✨ 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
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🔓 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
❤1
✨ 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
❤1
💡 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
🌟 no-mistakes | Go
🎯 Primary Use Case:
To automate and enhance the code review process by ensuring code quality and correctness before it reaches the main repository through AI-powered checks and automated fixes, resulting in cleaner Pull Requests.
✨ Key Features:
• Local git proxy for push operations
• AI-driven validation pipeline (review, test, docs, lint)
📖 Summary:
This Go-based tool acts as a local Git proxy, intercepting pushes to a remote repository. It spins up a disposable worktree to run an AI-driven validation pipeline, automatically fixing minor issues and escalating complex ones for user approval before finally pushing to the configured target and opening a clean Pull Request.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To automate and enhance the code review process by ensuring code quality and correctness before it reaches the main repository through AI-powered checks and automated fixes, resulting in cleaner Pull Requests.
✨ Key Features:
• Local git proxy for push operations
• AI-driven validation pipeline (review, test, docs, lint)
📖 Summary:
This Go-based tool acts as a local Git proxy, intercepting pushes to a remote repository. It spins up a disposable worktree to run an AI-driven validation pipeline, automatically fixing minor issues and escalating complex ones for user approval before finally pushing to the configured target and opening a clean Pull Request.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
✨ aya | TypeScript
🎯 Primary Use Case:
Providing a user-friendly desktop GUI for managing and debugging Android devices connected via ADB.
✨ Key Features:
• Screen mirror
• File explorer
• Application manager
• Process monitor
• Layout inspector
📖 Summary:
AYA is a desktop application that provides a graphical user interface for controlling Android devices via ADB. It simplifies common development and debugging tasks by offering a visual wrapper around the command-line ADB tool.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Providing a user-friendly desktop GUI for managing and debugging Android devices connected via ADB.
✨ Key Features:
• Screen mirror
• File explorer
• Application manager
• Process monitor
• Layout inspector
📖 Summary:
AYA is a desktop application that provides a graphical user interface for controlling Android devices via ADB. It simplifies common development and debugging tasks by offering a visual wrapper around the command-line ADB tool.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
❤1
🌟 openserp | Go
🎯 Primary Use Case:
Providing a self-hosted, multi-engine Search Engine Results Page (SERP) API for AI, LLM, RAG, and SEO automation tasks, especially for non-Google search engine coverage.
✨ Key Features:
• Multi-engine support (Google, Yandex, Baidu, Bing, DuckDuckGo, Ecosia)
• Megasearch across multiple engines
• URL extraction with content parsing (Markdown, Text)
• SERP features (AI summaries, answer boxes, etc.)
• Image search
📖 Summary:
OpenSERP is an open-source, self-hostable API and CLI that provides live search data from multiple search engines like Google, Yandex, and Bing. It's designed for AI, SEO, and automation workflows, offering features like URL extraction, SERP feature parsing, and various data output formats.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Providing a self-hosted, multi-engine Search Engine Results Page (SERP) API for AI, LLM, RAG, and SEO automation tasks, especially for non-Google search engine coverage.
✨ Key Features:
• Multi-engine support (Google, Yandex, Baidu, Bing, DuckDuckGo, Ecosia)
• Megasearch across multiple engines
• URL extraction with content parsing (Markdown, Text)
• SERP features (AI summaries, answer boxes, etc.)
• Image search
📖 Summary:
OpenSERP is an open-source, self-hostable API and CLI that provides live search data from multiple search engines like Google, Yandex, and Bing. It's designed for AI, SEO, and automation workflows, offering features like URL extraction, SERP feature parsing, and various data output formats.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
❤1
✨ WifiForge | Python
🎯 Primary Use Case:
Training cybersecurity professionals and students on Wi-Fi attack vectors and wireless capabilities in a simulated environment.
✨ Key Features:
• Safe and legal Wi-Fi hacking training environment
• Automated network and tool setup for labs
• Based on open-source mininet-wifi
• Removes need for physical hardware for attacks
• Supports various Wi-Fi exploitation labs
📖 Summary:
WifiForge is a Python-based tool designed to provide a safe and legal environment for learning Wi-Fi hacking techniques. It automates the setup of networks and tools required for various Wi-Fi exploitation labs, leveraging the open-source mininet-wifi framework.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Training cybersecurity professionals and students on Wi-Fi attack vectors and wireless capabilities in a simulated environment.
✨ Key Features:
• Safe and legal Wi-Fi hacking training environment
• Automated network and tool setup for labs
• Based on open-source mininet-wifi
• Removes need for physical hardware for attacks
• Supports various Wi-Fi exploitation labs
📖 Summary:
WifiForge is a Python-based tool designed to provide a safe and legal environment for learning Wi-Fi hacking techniques. It automates the setup of networks and tools required for various Wi-Fi exploitation labs, leveraging the open-source mininet-wifi framework.
🔗 Links:
• View Project
================
🔓 Open Source
🌟 dockerscan | Go
🎯 Primary Use Case:
Scanning Docker containers and images for security vulnerabilities, compliance issues, and hidden threats.
✨ Key Features:
• CIS Docker Benchmark v1.7.0 compliance checking
• Supply Chain Attack Detection (Imageless Container, Cryptocurrency Miner, Backdoored Library, Image Signature Verification, Phishing Content, Malicious Network Destinations)
• Advanced Secrets Detection (Cloud Providers, Version Control, AI/ML APIs)
• Written in Go for speed and concurrency
📖 Summary:
DockerScan v2.0 is a comprehensive security scanner for Docker containers and images, rewritten in Go. It integrates multiple scanning techniques, including CIS benchmarks, supply chain attack detection, and advanced secrets detection, to ensure container security and compliance.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Scanning Docker containers and images for security vulnerabilities, compliance issues, and hidden threats.
✨ Key Features:
• CIS Docker Benchmark v1.7.0 compliance checking
• Supply Chain Attack Detection (Imageless Container, Cryptocurrency Miner, Backdoored Library, Image Signature Verification, Phishing Content, Malicious Network Destinations)
• Advanced Secrets Detection (Cloud Providers, Version Control, AI/ML APIs)
• Written in Go for speed and concurrency
📖 Summary:
DockerScan v2.0 is a comprehensive security scanner for Docker containers and images, rewritten in Go. It integrates multiple scanning techniques, including CIS benchmarks, supply chain attack detection, and advanced secrets detection, to ensure container security and compliance.
🔗 Links:
• View Project
================
🔓 Open Source
🚀 tuxmate | TypeScript
🎯 Primary Use Case:
Simplifying and standardizing the process of installing applications across different Linux distributions by generating safe, inspectable installation commands.
✨ Key Features:
• Cross-distro generation (apt, pacman, dnf, zypper, nix, Flatpak, Snap, Homebrew)
• Native-first resolution with fallbacks
• Safe generation with inspectable output and package checks
• Parallel Flatpak installs
• Homebrew-aware output
📖 Summary:
TuxMate is a cross-distro command generator for installing applications on Linux. It allows users to select applications once and generate inspectable installation commands or scripts tailored for various Linux distributions and package managers, ensuring safe and understandable execution.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Simplifying and standardizing the process of installing applications across different Linux distributions by generating safe, inspectable installation commands.
✨ Key Features:
• Cross-distro generation (apt, pacman, dnf, zypper, nix, Flatpak, Snap, Homebrew)
• Native-first resolution with fallbacks
• Safe generation with inspectable output and package checks
• Parallel Flatpak installs
• Homebrew-aware output
📖 Summary:
TuxMate is a cross-distro command generator for installing applications on Linux. It allows users to select applications once and generate inspectable installation commands or scripts tailored for various Linux distributions and package managers, ensuring safe and understandable execution.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
💡 dir2txt | Python
🎯 Primary Use Case:
Consolidating entire project codebases into a single text file for analysis by Large Language Models (LLMs), code reviews, or archival purposes.
✨ Key Features:
• Recursively scans all files in a directory
• Skips binary files
• Supports .dir2txtignore for custom ignore patterns
• Automatically removes code comments
• Estimates token count and checks against model limits
📖 Summary:
dir2txt is a Python script that recursively scans a project directory, extracts the content of all non-binary files, and consolidates it into a single text file. It offers features like ignoring specific files, removing code comments, and estimating token counts, making it useful for feeding codebases to LLMs, code reviews, or creating project backups.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Consolidating entire project codebases into a single text file for analysis by Large Language Models (LLMs), code reviews, or archival purposes.
✨ Key Features:
• Recursively scans all files in a directory
• Skips binary files
• Supports .dir2txtignore for custom ignore patterns
• Automatically removes code comments
• Estimates token count and checks against model limits
📖 Summary:
dir2txt is a Python script that recursively scans a project directory, extracts the content of all non-binary files, and consolidates it into a single text file. It offers features like ignoring specific files, removing code comments, and estimating token counts, making it useful for feeding codebases to LLMs, code reviews, or creating project backups.
🔗 Links:
• View Project
================
🔓 Open Source
✨ microrealestate | JavaScript
🎯 Primary Use Case:
Property and rental management for landlords.
✨ Key Features:
• Centralized Property and Tenant Information
• Rent Lease Creation
• Rent Payment Tracking
• Custom Document Generation
• Collaboration
📖 Summary:
MicroRealEstate is an open-source JavaScript application designed to help landlords manage their rental properties. It provides a centralized platform for storing property and tenant information, creating leases, tracking rent payments, generating custom documents, and facilitating collaboration among users.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Property and rental management for landlords.
✨ Key Features:
• Centralized Property and Tenant Information
• Rent Lease Creation
• Rent Payment Tracking
• Custom Document Generation
• Collaboration
📖 Summary:
MicroRealEstate is an open-source JavaScript application designed to help landlords manage their rental properties. It provides a centralized platform for storing property and tenant information, creating leases, tracking rent payments, generating custom documents, and facilitating collaboration among users.
🔗 Links:
• View Project
================
🔓 Open Source
💡 dangerzone | Python
🎯 Primary Use Case:
To securely convert untrusted documents into a safe PDF format, mitigating risks from malicious content.
✨ Key Features:
• Sandboxed document conversion
• Network-isolated processing
• Conversion of PDFs, Office documents, and images
• Optional OCR for text layer
• PDF compression
📖 Summary:
Dangerzone is a security tool that converts potentially dangerous documents (PDFs, Office files, images) into safe, pixel-based PDFs. It achieves this by processing the documents within an isolated sandbox environment, stripping away any executable content and rendering them as raw image data before reconstructing them into a new, secure PDF.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To securely convert untrusted documents into a safe PDF format, mitigating risks from malicious content.
✨ Key Features:
• Sandboxed document conversion
• Network-isolated processing
• Conversion of PDFs, Office documents, and images
• Optional OCR for text layer
• PDF compression
📖 Summary:
Dangerzone is a security tool that converts potentially dangerous documents (PDFs, Office files, images) into safe, pixel-based PDFs. It achieves this by processing the documents within an isolated sandbox environment, stripping away any executable content and rendering them as raw image data before reconstructing them into a new, secure PDF.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🌟 ease-master | TypeScript
🎯 Primary Use Case:
Visualizing, designing, and generating animation easing functions for frontend development across multiple frameworks.
✨ Key Features:
• Dual Modes: Cubic Bezier Editor and Spring Physics Engine
• Multi-Framework Export: CSS, Tailwind CSS, Framer Motion, GSAP
• Advanced Preview Playground
• Smart Presets (Industry Standards, OS-style springs)
📖 Summary:
EaseMaster is a TypeScript-based tool for modern frontend development that visualizes and generates easing functions for animations. It allows designers and developers to create and export custom Cubic Bezier curves and Spring physics animations into production-ready code for CSS, Tailwind CSS, Framer Motion, and GSAP.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Visualizing, designing, and generating animation easing functions for frontend development across multiple frameworks.
✨ Key Features:
• Dual Modes: Cubic Bezier Editor and Spring Physics Engine
• Multi-Framework Export: CSS, Tailwind CSS, Framer Motion, GSAP
• Advanced Preview Playground
• Smart Presets (Industry Standards, OS-style springs)
📖 Summary:
EaseMaster is a TypeScript-based tool for modern frontend development that visualizes and generates easing functions for animations. It allows designers and developers to create and export custom Cubic Bezier curves and Spring physics animations into production-ready code for CSS, Tailwind CSS, Framer Motion, and GSAP.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
💡 winshot | TypeScript
🎯 Primary Use Case:
Capturing, annotating, and exporting screenshots on Windows with a user-friendly interface and advanced editing tools.
✨ Key Features:
• Multiple capture modes (Fullscreen, Region, Window, Hotkey)
• Rich annotation tools (Shapes, Arrows, Text, Numbers, Spotlight)
• Non-destructive editing and cropping
• Multiple export formats (PNG, JPEG) and output ratios
• System tray integration and global hotkeys
📖 Summary:
WinShot is a lightweight and performant screenshot tool for Windows, built with Wails (Go + React). It offers a modern glassmorphism UI and a wide range of features for capturing, annotating, and exporting screenshots efficiently.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Capturing, annotating, and exporting screenshots on Windows with a user-friendly interface and advanced editing tools.
✨ Key Features:
• Multiple capture modes (Fullscreen, Region, Window, Hotkey)
• Rich annotation tools (Shapes, Arrows, Text, Numbers, Spotlight)
• Non-destructive editing and cropping
• Multiple export formats (PNG, JPEG) and output ratios
• System tray integration and global hotkeys
📖 Summary:
WinShot is a lightweight and performant screenshot tool for Windows, built with Wails (Go + React). It offers a modern glassmorphism UI and a wide range of features for capturing, annotating, and exporting screenshots efficiently.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source