers. It offers a fluid, secure, and customizable interface for interacting with different AI models, including global, regional, and local options.
🔗 Links:
• View Project
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🔓 Open Source
🌟 cap4d | Python
🎯 Primary Use Case:
Generating animatable 4D portrait avatars from input images.
✨ Key Features:
• Creation of animatable 4D portrait avatars
• Utilizes morphable multi-view diffusion models
• Supports generation from a few reference images
• Includes a real-time viewer for exported animations
• Provides scripts for quick start, inference, and custom inference
📖 Summary:
CAP4D is an official repository for creating animatable 4D portrait avatars from a few reference images using morphable multi-view diffusion models. It enables the generation of dynamic 3D avatars that can be animated and viewed in real-time.
🔗 Links:
• View Project
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🔓 Open Source
🎯 Primary Use Case:
Generating animatable 4D portrait avatars from input images.
✨ Key Features:
• Creation of animatable 4D portrait avatars
• Utilizes morphable multi-view diffusion models
• Supports generation from a few reference images
• Includes a real-time viewer for exported animations
• Provides scripts for quick start, inference, and custom inference
📖 Summary:
CAP4D is an official repository for creating animatable 4D portrait avatars from a few reference images using morphable multi-view diffusion models. It enables the generation of dynamic 3D avatars that can be animated and viewed in real-time.
🔗 Links:
• View Project
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🔓 Open Source
✨ AI-Asistent-Telegram | Python
🎯 Primary Use Case:
To automate and enhance communication for Telegram Business accounts by providing an AI assistant that can handle customer interactions, manage groups, and perform various utility tasks.
✨ Key Features:
• AI-powered responses (GPT-4.1-mini or fallback API)
• Token auto-rotation for GitHub API limits
• Aggressive and caring response modes
• Group administration commands (kick, ban, mute, spam protection)
📖 Summary:
This Python repository provides a Telegram bot designed for Telegram Business accounts, acting as a personal AI assistant. It offers AI-powered responses, customizable interaction modes (business, aggressive, caring), and administrative tools for group management, alongside utility functions.
🔗 Links:
• View Project
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🔓 Open Source
🎯 Primary Use Case:
To automate and enhance communication for Telegram Business accounts by providing an AI assistant that can handle customer interactions, manage groups, and perform various utility tasks.
✨ Key Features:
• AI-powered responses (GPT-4.1-mini or fallback API)
• Token auto-rotation for GitHub API limits
• Aggressive and caring response modes
• Group administration commands (kick, ban, mute, spam protection)
📖 Summary:
This Python repository provides a Telegram bot designed for Telegram Business accounts, acting as a personal AI assistant. It offers AI-powered responses, customizable interaction modes (business, aggressive, caring), and administrative tools for group management, alongside utility functions.
🔗 Links:
• View Project
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🔓 Open Source
💡 ONIX-AternosBot | JavaScript
🎯 Primary Use Case:
Keeping Minecraft servers, particularly those hosted on platforms like Aternos, online and active 24/7 by simulating an active player, controlled conveniently via Telegram.
✨ Key Features:
• Telegram-based menu for bot control (start, stop, logs, settings)
• Live configuration changes (address, port, version, nickname, password) without restart
• Automatic reconnection with configurable phases
📖 Summary:
ONIX-AternosBot is a JavaScript-based Telegram bot designed to keep Minecraft servers running 24/7. It automates the process of maintaining an active player presence on Aternos servers, allowing users to control and manage the bot directly through a Telegram interface without needing direct server access or command-line interaction.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Keeping Minecraft servers, particularly those hosted on platforms like Aternos, online and active 24/7 by simulating an active player, controlled conveniently via Telegram.
✨ Key Features:
• Telegram-based menu for bot control (start, stop, logs, settings)
• Live configuration changes (address, port, version, nickname, password) without restart
• Automatic reconnection with configurable phases
📖 Summary:
ONIX-AternosBot is a JavaScript-based Telegram bot designed to keep Minecraft servers running 24/7. It automates the process of maintaining an active player presence on Aternos servers, allowing users to control and manage the bot directly through a Telegram interface without needing direct server access or command-line interaction.
🔗 Links:
• View Project
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🔓 Open Source
❤1
🔥 RedDownloader | Python
🎯 Primary Use Case:
Downloading media content from Reddit posts without the need for complex API setup or authentication.
✨ Key Features:
• Download media (images, videos, galleries) from Reddit posts
• No Reddit API authentication (praw bot) required
• Single-line download function
• Customizable output filename and destination path
📖 Summary:
RedDownloader is a Python library designed to simplify the process of downloading various media types, including images, galleries, and videos, directly from Reddit posts. It offers an easy-to-use interface that does not require Reddit API authentication, allowing users to download content with a single line of code and customize output options like filename, destination, and video quality.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Downloading media content from Reddit posts without the need for complex API setup or authentication.
✨ Key Features:
• Download media (images, videos, galleries) from Reddit posts
• No Reddit API authentication (praw bot) required
• Single-line download function
• Customizable output filename and destination path
📖 Summary:
RedDownloader is a Python library designed to simplify the process of downloading various media types, including images, galleries, and videos, directly from Reddit posts. It offers an easy-to-use interface that does not require Reddit API authentication, allowing users to download content with a single line of code and customize output options like filename, destination, and video quality.
🔗 Links:
• View Project
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🔓 Open Source
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💡 Telegram-Media-Downloader | JavaScript
🎯 Primary Use Case:
To allow users to download media content from Telegram web that is otherwise restricted or unavailable for download.
✨ Key Features:
• Enables downloading of images, GIFs, audio, and videos from Telegram web.
• Bypasses download restrictions in chats and stories.
📖 Summary:
This JavaScript user script enhances the Telegram web experience by enabling the download of media (images, GIFs, audio, videos) from chats and stories, even when downloads are restricted. It requires a user script manager browser extension for installation and use.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To allow users to download media content from Telegram web that is otherwise restricted or unavailable for download.
✨ Key Features:
• Enables downloading of images, GIFs, audio, and videos from Telegram web.
• Bypasses download restrictions in chats and stories.
📖 Summary:
This JavaScript user script enhances the Telegram web experience by enabling the download of media (images, GIFs, audio, videos) from chats and stories, even when downloads are restricted. It requires a user script manager browser extension for installation and use.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🔥 grist-core | TypeScript
🎯 Primary Use Case:
Running a powerful server for hosting and managing relational spreadsheets.
✨ Key Features:
• Relational spreadsheet model
• Database-like columns (named, single data type)
• Formula filling with automatic updates
• Python formula support
• AI Formula Assistant
📖 Summary:
Grist is a modern relational spreadsheet application that combines the flexibility of a spreadsheet with the robustness of a database. The grist-core repository provides the server-side functionality for hosting and managing these advanced spreadsheets.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Running a powerful server for hosting and managing relational spreadsheets.
✨ Key Features:
• Relational spreadsheet model
• Database-like columns (named, single data type)
• Formula filling with automatic updates
• Python formula support
• AI Formula Assistant
📖 Summary:
Grist is a modern relational spreadsheet application that combines the flexibility of a spreadsheet with the robustness of a database. The grist-core repository provides the server-side functionality for hosting and managing these advanced spreadsheets.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
💡 numpyai | Python
🎯 Primary Use Case:
To enable users to perform complex data analysis tasks using natural language queries, making NumPy more accessible and intuitive, especially for those less familiar with its specific syntax.
✨ Key Features:
• Writes NumPy code from natural language queries
• Diagnoses data analysis steps
• Supports multi-array sessions
📖 Summary:
NumpyAI provides a natural language interface for NumPy, allowing users to interact with and analyze numerical data using conversational queries. It leverages Large Language Models (LLMs) to translate natural language into executable NumPy code, offering features like code generation, data diagnosis, and multi-array session management.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To enable users to perform complex data analysis tasks using natural language queries, making NumPy more accessible and intuitive, especially for those less familiar with its specific syntax.
✨ Key Features:
• Writes NumPy code from natural language queries
• Diagnoses data analysis steps
• Supports multi-array sessions
📖 Summary:
NumpyAI provides a natural language interface for NumPy, allowing users to interact with and analyze numerical data using conversational queries. It leverages Large Language Models (LLMs) to translate natural language into executable NumPy code, offering features like code generation, data diagnosis, and multi-array session management.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
✨ polaris | Rust
🎯 Primary Use Case:
To provide a self-hosted, personal music streaming service accessible from any device.
✨ Key Features:
• Self-hosted music streaming server
• Support for large music collections (100,000+ songs)
• Beautiful and customizable user interface with dark mode
• Cross-platform compatibility (Windows, Linux, BSD, Docker)
• Support for various audio file formats (flac, mp3, ogg, opus, etc.)
📖 Summary:
Polaris is a self-hosted, open-source music streaming server designed for exceptional performance and ease of use. It allows users to access their entire music collection from any device, supporting large libraries and offering a beautiful, customizable user interface.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
To provide a self-hosted, personal music streaming service accessible from any device.
✨ Key Features:
• Self-hosted music streaming server
• Support for large music collections (100,000+ songs)
• Beautiful and customizable user interface with dark mode
• Cross-platform compatibility (Windows, Linux, BSD, Docker)
• Support for various audio file formats (flac, mp3, ogg, opus, etc.)
📖 Summary:
Polaris is a self-hosted, open-source music streaming server designed for exceptional performance and ease of use. It allows users to access their entire music collection from any device, supporting large libraries and offering a beautiful, customizable user interface.
🔗 Links:
• View Project
================
🔓 Open Source
🔥 dlman | TypeScript
🎯 Primary Use Case:
Accelerating and managing file downloads across multiple platforms with enhanced reliability and control.
✨ Key Features:
• Multi-segment parallel downloads (1–32 segments per file)
• Crash-safe persistence with SQLite
• Pause and resume anytime
• Auto-resume after crashes or restarts
• Scheduling & Automation (start/stop times, post-download actions)
📖 Summary:
DLMan is a free, open-source download manager for Windows, macOS, and Linux, built with Rust and Tauri for speed and reliability. It offers advanced features like multi-segment downloads, crash-safe persistence with SQLite, scheduling, and organization tools.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Accelerating and managing file downloads across multiple platforms with enhanced reliability and control.
✨ Key Features:
• Multi-segment parallel downloads (1–32 segments per file)
• Crash-safe persistence with SQLite
• Pause and resume anytime
• Auto-resume after crashes or restarts
• Scheduling & Automation (start/stop times, post-download actions)
📖 Summary:
DLMan is a free, open-source download manager for Windows, macOS, and Linux, built with Rust and Tauri for speed and reliability. It offers advanced features like multi-segment downloads, crash-safe persistence with SQLite, scheduling, and organization tools.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🌟 PDF_Shield | Tcl
🎯 Primary Use Case:
Detecting and preventing DoS and embedded JavaScript attacks within PDF files.
✨ Key Features:
• Automated PDF Monitoring
• Drag & Drop scanning
• Customizable Alerts (JS, infinite loops, zip bombs)
• Extensible plugin architecture
• User-Friendly Interface (CLI & GUI)
📖 Summary:
PDF_Shield is a Python-based security tool designed to detect and prevent Denial of Service (DoS) attacks and embedded JavaScript threats within PDF files. It offers automated monitoring, customizable alerts, and a user-friendly interface to safeguard against malicious PDF content, particularly targeting PDF engines in browsers.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Detecting and preventing DoS and embedded JavaScript attacks within PDF files.
✨ Key Features:
• Automated PDF Monitoring
• Drag & Drop scanning
• Customizable Alerts (JS, infinite loops, zip bombs)
• Extensible plugin architecture
• User-Friendly Interface (CLI & GUI)
📖 Summary:
PDF_Shield is a Python-based security tool designed to detect and prevent Denial of Service (DoS) attacks and embedded JavaScript threats within PDF files. It offers automated monitoring, customizable alerts, and a user-friendly interface to safeguard against malicious PDF content, particularly targeting PDF engines in browsers.
🔗 Links:
• View Project
================
🔓 Open Source
✨ GenRecon | Python
🎯 Primary Use Case:
To reconstruct detailed and editable 3D meshes of indoor scenes from multiple 2D images by combining generative modeling with scene decomposition.
✨ Key Features:
• High-fidelity 3D scene reconstruction from multi-view images
• Integration of strong generative 3D priors (e.g., Trellis.2)
• Scene reconstruction via spatially-localized, overlapping chunks
📖 Summary:
GenRecon is a Python-based framework for high-fidelity 3D scene reconstruction from multi-view RGB images. It leverages strong generative 3D priors, specifically Trellis.2, by conditioning the generation process on localized scene chunks to achieve scene-scale reconstruction. The approach enables faithful, editable PBR mesh reconstructions of indoor environments, outperforming existing methods.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
To reconstruct detailed and editable 3D meshes of indoor scenes from multiple 2D images by combining generative modeling with scene decomposition.
✨ Key Features:
• High-fidelity 3D scene reconstruction from multi-view images
• Integration of strong generative 3D priors (e.g., Trellis.2)
• Scene reconstruction via spatially-localized, overlapping chunks
📖 Summary:
GenRecon is a Python-based framework for high-fidelity 3D scene reconstruction from multi-view RGB images. It leverages strong generative 3D priors, specifically Trellis.2, by conditioning the generation process on localized scene chunks to achieve scene-scale reconstruction. The approach enables faithful, editable PBR mesh reconstructions of indoor environments, outperforming existing methods.
🔗 Links:
• View Project
================
🔓 Open Source
🚀 torlink | TypeScript
🎯 Primary Use Case:
To provide a fast, simple, and private way to find and download torrents directly from the command line without any complex setup.
✨ Key Features:
• Terminal-based interface
• Zero setup and configuration
• Curated list of reputable torrent sources
• Direct magnet link and infohash support
• Background download management
📖 Summary:
torlink is a terminal-based torrent finder and downloader that simplifies the process of locating and downloading torrent files. It searches a curated list of reputable sources, presents results clearly, and handles downloads directly within the terminal, offering a zero-setup, zero-configuration user experience.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To provide a fast, simple, and private way to find and download torrents directly from the command line without any complex setup.
✨ Key Features:
• Terminal-based interface
• Zero setup and configuration
• Curated list of reputable torrent sources
• Direct magnet link and infohash support
• Background download management
📖 Summary:
torlink is a terminal-based torrent finder and downloader that simplifies the process of locating and downloading torrent files. It searches a curated list of reputable sources, presents results clearly, and handles downloads directly within the terminal, offering a zero-setup, zero-configuration user experience.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
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✨ L0p4Map | Python
🎯 Primary Use Case:
Network monitoring, visualization, and security analysis for security researchers.
✨ Key Features:
• ARP Network Scan
• Hostname Resolution
• Device Fingerprinting
• Role Detection
• Real Network Topology Graph
📖 Summary:
L0p4Map is a professional network monitoring and visualization tool designed for security researchers. It combines high-speed ARP scanning, hostname resolution, device fingerprinting, and role detection with a comprehensive nmap integration for deep network analysis and vulnerability assessment.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Network monitoring, visualization, and security analysis for security researchers.
✨ Key Features:
• ARP Network Scan
• Hostname Resolution
• Device Fingerprinting
• Role Detection
• Real Network Topology Graph
📖 Summary:
L0p4Map is a professional network monitoring and visualization tool designed for security researchers. It combines high-speed ARP scanning, hostname resolution, device fingerprinting, and role detection with a comprehensive nmap integration for deep network analysis and vulnerability assessment.
🔗 Links:
• View Project
================
🔓 Open Source
✨ codebase-memory-mcp | C
🎯 Primary Use Case:
To provide AI coding agents with fast, efficient, and comprehensive code intelligence by indexing codebases into a navigable knowledge graph.
✨ Key Features:
• High-performance code indexing (milliseconds for average repo, minutes for Linux kernel)
• Persistent knowledge graph creation
📖 Summary:
Codebase-Memory-MCP is a high-performance C-based code intelligence engine that indexes entire codebases into a knowledge graph for AI coding agents. It achieves extreme indexing speeds and sub-millisecond query times, supporting 158 languages with enhanced semantic resolution for popular ones, and ships as a single, zero-dependency static binary.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To provide AI coding agents with fast, efficient, and comprehensive code intelligence by indexing codebases into a navigable knowledge graph.
✨ Key Features:
• High-performance code indexing (milliseconds for average repo, minutes for Linux kernel)
• Persistent knowledge graph creation
📖 Summary:
Codebase-Memory-MCP is a high-performance C-based code intelligence engine that indexes entire codebases into a knowledge graph for AI coding agents. It achieves extreme indexing speeds and sub-millisecond query times, supporting 158 languages with enhanced semantic resolution for popular ones, and ships as a single, zero-dependency static binary.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🔥 rlm | Python
🎯 Primary Use Case:
To provide a general plug-and-play inference library for Recursive Language Models (RLMs), enabling language models to process and interact with extremely long contexts by recursively calling themselves within a sandboxed environment.
✨ Key Features:
• Task-agnostic inference paradigm for language models
📖 Summary:
Recursive Language Models (RLMs) offer a novel inference paradigm for language models, enabling them to handle near-infinite context lengths by programmatically examining, decomposing, and recursively calling themselves. This library provides an extensible inference engine and training environment for RLMs, supporting various sandboxes and standard API-based or local LLMs.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To provide a general plug-and-play inference library for Recursive Language Models (RLMs), enabling language models to process and interact with extremely long contexts by recursively calling themselves within a sandboxed environment.
✨ Key Features:
• Task-agnostic inference paradigm for language models
📖 Summary:
Recursive Language Models (RLMs) offer a novel inference paradigm for language models, enabling them to handle near-infinite context lengths by programmatically examining, decomposing, and recursively calling themselves. This library provides an extensible inference engine and training environment for RLMs, supporting various sandboxes and standard API-based or local LLMs.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🔥 universal-android-debloater-next-generation | Rust
🎯 Primary Use Case:
Removing unwanted system applications (bloatware) from Android devices to enhance privacy, security, and performance, without requiring root access.
✨ Key Features:
• Cross-platform GUI application
• Uses ADB for debloating
• Supports non-rooted devices
• Improves privacy, security, and battery life
• Reduces attack surface by removing system apps
📖 Summary:
Universal Android Debloater Next Generation (UAD-ng) is a cross-platform GUI application written in Rust that uses ADB to remove pre-installed system apps (bloatware) from non-rooted Android devices. It aims to improve device privacy, security, and performance by reducing the attack surface and freeing up resources.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Removing unwanted system applications (bloatware) from Android devices to enhance privacy, security, and performance, without requiring root access.
✨ Key Features:
• Cross-platform GUI application
• Uses ADB for debloating
• Supports non-rooted devices
• Improves privacy, security, and battery life
• Reduces attack surface by removing system apps
📖 Summary:
Universal Android Debloater Next Generation (UAD-ng) is a cross-platform GUI application written in Rust that uses ADB to remove pre-installed system apps (bloatware) from non-rooted Android devices. It aims to improve device privacy, security, and performance by reducing the attack surface and freeing up resources.
🔗 Links:
• View Project
================
🔓 Open Source
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💡 StegoForge | Python
🎯 Primary Use Case:
To provide a unified and powerful platform for both hiding (steganography) and finding (digital forensics) hidden data within various digital media, catering to security professionals and enthusiasts.
✨ Key Features:
• Data embedding and extraction across images, audio, video, documents, and network packets
• AES-256-GCM encryption for payloads
• 11 advanced steganalysis detection engines
📖 Summary:
StegoForge is a comprehensive Python toolkit for steganography and digital forensics. It allows users to hide and extract data within various file types like images, audio, and video, while also providing advanced detection engines to uncover hidden information. The tool is designed for security researchers, CTF players, and digital forensics practitioners.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
To provide a unified and powerful platform for both hiding (steganography) and finding (digital forensics) hidden data within various digital media, catering to security professionals and enthusiasts.
✨ Key Features:
• Data embedding and extraction across images, audio, video, documents, and network packets
• AES-256-GCM encryption for payloads
• 11 advanced steganalysis detection engines
📖 Summary:
StegoForge is a comprehensive Python toolkit for steganography and digital forensics. It allows users to hide and extract data within various file types like images, audio, and video, while also providing advanced detection engines to uncover hidden information. The tool is designed for security researchers, CTF players, and digital forensics practitioners.
🔗 Links:
• View Project
================
🔓 Open Source
🔥 pxpipe | TypeScript
🎯 Primary Use Case:
To drastically reduce the token count and associated costs of interacting with large language models by encoding dense text context into image format.
✨ Key Features:
• Reduces LLM token usage by converting text context to images
• Fixed token cost for images regardless of text volume
• Local proxy intercepts and rewrites requests before sending to LLM
📖 Summary:
pxpipe is a local proxy that reduces token usage for large language models like Claude by rendering bulky text context (like system prompts, tool documentation, and conversation history) into images. Since image token cost is based on pixel dimensions rather than content, this significantly cuts down on the total tokens required for a request, leading to substantial cost savings.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
To drastically reduce the token count and associated costs of interacting with large language models by encoding dense text context into image format.
✨ Key Features:
• Reduces LLM token usage by converting text context to images
• Fixed token cost for images regardless of text volume
• Local proxy intercepts and rewrites requests before sending to LLM
📖 Summary:
pxpipe is a local proxy that reduces token usage for large language models like Claude by rendering bulky text context (like system prompts, tool documentation, and conversation history) into images. Since image token cost is based on pixel dimensions rather than content, this significantly cuts down on the total tokens required for a request, leading to substantial cost savings.
🔗 Links:
• View Project
================
🔓 Open Source
🚀 romm | Python
🎯 Primary Use Case:
Organizing and playing a personal retro game collection through a centralized, web-based interface.
✨ Key Features:
• Scan and enhance game library with metadata from IGDB, Screenscraper, and MobyGames
• Fetch custom artwork from SteamGridDB
• Display achievements from Retroachievements
• Support for 400+ platforms
• Play games directly from the browser using EmulatorJS and RuffleRS
📖 Summary:
RomM is a self-hosted ROM manager and player that allows users to scan, organize, and play their game collection through a web interface. It enriches game libraries with metadata and artwork from various online sources and supports multiple platforms and custom tagging.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Organizing and playing a personal retro game collection through a centralized, web-based interface.
✨ Key Features:
• Scan and enhance game library with metadata from IGDB, Screenscraper, and MobyGames
• Fetch custom artwork from SteamGridDB
• Display achievements from Retroachievements
• Support for 400+ platforms
• Play games directly from the browser using EmulatorJS and RuffleRS
📖 Summary:
RomM is a self-hosted ROM manager and player that allows users to scan, organize, and play their game collection through a web interface. It enriches game libraries with metadata and artwork from various online sources and supports multiple platforms and custom tagging.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source