🚀 buster | Python
🎯 Primary Use Case:
Email reconnaissance and OSINT investigations
✨ Key Features:
• Get social accounts of an email
• Get links to where the email was found
• Get breaches of an email
• Get domains registered with an email (reverse whois)
• Generate possible emails and usernames
📖 Summary:
Buster is an OSINT tool designed for email reconnaissance. It gathers information about an email address, including associated social media accounts, data breaches, and links where the email was found. It can also generate possible email addresses and usernames, find emails from social media accounts or usernames, and discover work emails.
🔗 Links:
• View Project
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🔓 Open Source
🎯 Primary Use Case:
Email reconnaissance and OSINT investigations
✨ Key Features:
• Get social accounts of an email
• Get links to where the email was found
• Get breaches of an email
• Get domains registered with an email (reverse whois)
• Generate possible emails and usernames
📖 Summary:
Buster is an OSINT tool designed for email reconnaissance. It gathers information about an email address, including associated social media accounts, data breaches, and links where the email was found. It can also generate possible email addresses and usernames, find emails from social media accounts or usernames, and discover work emails.
🔗 Links:
• View Project
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🔓 Open Source
🔥 rustnet | Rust
🎯 Primary Use Case:
Network monitoring and analysis
✨ Key Features:
• Real-time Network Monitoring
• Connection States Tracking
• Interface Statistics
• Deep Packet Inspection (DPI)
• TCP Network Analytics
📖 Summary:
RustNet is a cross-platform network monitoring tool built with Rust that provides real-time visibility into network connections. It offers detailed state information, connection lifecycle management, deep packet inspection, and a terminal user interface for monitoring network activity.
🔗 Links:
• View Project
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🔓 Open Source
🎯 Primary Use Case:
Network monitoring and analysis
✨ Key Features:
• Real-time Network Monitoring
• Connection States Tracking
• Interface Statistics
• Deep Packet Inspection (DPI)
• TCP Network Analytics
📖 Summary:
RustNet is a cross-platform network monitoring tool built with Rust that provides real-time visibility into network connections. It offers detailed state information, connection lifecycle management, deep packet inspection, and a terminal user interface for monitoring network activity.
🔗 Links:
• View Project
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🔓 Open Source
🌟 tinyworlds | Python
🎯 Primary Use Case:
Understanding and experimenting with scalable world models based on DeepMind's Genie architecture.
✨ Key Features:
• Autoregressive world model
• Unsupervised action inference
• Video Tokenizer
• Action Tokenizer
• Dynamics Model
📖 Summary:
TinyWorlds is a minimal implementation of DeepMind's Genie world model, focusing on autoregressive, unsupervised learning for scalable world models. It aims to help users understand the Genie architecture by providing a simplified version with key components like video and action tokenizers, a dynamics model, and techniques like Space-Time Transformers and Variational Autoencoders.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Understanding and experimenting with scalable world models based on DeepMind's Genie architecture.
✨ Key Features:
• Autoregressive world model
• Unsupervised action inference
• Video Tokenizer
• Action Tokenizer
• Dynamics Model
📖 Summary:
TinyWorlds is a minimal implementation of DeepMind's Genie world model, focusing on autoregressive, unsupervised learning for scalable world models. It aims to help users understand the Genie architecture by providing a simplified version with key components like video and action tokenizers, a dynamics model, and techniques like Space-Time Transformers and Variational Autoencoders.
🔗 Links:
• View Project
• Homepage
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🔓 Open Source
🤔1
🔥 blades | Go
🎯 Primary Use Case:
Building multimodal AI agents and workflows in Go.
✨ Key Features:
• Go Idiomatic design
• Simple to use Agent definition
• Middleware Ecosystem inspired by Kratos
• Highly Extensible architecture
• Pluggable ModelProvider interface
📖 Summary:
Blades is a Go-based multimodal AI Agent framework designed to facilitate the creation of intelligent agents. It supports custom models, tools, memory, and middleware, making it suitable for multi-turn conversations, chain-of-thought reasoning, and structured output. The framework emphasizes flexibility and extensibility through decoupled components and unified interfaces.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Building multimodal AI agents and workflows in Go.
✨ Key Features:
• Go Idiomatic design
• Simple to use Agent definition
• Middleware Ecosystem inspired by Kratos
• Highly Extensible architecture
• Pluggable ModelProvider interface
📖 Summary:
Blades is a Go-based multimodal AI Agent framework designed to facilitate the creation of intelligent agents. It supports custom models, tools, memory, and middleware, making it suitable for multi-turn conversations, chain-of-thought reasoning, and structured output. The framework emphasizes flexibility and extensibility through decoupled components and unified interfaces.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
💡 30-Days-Of-Python | Python
🎯 Primary Use Case:
Learning Python programming from beginner to intermediate level through a structured, daily curriculum.
✨ Key Features:
• Introduction to Python
• Variables and Built-in Functions
• Operators
• Strings
• Lists
📖 Summary:
The 30 Days of Python repository is a step-by-step guide designed to help individuals learn the Python programming language over a 30-day period. It covers a wide range of fundamental Python topics, from basic syntax and data structures to more advanced concepts like web scraping and API development.
🔗 Links:
• View Project
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🔓 Open Source
🎯 Primary Use Case:
Learning Python programming from beginner to intermediate level through a structured, daily curriculum.
✨ Key Features:
• Introduction to Python
• Variables and Built-in Functions
• Operators
• Strings
• Lists
📖 Summary:
The 30 Days of Python repository is a step-by-step guide designed to help individuals learn the Python programming language over a 30-day period. It covers a wide range of fundamental Python topics, from basic syntax and data structures to more advanced concepts like web scraping and API development.
🔗 Links:
• View Project
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🔓 Open Source
💡 rgallery | Go
🎯 Primary Use Case:
Organizing and browsing personal photo and video collections.
✨ Key Features:
• Timeline view with filtering
• Search across metadata
• Map view for geotagged media
• Reverse geocoding
• Infinite slider
📖 Summary:
rgallery is an offline photo and video timeline application that syncs from your filesystem. It provides a web interface with features like timeline view, search, map view, EXIF metadata display, and folder browsing, aiming to unify photo and video collections into a single, elegant experience.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Organizing and browsing personal photo and video collections.
✨ Key Features:
• Timeline view with filtering
• Search across metadata
• Map view for geotagged media
• Reverse geocoding
• Infinite slider
📖 Summary:
rgallery is an offline photo and video timeline application that syncs from your filesystem. It provides a web interface with features like timeline view, search, map view, EXIF metadata display, and folder browsing, aiming to unify photo and video collections into a single, elegant experience.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🚀 vex-tui | Go
🎯 Primary Use Case:
Viewing and manipulating Excel and CSV files in a terminal environment.
✨ Key Features:
• Six Beautiful Themes
• Powerful Navigation (Vim-style keybindings, jump to cell, search)
• Data Operations (copy, export to CSV/JSON, toggle formula display)
• Live Data Visualization (bar charts, line charts, sparklines, pie charts)
• File Support (Excel, CSV, multiple sheets, formula display, lazy loading)
📖 Summary:
Vex-TUI is a terminal-based Excel and CSV viewer written in Go. It provides a feature-rich interface for viewing, navigating, and manipulating data within spreadsheet files directly from the command line, including support for multiple themes, data operations like copy/export, and live data visualization.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Viewing and manipulating Excel and CSV files in a terminal environment.
✨ Key Features:
• Six Beautiful Themes
• Powerful Navigation (Vim-style keybindings, jump to cell, search)
• Data Operations (copy, export to CSV/JSON, toggle formula display)
• Live Data Visualization (bar charts, line charts, sparklines, pie charts)
• File Support (Excel, CSV, multiple sheets, formula display, lazy loading)
📖 Summary:
Vex-TUI is a terminal-based Excel and CSV viewer written in Go. It provides a feature-rich interface for viewing, navigating, and manipulating data within spreadsheet files directly from the command line, including support for multiple themes, data operations like copy/export, and live data visualization.
🔗 Links:
• View Project
================
🔓 Open Source
✨ Seelen-UI | Rust
🎯 Primary Use Case:
Enhancing and personalizing the Windows desktop experience with a focus on customization and productivity.
✨ Key Features:
• Customizable desktop elements (menus, widgets, icons)
• Tiling Window Manager for enhanced multitasking
• Integrated media module compatible with most music players
• App launcher inspired by Rofi for quick application access
• User-friendly configuration interface
📖 Summary:
Seelen UI is a customizable desktop environment for Windows 10/11, written in Rust. It aims to enhance user experience by providing tools for personalization, productivity, and seamless integration of various functionalities like a tiling window manager, media module, and app launcher.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Enhancing and personalizing the Windows desktop experience with a focus on customization and productivity.
✨ Key Features:
• Customizable desktop elements (menus, widgets, icons)
• Tiling Window Manager for enhanced multitasking
• Integrated media module compatible with most music players
• App launcher inspired by Rofi for quick application access
• User-friendly configuration interface
📖 Summary:
Seelen UI is a customizable desktop environment for Windows 10/11, written in Rust. It aims to enhance user experience by providing tools for personalization, productivity, and seamless integration of various functionalities like a tiling window manager, media module, and app launcher.
🔗 Links:
• View Project
================
🔓 Open Source
✨ tilelang | C++
🎯 Primary Use Case:
Streamlining the development of high-performance GPU/CPU kernels for AI workloads.
✨ Key Features:
• Pythonic syntax
• TVM compiler infrastructure
• GPU/CPU kernel development
• GEMM support
• Dequant GEMM support
📖 Summary:
Tile Language (tile-lang) is a domain-specific language designed to streamline the development of high-performance GPU/CPU kernels. It uses a Pythonic syntax and builds upon the TVM compiler infrastructure, allowing developers to focus on productivity while achieving state-of-the-art performance in areas like GEMM, Dequant GEMM, and FlashAttention.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Streamlining the development of high-performance GPU/CPU kernels for AI workloads.
✨ Key Features:
• Pythonic syntax
• TVM compiler infrastructure
• GPU/CPU kernel development
• GEMM support
• Dequant GEMM support
📖 Summary:
Tile Language (tile-lang) is a domain-specific language designed to streamline the development of high-performance GPU/CPU kernels. It uses a Pythonic syntax and builds upon the TVM compiler infrastructure, allowing developers to focus on productivity while achieving state-of-the-art performance in areas like GEMM, Dequant GEMM, and FlashAttention.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
💡 yt-dlp-mcp | TypeScript
🎯 Primary Use Case:
Integrating video and audio content with Large Language Models and AI agents for tasks such as information retrieval, content analysis, and automated workflows.
✨ Key Features:
• Search & Discovery (YouTube search with pagination)
• Metadata Extraction (video and channel details)
• Transcript & Subtitles (download and generate transcripts)
• Video Downloads (resolution control, trimming)
📖 Summary:
The yt-dlp-mcp repository provides a Model Context Protocol (MCP) server that acts as a bridge between video and audio content from platforms like YouTube and Large Language Models. It leverages yt-dlp to enable AI agents to search, extract metadata, download content, and generate transcripts from video and audio sources using natural language commands.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Integrating video and audio content with Large Language Models and AI agents for tasks such as information retrieval, content analysis, and automated workflows.
✨ Key Features:
• Search & Discovery (YouTube search with pagination)
• Metadata Extraction (video and channel details)
• Transcript & Subtitles (download and generate transcripts)
• Video Downloads (resolution control, trimming)
📖 Summary:
The yt-dlp-mcp repository provides a Model Context Protocol (MCP) server that acts as a bridge between video and audio content from platforms like YouTube and Large Language Models. It leverages yt-dlp to enable AI agents to search, extract metadata, download content, and generate transcripts from video and audio sources using natural language commands.
🔗 Links:
• View Project
================
🔓 Open Source
💡 BubbleLab | TypeScript
🎯 Primary Use Case:
Automating workflows with full control, transparency, and type safety, enabling developers to own, debug, and deploy workflows anywhere.
✨ Key Features:
• Prompt to Workflow (AI-assisted workflow generation)
• Full Observability (execution tracing, logs, token usage, performance metrics)
• Import from n8n (workflow migration)
📖 Summary:
Bubble Lab is an open-source workflow automation platform designed for developers. It offers full observability, allowing users to monitor execution, track token usage, and debug workflows. A key feature is the ability to export workflows as clean, production-ready TypeScript code, providing control and portability.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Automating workflows with full control, transparency, and type safety, enabling developers to own, debug, and deploy workflows anywhere.
✨ Key Features:
• Prompt to Workflow (AI-assisted workflow generation)
• Full Observability (execution tracing, logs, token usage, performance metrics)
• Import from n8n (workflow migration)
📖 Summary:
Bubble Lab is an open-source workflow automation platform designed for developers. It offers full observability, allowing users to monitor execution, track token usage, and debug workflows. A key feature is the ability to export workflows as clean, production-ready TypeScript code, providing control and portability.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🚀 posterizarr | PowerShell
🎯 Primary Use Case:
Automated generation of textless posters for media libraries.
✨ Key Features:
• User-Friendly Web UI
• Multiple Media Servers (Plex, Jellyfin, Emby)
• Kometa Integration
• Smart Integration (Tautulli, Sonarr, Radarr)
📖 Summary:
Posterizarr is a PowerShell script with a Web UI that automates the creation of textless posters for media libraries in Plex, Jellyfin, and Emby. It fetches artwork from various sources, applies custom overlays and text, and integrates with other media server tools.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Automated generation of textless posters for media libraries.
✨ Key Features:
• User-Friendly Web UI
• Multiple Media Servers (Plex, Jellyfin, Emby)
• Kometa Integration
• Smart Integration (Tautulli, Sonarr, Radarr)
📖 Summary:
Posterizarr is a PowerShell script with a Web UI that automates the creation of textless posters for media libraries in Plex, Jellyfin, and Emby. It fetches artwork from various sources, applies custom overlays and text, and integrates with other media server tools.
🔗 Links:
• View Project
================
🔓 Open Source
✨ Web-Navigator | Python
🎯 Primary Use Case:
Automating web browsing and scraping tasks to improve productivity and save time.
✨ Key Features:
• Web browsing automation
• Web scraping
• Dynamic content interaction
• Intelligent web searching
• File downloading
📖 Summary:
Web-Navigator is a Python-based web browsing and scraping agent. It leverages LLMs and the Playwright framework to automate web tasks such as navigation, content interaction, searching, and file downloading. The agent is designed to adapt to dynamic web pages and streamline complex workflows.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Automating web browsing and scraping tasks to improve productivity and save time.
✨ Key Features:
• Web browsing automation
• Web scraping
• Dynamic content interaction
• Intelligent web searching
• File downloading
📖 Summary:
Web-Navigator is a Python-based web browsing and scraping agent. It leverages LLMs and the Playwright framework to automate web tasks such as navigation, content interaction, searching, and file downloading. The agent is designed to adapt to dynamic web pages and streamline complex workflows.
🔗 Links:
• View Project
================
🔓 Open Source
🌟 flycut-caption | TypeScript
🎯 Primary Use Case:
Creating and editing video subtitles using AI-powered speech recognition and visual editing tools.
✨ Key Features:
• Intelligent Speech Recognition
• Visual Subtitle Editing
• Real-time Video Preview
• Multi-format Export
• Subtitle Style Customization
📖 Summary:
FlyCut Caption is a React component for video subtitle editing, leveraging AI-powered speech recognition. It offers features like visual subtitle editing, real-time video preview, multi-format export, and subtitle style customization, making it a comprehensive tool for creating and editing video subtitles.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Creating and editing video subtitles using AI-powered speech recognition and visual editing tools.
✨ Key Features:
• Intelligent Speech Recognition
• Visual Subtitle Editing
• Real-time Video Preview
• Multi-format Export
• Subtitle Style Customization
📖 Summary:
FlyCut Caption is a React component for video subtitle editing, leveraging AI-powered speech recognition. It offers features like visual subtitle editing, real-time video preview, multi-format export, and subtitle style customization, making it a comprehensive tool for creating and editing video subtitles.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
✨ Foxel | TypeScript
🎯 Primary Use Case:
✨ Key Features:
📖 Summary:
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
✨ Key Features:
📖 Summary:
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source