💡 pokemon-gym | Python
🎯 Primary Use Case:
Evaluating AI agents on Pokemon Red gameplay.
✨ Key Features:
• Evaluator: Evaluation metrics and scoring system for Pokemon Red gameplay
• Server: FastAPI server that controls Pokemon Red emulation and exposes game state via API
• Agents: Implementation of AI and human agents that interact with the evaluator server
• Results: Evaluation results comparing different AI models playing Pokemon Red
📖 Summary:
PokemonGym is a platform for evaluating AI agents in Pokemon Red. It provides a server-client architecture with evaluation metrics, a FastAPI server for game state, and implementations for both AI and human agents. The platform also includes tools for visualizing and comparing the performance of different AI models.
🔗 Links:
• View Project
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🔓 Open Source
🎯 Primary Use Case:
Evaluating AI agents on Pokemon Red gameplay.
✨ Key Features:
• Evaluator: Evaluation metrics and scoring system for Pokemon Red gameplay
• Server: FastAPI server that controls Pokemon Red emulation and exposes game state via API
• Agents: Implementation of AI and human agents that interact with the evaluator server
• Results: Evaluation results comparing different AI models playing Pokemon Red
📖 Summary:
PokemonGym is a platform for evaluating AI agents in Pokemon Red. It provides a server-client architecture with evaluation metrics, a FastAPI server for game state, and implementations for both AI and human agents. The platform also includes tools for visualizing and comparing the performance of different AI models.
🔗 Links:
• View Project
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🔓 Open Source
✨ clippy | TypeScript
🎯 Primary Use Case:
Running large language models locally with a retro-style interface.
✨ Key Features:
• Simple chat interface
• Pre-packaged with Llama.cpp for efficient model execution
• Supports custom models, prompts, and parameters
• Offline and local operation
📖 Summary:
Clippy is an Electron-based application that allows users to run large language models (LLMs) locally on their computers using a 1990s-inspired user interface. It leverages Llama.cpp for efficient model execution and supports various GGUF models, offering a nostalgic yet functional way to interact with modern AI technology.
🔗 Links:
• View Project
• Homepage
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🔓 Open Source
🎯 Primary Use Case:
Running large language models locally with a retro-style interface.
✨ Key Features:
• Simple chat interface
• Pre-packaged with Llama.cpp for efficient model execution
• Supports custom models, prompts, and parameters
• Offline and local operation
📖 Summary:
Clippy is an Electron-based application that allows users to run large language models (LLMs) locally on their computers using a 1990s-inspired user interface. It leverages Llama.cpp for efficient model execution and supports various GGUF models, offering a nostalgic yet functional way to interact with modern AI technology.
🔗 Links:
• View Project
• Homepage
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🔓 Open Source
🌟 dnsanity | Go
🎯 Primary Use Case:
Validating DNS resolvers for security reconnaissance and DNS brute-forcing.
✨ Key Features:
• Fast DNS resolver validation
• Customizable validation templates
• Concurrency for testing at scale
• Global and per-server rate limiting
• Automatic template re-validation
📖 Summary:
DNSanity is a high-performance DNS validator written in Go that uses template-based verification to quickly validate DNS servers at scale. It offers features such as customizable validation templates, concurrency, and rate limiting, making it suitable for security reconnaissance and DNS brute-forcing.
🔗 Links:
• View Project
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🔓 Open Source
🎯 Primary Use Case:
Validating DNS resolvers for security reconnaissance and DNS brute-forcing.
✨ Key Features:
• Fast DNS resolver validation
• Customizable validation templates
• Concurrency for testing at scale
• Global and per-server rate limiting
• Automatic template re-validation
📖 Summary:
DNSanity is a high-performance DNS validator written in Go that uses template-based verification to quickly validate DNS servers at scale. It offers features such as customizable validation templates, concurrency, and rate limiting, making it suitable for security reconnaissance and DNS brute-forcing.
🔗 Links:
• View Project
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🔓 Open Source
✨ ShortMoji | Python
🎯 Primary Use Case:
Quick insertion of emojis and special characters using keyboard shortcuts in any application.
✨ Key Features:
• Emoji insertion via keyboard shortcuts
• Special character insertion via keyboard shortcuts
• Lightweight python program
• Similar to Discord's emoji system
📖 Summary:
ShortMoji is a lightweight Python application that allows users to quickly insert emojis and special characters using simple keyboard shortcuts, similar to Discord's emoji system. It provides a convenient way to enhance text input with visual elements without needing to browse through extensive emoji libraries or character maps. The application supports a wide range of emojis and special characters, accessible through easy-to-remember shortcuts.
🔗 Links:
• View Project
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🔓 Open Source
🎯 Primary Use Case:
Quick insertion of emojis and special characters using keyboard shortcuts in any application.
✨ Key Features:
• Emoji insertion via keyboard shortcuts
• Special character insertion via keyboard shortcuts
• Lightweight python program
• Similar to Discord's emoji system
📖 Summary:
ShortMoji is a lightweight Python application that allows users to quickly insert emojis and special characters using simple keyboard shortcuts, similar to Discord's emoji system. It provides a convenient way to enhance text input with visual elements without needing to browse through extensive emoji libraries or character maps. The application supports a wide range of emojis and special characters, accessible through easy-to-remember shortcuts.
🔗 Links:
• View Project
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🔓 Open Source
🚀 beforeafter | HTML
🎯 Primary Use Case:
Comparing and combining before/after images in a browser.
✨ Key Features:
• Combine before/after images side by side or vertically
• Visual diff tool to highlight changes between images
• Paste images directly from clipboard
• Drag and drop support
• Customizable appearance
📖 Summary:
BeforeAfter is a browser-based tool for comparing and combining images, particularly useful for visualizing changes. It offers features like side-by-side comparison, visual diff highlighting, clipboard pasting, drag-and-drop support, and customizable appearance. The tool requires no installation and runs entirely in the browser.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Comparing and combining before/after images in a browser.
✨ Key Features:
• Combine before/after images side by side or vertically
• Visual diff tool to highlight changes between images
• Paste images directly from clipboard
• Drag and drop support
• Customizable appearance
📖 Summary:
BeforeAfter is a browser-based tool for comparing and combining images, particularly useful for visualizing changes. It offers features like side-by-side comparison, visual diff highlighting, clipboard pasting, drag-and-drop support, and customizable appearance. The tool requires no installation and runs entirely in the browser.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🚀 LLaVA-Mini | Python
🎯 Primary Use Case:
Efficient image and video understanding with reduced computational cost and memory usage.
✨ Key Features:
• Efficient image, high-resolution image, and video understanding using a single vision token.
• 77% FLOPs reduction compared to previous methods.
• Low-latency responses (40 milliseconds).
📖 Summary:
LLaVA-Mini is a large multimodal model designed for efficient image, high-resolution image, and video understanding. It achieves this efficiency by representing images with only one vision token, significantly reducing computational effort, response latency, and memory usage. The model maintains performance comparable to previous LLaVA versions while offering substantial improvements in efficiency and resource utilization.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Efficient image and video understanding with reduced computational cost and memory usage.
✨ Key Features:
• Efficient image, high-resolution image, and video understanding using a single vision token.
• 77% FLOPs reduction compared to previous methods.
• Low-latency responses (40 milliseconds).
📖 Summary:
LLaVA-Mini is a large multimodal model designed for efficient image, high-resolution image, and video understanding. It achieves this efficiency by representing images with only one vision token, significantly reducing computational effort, response latency, and memory usage. The model maintains performance comparable to previous LLaVA versions while offering substantial improvements in efficiency and resource utilization.
🔗 Links:
• View Project
================
🔓 Open Source
🌟 Days-Left-Reminder | JavaScript
🎯 Primary Use Case:
Providing a daily reminder of the limited time remaining in one's life to encourage more meaningful actions.
✨ Key Features:
• Calculates remaining days based on a target date.
• Sends daily reminders via email.
• Customizable target date and email address.
• Runs as an App Script.
📖 Summary:
The Days-Left-Reminder repository is a JavaScript-based tool designed to provide a daily reminder of the user's remaining days, calculated from a specified target date. It sends daily email notifications to encourage users to focus on meaningful activities and avoid wasting time. The script is intended to be run in App Script and requires customization with the user's email address and target date.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Providing a daily reminder of the limited time remaining in one's life to encourage more meaningful actions.
✨ Key Features:
• Calculates remaining days based on a target date.
• Sends daily reminders via email.
• Customizable target date and email address.
• Runs as an App Script.
📖 Summary:
The Days-Left-Reminder repository is a JavaScript-based tool designed to provide a daily reminder of the user's remaining days, calculated from a specified target date. It sends daily email notifications to encourage users to focus on meaningful activities and avoid wasting time. The script is intended to be run in App Script and requires customization with the user's email address and target date.
🔗 Links:
• View Project
================
🔓 Open Source
✨ videoseal | Python
🎯 Primary Use Case:
Open and efficient video watermarking for protecting video content.
✨ Key Features:
• Image and video watermarking
• Pre-trained models
• Training code
• Inference code
• Evaluation tools
📖 Summary:
The Video Seal repository provides an open and efficient solution for video watermarking. It includes pre-trained models, training and inference code, and evaluation tools for both image and video watermarking. The repository also offers baselines of state-of-the-art image watermarking models adapted for video, enabling users to easily implement and experiment with video watermarking techniques.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Open and efficient video watermarking for protecting video content.
✨ Key Features:
• Image and video watermarking
• Pre-trained models
• Training code
• Inference code
• Evaluation tools
📖 Summary:
The Video Seal repository provides an open and efficient solution for video watermarking. It includes pre-trained models, training and inference code, and evaluation tools for both image and video watermarking. The repository also offers baselines of state-of-the-art image watermarking models adapted for video, enabling users to easily implement and experiment with video watermarking techniques.
🔗 Links:
• View Project
================
🔓 Open Source
💡 mimesis | Python
🎯 Primary Use Case:
Generating fake data for software development, testing, and data science.
✨ Key Features:
• Multilingual support (46 locales)
• Extensible with custom data providers and field handlers
• Easy to use with simple design and clear documentation
• High performance
• Variety of data providers
📖 Summary:
Mimesis is a Python library for generating fake data in various languages. It offers a wide range of data providers, schema-based data generation, and supports custom extensions. Mimesis is designed for ease of use, performance, and multilingual support, making it suitable for testing, development, and data science projects.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Generating fake data for software development, testing, and data science.
✨ Key Features:
• Multilingual support (46 locales)
• Extensible with custom data providers and field handlers
• Easy to use with simple design and clear documentation
• High performance
• Variety of data providers
📖 Summary:
Mimesis is a Python library for generating fake data in various languages. It offers a wide range of data providers, schema-based data generation, and supports custom extensions. Mimesis is designed for ease of use, performance, and multilingual support, making it suitable for testing, development, and data science projects.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
💡 ipspot | Python
🎯 Primary Use Case:
Retrieving the system's IP address (both public and private) and associated geolocation information.
✨ Key Features:
• Retrieves system's public IPv4 address
• Retrieves system's private IPv4 address
• Geolocation information lookup for public IPv4
• Multiple API providers with fallback mechanism for reliability
• CLI tool for quick IP and geolocation lookups
📖 Summary:
IPSpot is a Python library and CLI tool designed to fetch a system's IP address and location information. It supports both public and private IPv4 detection, utilizing multiple API providers for reliability. The tool offers a simple and modular approach to IP and geolocation lookups.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Retrieving the system's IP address (both public and private) and associated geolocation information.
✨ Key Features:
• Retrieves system's public IPv4 address
• Retrieves system's private IPv4 address
• Geolocation information lookup for public IPv4
• Multiple API providers with fallback mechanism for reliability
• CLI tool for quick IP and geolocation lookups
📖 Summary:
IPSpot is a Python library and CLI tool designed to fetch a system's IP address and location information. It supports both public and private IPv4 detection, utilizing multiple API providers for reliability. The tool offers a simple and modular approach to IP and geolocation lookups.
🔗 Links:
• View Project
================
🔓 Open Source
🌟 lrcsnc | Go
🎯 Primary Use Case:
Displaying synced lyrics for songs playing on various music players, primarily designed for use with bars like Waybar.
✨ Key Features:
• Syncing to any player that supports MPRIS
• Romanization for Japanese, Chinese and Korean languages
• Customization and configuration using TOML
• Waybar integration
📖 Summary:
lrcsnc fetches and displays synced lyrics for the currently playing song, synchronized with the song's actual position. It supports various music players through MPRIS, offers romanization for Japanese, Chinese, and Korean languages, and provides customization options via TOML configuration. The tool is designed for integration with bars like Waybar.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Displaying synced lyrics for songs playing on various music players, primarily designed for use with bars like Waybar.
✨ Key Features:
• Syncing to any player that supports MPRIS
• Romanization for Japanese, Chinese and Korean languages
• Customization and configuration using TOML
• Waybar integration
📖 Summary:
lrcsnc fetches and displays synced lyrics for the currently playing song, synchronized with the song's actual position. It supports various music players through MPRIS, offers romanization for Japanese, Chinese, and Korean languages, and provides customization options via TOML configuration. The tool is designed for integration with bars like Waybar.
🔗 Links:
• View Project
================
🔓 Open Source
🚀 deduplicator | Rust
🎯 Primary Use Case:
Finding and removing duplicate files to free up disk space and improve file organization.
✨ Key Features:
• Find duplicate files
• Sort duplicate files
• Filter duplicate files
• Delete duplicate files recursively
• Scan specific file types
📖 Summary:
The Deduplicator repository provides a command-line tool for recursively scanning directories to identify, filter, and delete duplicate files. It offers options to specify file types, minimum file size, directory depth, and interactive deletion, making it a versatile solution for managing disk space.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Finding and removing duplicate files to free up disk space and improve file organization.
✨ Key Features:
• Find duplicate files
• Sort duplicate files
• Filter duplicate files
• Delete duplicate files recursively
• Scan specific file types
📖 Summary:
The Deduplicator repository provides a command-line tool for recursively scanning directories to identify, filter, and delete duplicate files. It offers options to specify file types, minimum file size, directory depth, and interactive deletion, making it a versatile solution for managing disk space.
🔗 Links:
• View Project
================
🔓 Open Source
🌟 freelens | TypeScript
🎯 Primary Use Case:
Managing Kubernetes clusters through a user-friendly interface.
✨ Key Features:
• Kubernetes cluster management
• Standalone application for macOS, Windows, and Linux
• User-friendly interface
📖 Summary:
Freelens is a free, open-source IDE designed to simplify Kubernetes cluster management. It provides a standalone application for macOS, Windows, and Linux, offering an intuitive interface to manage and visualize Kubernetes resources. The primary use case is to provide a user-friendly alternative to the standard Kubernetes dashboard.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Managing Kubernetes clusters through a user-friendly interface.
✨ Key Features:
• Kubernetes cluster management
• Standalone application for macOS, Windows, and Linux
• User-friendly interface
📖 Summary:
Freelens is a free, open-source IDE designed to simplify Kubernetes cluster management. It provides a standalone application for macOS, Windows, and Linux, offering an intuitive interface to manage and visualize Kubernetes resources. The primary use case is to provide a user-friendly alternative to the standard Kubernetes dashboard.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🚀 winutil | PowerShell
🎯 Primary Use Case:
Streamlining Windows system configuration and maintenance.
✨ Key Features:
• Install Programs
• Tweaks
• Fixes
• Updates
📖 Summary:
Winutil is a PowerShell-based utility designed to automate common Windows tasks such as installing programs, applying tweaks, configuring settings, and fixing update issues. It aims to simplify and expedite the process of setting up and maintaining a Windows system by providing a curated collection of scripts and configurations.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Streamlining Windows system configuration and maintenance.
✨ Key Features:
• Install Programs
• Tweaks
• Fixes
• Updates
📖 Summary:
Winutil is a PowerShell-based utility designed to automate common Windows tasks such as installing programs, applying tweaks, configuring settings, and fixing update issues. It aims to simplify and expedite the process of setting up and maintaining a Windows system by providing a curated collection of scripts and configurations.
🔗 Links:
• View Project
================
🔓 Open Source
🌟 Sophia-Script-for-Windows | PowerShell
🎯 Primary Use Case:
Fine-tuning and automating routine tasks on Windows 10 and 11 operating systems.
✨ Key Features:
• Fine-tuning Windows 10 and 11
• Automating routine tasks
• Offers over 150 unique tweaks
• Restoring default settings for each tweak
• Downloadable via PowerShell, Chocolatey, and WinGet
📖 Summary:
Sophia Script for Windows is a PowerShell module designed for fine-tuning Windows 10 and 11. It provides a comprehensive set of over 150 unique tweaks to optimize system performance and automate routine tasks. The module also allows users to restore default settings, ensuring a safe and customizable Windows experience.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Fine-tuning and automating routine tasks on Windows 10 and 11 operating systems.
✨ Key Features:
• Fine-tuning Windows 10 and 11
• Automating routine tasks
• Offers over 150 unique tweaks
• Restoring default settings for each tweak
• Downloadable via PowerShell, Chocolatey, and WinGet
📖 Summary:
Sophia Script for Windows is a PowerShell module designed for fine-tuning Windows 10 and 11. It provides a comprehensive set of over 150 unique tweaks to optimize system performance and automate routine tasks. The module also allows users to restore default settings, ensuring a safe and customizable Windows experience.
🔗 Links:
• View Project
================
🔓 Open Source
🚀 ssh_commander | Python
🎯 Primary Use Case:
Running sequential commands on a group of SSH servers simultaneously.
✨ Key Features:
• Supports password and key-based authentication
• Colorized output
• Execute commands from files
• Interactive server management
• Secure password handling
📖 Summary:
SSH Commander is a command-line tool for executing commands across multiple SSH servers concurrently. It supports password and key-based authentication, YAML configuration, and real-time output streaming. The tool is designed for managing and executing commands on multiple servers efficiently.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Running sequential commands on a group of SSH servers simultaneously.
✨ Key Features:
• Supports password and key-based authentication
• Colorized output
• Execute commands from files
• Interactive server management
• Secure password handling
📖 Summary:
SSH Commander is a command-line tool for executing commands across multiple SSH servers concurrently. It supports password and key-based authentication, YAML configuration, and real-time output streaming. The tool is designed for managing and executing commands on multiple servers efficiently.
🔗 Links:
• View Project
================
🔓 Open Source
🌟 deepfake-audio-detector | Jupyter Notebook
🎯 Primary Use Case:
Detecting whether a voice clip is AI-generated (deepfake) or not.
✨ Key Features:
• Detects AI-generated audio clips
• Supports FLAC and M4A audio formats
• Command-line interface for testing
📖 Summary:
The Deepfake Audio Detector repository provides a tool to classify audio clips of people speaking as either deepfake or non-deepfake using deep learning. It offers a command-line interface for testing audio clips and supports FLAC and M4A audio formats. The primary use case is to identify AI-generated voice clips.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Detecting whether a voice clip is AI-generated (deepfake) or not.
✨ Key Features:
• Detects AI-generated audio clips
• Supports FLAC and M4A audio formats
• Command-line interface for testing
📖 Summary:
The Deepfake Audio Detector repository provides a tool to classify audio clips of people speaking as either deepfake or non-deepfake using deep learning. It offers a command-line interface for testing audio clips and supports FLAC and M4A audio formats. The primary use case is to identify AI-generated voice clips.
🔗 Links:
• View Project
================
🔓 Open Source
🚀 midscene | TypeScript
🎯 Primary Use Case:
AI-powered web and Android automation and testing using natural language instructions.
✨ Key Features:
• Natural Language Interaction for UI Automation
• Web and Android Automation
• MCP Integration
• Visual Reports for Debugging
• Open Source Model Choice (UI-TARS, Qwen2.5-VL)
📖 Summary:
Midscene.js is an AI operator that allows users to automate web and Android tasks by describing them in natural language. It supports UI automation, MCP integration, and provides visual reports for debugging. It also offers a choice of open-source models like UI-TARS and Qwen2.5-VL, in addition to GPT-4o.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
AI-powered web and Android automation and testing using natural language instructions.
✨ Key Features:
• Natural Language Interaction for UI Automation
• Web and Android Automation
• MCP Integration
• Visual Reports for Debugging
• Open Source Model Choice (UI-TARS, Qwen2.5-VL)
📖 Summary:
Midscene.js is an AI operator that allows users to automate web and Android tasks by describing them in natural language. It supports UI automation, MCP integration, and provides visual reports for debugging. It also offers a choice of open-source models like UI-TARS and Qwen2.5-VL, in addition to GPT-4o.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🌟 oha | Rust
🎯 Primary Use Case:
HTTP load testing and benchmarking of web applications.
✨ Key Features:
• HTTP load generation
• Real-time TUI animation
• Inspired by rakyll/hey
• Written in Rust
• Powered by tokio and ratatui
📖 Summary:
Oha is a command-line HTTP load generator written in Rust, inspired by `rakyll/hey`. It provides a real-time terminal user interface (TUI) to visualize the load testing process. Oha supports HTTP/1.1 and HTTP/2 protocols, and can be configured to use either native-tls or rustls for TLS.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
HTTP load testing and benchmarking of web applications.
✨ Key Features:
• HTTP load generation
• Real-time TUI animation
• Inspired by rakyll/hey
• Written in Rust
• Powered by tokio and ratatui
📖 Summary:
Oha is a command-line HTTP load generator written in Rust, inspired by `rakyll/hey`. It provides a real-time terminal user interface (TUI) to visualize the load testing process. Oha supports HTTP/1.1 and HTTP/2 protocols, and can be configured to use either native-tls or rustls for TLS.
🔗 Links:
• View Project
================
🔓 Open Source
✨ iconoir | TypeScript
🎯 Primary Use Case:
Providing a comprehensive library of open-source icons for use in various software development projects and design tools.
✨ Key Features:
• 1600+ open-source SVG icons
• Support for React, React Native, Flutter, Vue
• Integration with Figma and Framer
• Available as NPM package
• CSS stylesheet included
📖 Summary:
Iconoir is an open-source icon library offering over 1600 unique SVG icons designed on a 24x24 grid. It supports popular frameworks and platforms like React, React Native, Flutter, and Vue, and integrates seamlessly with design tools such as Figma and Framer, making it a versatile resource for developers and designers.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Providing a comprehensive library of open-source icons for use in various software development projects and design tools.
✨ Key Features:
• 1600+ open-source SVG icons
• Support for React, React Native, Flutter, Vue
• Integration with Figma and Framer
• Available as NPM package
• CSS stylesheet included
📖 Summary:
Iconoir is an open-source icon library offering over 1600 unique SVG icons designed on a 24x24 grid. It supports popular frameworks and platforms like React, React Native, Flutter, and Vue, and integrates seamlessly with design tools such as Figma and Framer, making it a versatile resource for developers and designers.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source