🚀 curlsapp | Swift
🎯 Primary Use Case:
Privacy-first iOS workout logging app.
✨ Key Features:
• Workout Logging
• Exercise Database (800+ exercises)
• Custom Exercises
• Workout History & Analytics
• Template System
📖 Summary:
Curls App is a privacy-focused iOS application for logging workouts. It features a comprehensive exercise database, custom exercise creation, workout history and analytics, and a template system for reusable routines. The app prioritizes user privacy by operating entirely offline, storing data locally, and avoiding analytics or account requirements.
🔗 Links:
• View Project
• Homepage
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🔓 Open Source
🎯 Primary Use Case:
Privacy-first iOS workout logging app.
✨ Key Features:
• Workout Logging
• Exercise Database (800+ exercises)
• Custom Exercises
• Workout History & Analytics
• Template System
📖 Summary:
Curls App is a privacy-focused iOS application for logging workouts. It features a comprehensive exercise database, custom exercise creation, workout history and analytics, and a template system for reusable routines. The app prioritizes user privacy by operating entirely offline, storing data locally, and avoiding analytics or account requirements.
🔗 Links:
• View Project
• Homepage
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🔓 Open Source
🚀 LiYing | Python
🎯 Primary Use Case:
Automating ID photo post-processing for photo studios.
✨ Key Features:
• Automatic human/face recognition
• Automatic angle correction
• Automatic background replacement
• Automatic ID photo cropping to various sizes
• Automatic photo layout/arrangement
📖 Summary:
LiYing is a Python program designed to automate the post-processing workflow for ID photos, typically used in photo studios. It features automatic human and face recognition, angle correction, background replacement, ID photo cropping to various sizes, and automatic photo layout. The program can be run offline, with all image processing done locally.
🔗 Links:
• View Project
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🔓 Open Source
🎯 Primary Use Case:
Automating ID photo post-processing for photo studios.
✨ Key Features:
• Automatic human/face recognition
• Automatic angle correction
• Automatic background replacement
• Automatic ID photo cropping to various sizes
• Automatic photo layout/arrangement
📖 Summary:
LiYing is a Python program designed to automate the post-processing workflow for ID photos, typically used in photo studios. It features automatic human and face recognition, angle correction, background replacement, ID photo cropping to various sizes, and automatic photo layout. The program can be run offline, with all image processing done locally.
🔗 Links:
• View Project
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🔓 Open Source
❤1
✨ blinko | TypeScript
🎯 Primary Use Case:
Quickly capturing and organizing fleeting thoughts and ideas in a private, self-hosted environment.
✨ Key Features:
• AI-Enhanced Note Retrieval using RAG
• Self-hosted data for privacy
• Efficient and Fast note capture with Markdown support
• Lightweight architecture with multi-platform support (Tauri)
• Open for Collaboration
📖 Summary:
Blinko is an open-source, self-hosted personal AI note tool that prioritizes privacy. It allows users to quickly capture and organize their thoughts with AI-enhanced retrieval using RAG, ensuring efficient access to information while maintaining complete control over their data. Blinko supports Markdown and offers multi-platform support via Tauri.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Quickly capturing and organizing fleeting thoughts and ideas in a private, self-hosted environment.
✨ Key Features:
• AI-Enhanced Note Retrieval using RAG
• Self-hosted data for privacy
• Efficient and Fast note capture with Markdown support
• Lightweight architecture with multi-platform support (Tauri)
• Open for Collaboration
📖 Summary:
Blinko is an open-source, self-hosted personal AI note tool that prioritizes privacy. It allows users to quickly capture and organize their thoughts with AI-enhanced retrieval using RAG, ensuring efficient access to information while maintaining complete control over their data. Blinko supports Markdown and offers multi-platform support via Tauri.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
❤1
🔥 mcp | TypeScript
🎯 Primary Use Case:
Providing tools to scrape, extract structured data, and crawl webpages, along with access to browser agents.
✨ Key Features:
• Scraping webpages
• Crawling webpages
• Extracting structured data
• Searching with Bing
• Browser automation with Browser Use agent
📖 Summary:
The Hyperbrowser MCP Server provides tools for scraping, crawling, and extracting structured data from web pages. It also offers access to general-purpose browser agents like OpenAI's CUA, Anthropic's Claude Computer Use, and Browser Use. The server supports profile management for persistent configurations.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Providing tools to scrape, extract structured data, and crawl webpages, along with access to browser agents.
✨ Key Features:
• Scraping webpages
• Crawling webpages
• Extracting structured data
• Searching with Bing
• Browser automation with Browser Use agent
📖 Summary:
The Hyperbrowser MCP Server provides tools for scraping, crawling, and extracting structured data from web pages. It also offers access to general-purpose browser agents like OpenAI's CUA, Anthropic's Claude Computer Use, and Browser Use. The server supports profile management for persistent configurations.
🔗 Links:
• View Project
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🔓 Open Source
✨ linutil | Shell
🎯 Primary Use Case:
Simplifying and automating common Linux system administration and application setup tasks.
✨ Key Features:
• Distro-agnostic
• Simplifies Linux tasks
• Application setup
• System optimization
• Configuration via TOML
📖 Summary:
Linutil is a distro-agnostic toolbox designed to simplify everyday Linux tasks, including application setup and system optimization. It offers a command-line interface with configuration options via TOML files and is available through various package repositories like AUR, OpenSUSE, and Cargo, making it easily accessible for a wide range of Linux users.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Simplifying and automating common Linux system administration and application setup tasks.
✨ Key Features:
• Distro-agnostic
• Simplifies Linux tasks
• Application setup
• System optimization
• Configuration via TOML
📖 Summary:
Linutil is a distro-agnostic toolbox designed to simplify everyday Linux tasks, including application setup and system optimization. It offers a command-line interface with configuration options via TOML files and is available through various package repositories like AUR, OpenSUSE, and Cargo, making it easily accessible for a wide range of Linux users.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
❤1
🚀 dnSurfer | JavaScript
🎯 Primary Use Case:
Bypassing network restrictions and captive portals by surfing the web using DNS queries.
✨ Key Features:
• Text-only web browser operating entirely over DNS
• Client-server architecture using DNS queries for web content
📖 Summary:
dnSurfer is a proof-of-concept web browser that operates entirely over DNS, enabling text-only browsing by converting DNS queries into web content. It uses a client-server architecture with a custom DNS server and an Electron-based desktop application. The primary use case is to bypass network restrictions and captive portals.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Bypassing network restrictions and captive portals by surfing the web using DNS queries.
✨ Key Features:
• Text-only web browser operating entirely over DNS
• Client-server architecture using DNS queries for web content
📖 Summary:
dnSurfer is a proof-of-concept web browser that operates entirely over DNS, enabling text-only browsing by converting DNS queries into web content. It uses a client-server architecture with a custom DNS server and an Electron-based desktop application. The primary use case is to bypass network restrictions and captive portals.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🚀 iOS-OCR-Server | Swift
🎯 Primary Use Case:
Local OCR without cloud services
✨ Key Features:
• High-precision OCR powered by Apple’s Vision Framework
• Supports multiple languages with automatic detection
• Upload via web interface and receive OCR results within seconds
• JSON API for easy integration into apps
• 100% local processing, no cloud, full privacy
📖 Summary:
This repository provides a local OCR server using Apple's Vision Framework, enabling text recognition on images without cloud dependencies. It features a JSON API for easy integration and supports multiple languages, ensuring complete privacy and unlimited usage.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Local OCR without cloud services
✨ Key Features:
• High-precision OCR powered by Apple’s Vision Framework
• Supports multiple languages with automatic detection
• Upload via web interface and receive OCR results within seconds
• JSON API for easy integration into apps
• 100% local processing, no cloud, full privacy
📖 Summary:
This repository provides a local OCR server using Apple's Vision Framework, enabling text recognition on images without cloud dependencies. It features a JSON API for easy integration and supports multiple languages, ensuring complete privacy and unlimited usage.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🌟 comfyui-lumi-batcher | TypeScript
🎯 Primary Use Case:
Enhancing AIGC creation efficiency through batch processing and parameter testing in ComfyUI.
✨ Key Features:
• Batch processing of ComfyUI workflows
• Flexible parameter grouping and cross-testing
• Visual result management with multi-dimensional grids
• Support for text, image, and video creation workflows
📖 Summary:
ComfyUI Lumi Batcher is a batch processing extension for ComfyUI that improves workflow debugging and AIGC creation efficiency. It allows users to cross-test any workflow parameter, combine parameters creatively, and visually manage results in multi-dimensional grids. The extension supports text, image, and video creation workflows and offers an intuitive interface for easy adoption.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Enhancing AIGC creation efficiency through batch processing and parameter testing in ComfyUI.
✨ Key Features:
• Batch processing of ComfyUI workflows
• Flexible parameter grouping and cross-testing
• Visual result management with multi-dimensional grids
• Support for text, image, and video creation workflows
📖 Summary:
ComfyUI Lumi Batcher is a batch processing extension for ComfyUI that improves workflow debugging and AIGC creation efficiency. It allows users to cross-test any workflow parameter, combine parameters creatively, and visually manage results in multi-dimensional grids. The extension supports text, image, and video creation workflows and offers an intuitive interface for easy adoption.
🔗 Links:
• View Project
================
🔓 Open Source
✨ vago | Go
🎯 Primary Use Case:
Provides a comprehensive toolkit for Go developers to enhance productivity and code quality with a variety of utilities and modules.
✨ Key Features:
• Generic utilities for slices and maps
• Functional programming primitives
• Stream processing
• Database access and management
• Modular design with isolated dependencies
📖 Summary:
Vago is a Go toolkit offering a wide range of utilities for slices, maps, functional programming, streams, and databases. It emphasizes modularity through Go workspaces, ensuring lightweight imports and faster builds by isolating dependencies for each module. This allows developers to use only the necessary components without unnecessary bloat.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Provides a comprehensive toolkit for Go developers to enhance productivity and code quality with a variety of utilities and modules.
✨ Key Features:
• Generic utilities for slices and maps
• Functional programming primitives
• Stream processing
• Database access and management
• Modular design with isolated dependencies
📖 Summary:
Vago is a Go toolkit offering a wide range of utilities for slices, maps, functional programming, streams, and databases. It emphasizes modularity through Go workspaces, ensuring lightweight imports and faster builds by isolating dependencies for each module. This allows developers to use only the necessary components without unnecessary bloat.
🔗 Links:
• View Project
================
🔓 Open Source
🔥 wealth-tracker | Svelte
🎯 Primary Use Case:
Personal asset tracking and analysis
✨ Key Features:
• Easy-to-use interface
• Data visualization
• Local deployment
• Open-source code
• Multi-language support
📖 Summary:
Wealth Tracker is a personal finance application designed to comprehensively record and display a user's asset status, providing a clear understanding of their financial situation. It leverages AI to offer tailored financial advice based on asset characteristics and current market conditions. The application aims to simplify personal asset management and reveal overall wealth trends through an intuitive user interface.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Personal asset tracking and analysis
✨ Key Features:
• Easy-to-use interface
• Data visualization
• Local deployment
• Open-source code
• Multi-language support
📖 Summary:
Wealth Tracker is a personal finance application designed to comprehensively record and display a user's asset status, providing a clear understanding of their financial situation. It leverages AI to offer tailored financial advice based on asset characteristics and current market conditions. The application aims to simplify personal asset management and reveal overall wealth trends through an intuitive user interface.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🌟 NetSonar | C#
🎯 Primary Use Case:
Network diagnostics and analysis for administrators and developers.
✨ Key Features:
• Network Pings (ICMP/TCP/UDP/HTTP)
• Interface Management
• Cross-Platform Compatibility
• Modern UI
• Charts and Visualizations
📖 Summary:
NetSonar is a network diagnostics tool written in C# that allows users to perform network pings, manage network interfaces, and discover local devices/services. It offers features like multi-protocol latency checks, subnet scanning, port/service detection, and real-time interface configuration, making it suitable for administrators and developers needing lightweight, cross-platform network analysis.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Network diagnostics and analysis for administrators and developers.
✨ Key Features:
• Network Pings (ICMP/TCP/UDP/HTTP)
• Interface Management
• Cross-Platform Compatibility
• Modern UI
• Charts and Visualizations
📖 Summary:
NetSonar is a network diagnostics tool written in C# that allows users to perform network pings, manage network interfaces, and discover local devices/services. It offers features like multi-protocol latency checks, subnet scanning, port/service detection, and real-time interface configuration, making it suitable for administrators and developers needing lightweight, cross-platform network analysis.
🔗 Links:
• View Project
================
🔓 Open Source
💡 muvera-py | Python
🎯 Primary Use Case:
Efficiently searching through billions of documents represented by hundreds of vectors, as in ColBERT-style models.
✨ Key Features:
• Transforms multiple vectors into a single fixed-size vector.
• Preserves similarity relationships between multi-vector sets.
📖 Summary:
This repository provides a Python implementation of the MUVERA algorithm, which uses Fixed-Dimensional Encoding (FDE) to transform multiple vectors into a single fixed-size vector. This allows for efficient similarity searches in large datasets where documents are represented by multiple vectors, preserving the relationships between them.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Efficiently searching through billions of documents represented by hundreds of vectors, as in ColBERT-style models.
✨ Key Features:
• Transforms multiple vectors into a single fixed-size vector.
• Preserves similarity relationships between multi-vector sets.
📖 Summary:
This repository provides a Python implementation of the MUVERA algorithm, which uses Fixed-Dimensional Encoding (FDE) to transform multiple vectors into a single fixed-size vector. This allows for efficient similarity searches in large datasets where documents are represented by multiple vectors, preserving the relationships between them.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🔥 lyricScribe | Go
🎯 Primary Use Case:
Fetching and displaying synced lyrics for music played through MPRIS compatible players.
✨ Key Features:
• Downloads synced lyrics
• Checks lyrics
• Displays synced lyrics for MPRIS compatible players
• Configuration options
• Hyprland floating lyrics support
📖 Summary:
lyricScribe is a Go script designed to fetch, check, and display synchronized lyrics for songs played using MPRIS-compatible music players. It allows users to easily view lyrics in sync with their music, and offers configuration options, including specific support for floating lyrics on Hyprland.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Fetching and displaying synced lyrics for music played through MPRIS compatible players.
✨ Key Features:
• Downloads synced lyrics
• Checks lyrics
• Displays synced lyrics for MPRIS compatible players
• Configuration options
• Hyprland floating lyrics support
📖 Summary:
lyricScribe is a Go script designed to fetch, check, and display synchronized lyrics for songs played using MPRIS-compatible music players. It allows users to easily view lyrics in sync with their music, and offers configuration options, including specific support for floating lyrics on Hyprland.
🔗 Links:
• View Project
================
🔓 Open Source
🔥 spill | C++
🎯 Primary Use Case:
Transient clipboard server for Windows
✨ Key Features:
• Runs locally or on an external host (HTTP or HTTPS)
• Fully transient data storage
• Unicode support
• Minimize to tray
📖 Summary:
Spill is a transient clipboard server for Windows that allows users to copy and paste data between different machines. It supports both local and remote access via HTTP or HTTPS, and ensures that no data is permanently stored. The application also offers Unicode support and the ability to minimize to the system tray.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Transient clipboard server for Windows
✨ Key Features:
• Runs locally or on an external host (HTTP or HTTPS)
• Fully transient data storage
• Unicode support
• Minimize to tray
📖 Summary:
Spill is a transient clipboard server for Windows that allows users to copy and paste data between different machines. It supports both local and remote access via HTTP or HTTPS, and ensures that no data is permanently stored. The application also offers Unicode support and the ability to minimize to the system tray.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
💡 protector | Python
🎯 Primary Use Case:
Real-time privacy protection for smart glasses applications.
✨ Key Features:
• Anonymizes faces (blur or ellipse masking)
• Manages consent (detects verbal consent)
• Real-time processing (720p 30fps)
• 100% offline operation
• Recording
📖 Summary:
The 'protector' repository provides real-time privacy protection for smart glasses by filtering camera feeds. It anonymizes faces, manages consent through voice detection, and operates offline. The system offers developer-friendly features like easy camera replacement and an HTTP API for control, making it suitable for AI assistants, social apps, and enterprise applications.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Real-time privacy protection for smart glasses applications.
✨ Key Features:
• Anonymizes faces (blur or ellipse masking)
• Manages consent (detects verbal consent)
• Real-time processing (720p 30fps)
• 100% offline operation
• Recording
📖 Summary:
The 'protector' repository provides real-time privacy protection for smart glasses by filtering camera feeds. It anonymizes faces, manages consent through voice detection, and operates offline. The system offers developer-friendly features like easy camera replacement and an HTTP API for control, making it suitable for AI assistants, social apps, and enterprise applications.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
❤1
✨ wlgblock | C
🎯 Primary Use Case:
Replacing the standard Wayland password screen with a Gameboy emulator running a custom Pokémon game, requiring the user to solve a puzzle within the game to unlock their session.
✨ Key Features:
• Replaces password screen with a Gameboy emulator.
• Uses a patched Pokémon game as a session unlock mechanism.
📖 Summary:
The wlgblock repository provides a unique way to lock and unlock a Wayland session by using a Gameboy emulator as a locker. It replaces the traditional password screen with a custom Pokémon game, where the user must solve a puzzle to unlock their session. The project leverages the ext-session-lock-v1 protocol for secure locking and involves patching both a Gameboy emulator and a Pokémon game to achieve this functionality.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Replacing the standard Wayland password screen with a Gameboy emulator running a custom Pokémon game, requiring the user to solve a puzzle within the game to unlock their session.
✨ Key Features:
• Replaces password screen with a Gameboy emulator.
• Uses a patched Pokémon game as a session unlock mechanism.
📖 Summary:
The wlgblock repository provides a unique way to lock and unlock a Wayland session by using a Gameboy emulator as a locker. It replaces the traditional password screen with a custom Pokémon game, where the user must solve a puzzle to unlock their session. The project leverages the ext-session-lock-v1 protocol for secure locking and involves patching both a Gameboy emulator and a Pokémon game to achieve this functionality.
🔗 Links:
• View Project
================
🔓 Open Source
💡 feroxbuster | Rust
🎯 Primary Use Case:
Content discovery and enumeration of hidden or unlinked resources on web servers.
✨ Key Features:
• Fast content discovery
• Recursive directory enumeration
• Forced browsing
• Wordlist-based scanning
📖 Summary:
Feroxbuster is a content discovery tool written in Rust that performs forced browsing to identify unlinked resources on web applications. It uses brute force combined with a wordlist to recursively search for hidden files and directories, helping to uncover sensitive information and potential vulnerabilities.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Content discovery and enumeration of hidden or unlinked resources on web servers.
✨ Key Features:
• Fast content discovery
• Recursive directory enumeration
• Forced browsing
• Wordlist-based scanning
📖 Summary:
Feroxbuster is a content discovery tool written in Rust that performs forced browsing to identify unlinked resources on web applications. It uses brute force combined with a wordlist to recursively search for hidden files and directories, helping to uncover sensitive information and potential vulnerabilities.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🚀 urlhunter | Go
🎯 Primary Use Case:
Reconnaissance and intelligence gathering, particularly for bug bounty hunting and cyber threat intelligence.
✨ Key Features:
• Searches for URLs exposed via shortener services.
• Analyzes URLTeam's collections of brute-forced URLs.
• Supports keyword-based searching with single, multiple (AND logic), and regex options.
• Allows specifying date ranges for archive analysis.
📖 Summary:
urlhunter is a Go-based reconnaissance tool designed to discover URLs exposed through shortener services. It leverages the URLTeam's archive of brute-forced URLs, allowing users to search for specific keywords or regular expressions within specified date ranges. The tool is useful for security researchers and bug bounty hunters seeking to uncover hidden or sensitive information.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Reconnaissance and intelligence gathering, particularly for bug bounty hunting and cyber threat intelligence.
✨ Key Features:
• Searches for URLs exposed via shortener services.
• Analyzes URLTeam's collections of brute-forced URLs.
• Supports keyword-based searching with single, multiple (AND logic), and regex options.
• Allows specifying date ranges for archive analysis.
📖 Summary:
urlhunter is a Go-based reconnaissance tool designed to discover URLs exposed through shortener services. It leverages the URLTeam's archive of brute-forced URLs, allowing users to search for specific keywords or regular expressions within specified date ranges. The tool is useful for security researchers and bug bounty hunters seeking to uncover hidden or sensitive information.
🔗 Links:
• View Project
================
🔓 Open Source
🔥 arkime | JavaScript
🎯 Primary Use Case:
Network analysis and security monitoring through full packet capture and indexing.
✨ Key Features:
• Full packet capture and storage in PCAP format
• Indexed access to network traffic
• Web interface for browsing, searching, and exporting PCAPs
• APIs for downloading PCAP data and JSON session data
• Scalable architecture for handling high traffic volumes
📖 Summary:
Arkime is an open-source network analysis tool that captures and indexes network traffic for security monitoring and analysis. It stores data in standard PCAP format, provides a web interface for browsing and searching, and offers APIs for programmatic access. Arkime is designed to scale to handle large network environments.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Network analysis and security monitoring through full packet capture and indexing.
✨ Key Features:
• Full packet capture and storage in PCAP format
• Indexed access to network traffic
• Web interface for browsing, searching, and exporting PCAPs
• APIs for downloading PCAP data and JSON session data
• Scalable architecture for handling high traffic volumes
📖 Summary:
Arkime is an open-source network analysis tool that captures and indexes network traffic for security monitoring and analysis. It stores data in standard PCAP format, provides a web interface for browsing and searching, and offers APIs for programmatic access. Arkime is designed to scale to handle large network environments.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🔥 tolgee-platform | TypeScript
🎯 Primary Use Case:
Web-based localization platform for developers and translators.
✨ Key Features:
• In-context translation
• One-click screenshots for translation
• Translation directly on production environments
• True integrations via SDKs
📖 Summary:
Tolgee is an open-source localization platform designed to streamline the translation process for developers and translators. It offers features like in-context translation, one-click screenshots, and production environment translation capabilities. Tolgee integrates seamlessly into applications through powerful SDKs, providing a truly embedded translation experience.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Web-based localization platform for developers and translators.
✨ Key Features:
• In-context translation
• One-click screenshots for translation
• Translation directly on production environments
• True integrations via SDKs
📖 Summary:
Tolgee is an open-source localization platform designed to streamline the translation process for developers and translators. It offers features like in-context translation, one-click screenshots, and production environment translation capabilities. Tolgee integrates seamlessly into applications through powerful SDKs, providing a truly embedded translation experience.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source