💡 RelateAnything | Python
🎯 Primary Use Case:
Predicting relationships between objects in images or video frames using flexible, user-defined vocabularies and without relying on predefined object class labels.
✨ Key Features:
• Real-time open-vocabulary relation prediction
• Predicate vocabulary supplied at inference (no retraining needed)
📖 Summary:
RelateAnything is a Python library for real-time, open-vocabulary relation prediction from any input. It allows users to define custom relation predicates at inference time without retraining, and it does not require object class labels, making it highly flexible. The model can output ranked lists of relations, or both spatial and semantic graphs simultaneously.
🔗 Links:
• View Project
• Homepage
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🔓 Open Source
🎯 Primary Use Case:
Predicting relationships between objects in images or video frames using flexible, user-defined vocabularies and without relying on predefined object class labels.
✨ Key Features:
• Real-time open-vocabulary relation prediction
• Predicate vocabulary supplied at inference (no retraining needed)
📖 Summary:
RelateAnything is a Python library for real-time, open-vocabulary relation prediction from any input. It allows users to define custom relation predicates at inference time without retraining, and it does not require object class labels, making it highly flexible. The model can output ranked lists of relations, or both spatial and semantic graphs simultaneously.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
👏1
✨ openGym | JavaScript
🎯 Primary Use Case:
To provide users with a private, self-hosted fitness tracking solution that gives them full control over their workout data and progress.
✨ Key Features:
• Self-hosted fitness tracker
• Body-weight tracking with interactive charts
• Workout logging (supersets, warm-ups, cardio)
📖 Summary:
openGym is a self-hosted, progressive web application for tracking gym workouts and body weight. It allows users to plan routines, log sets, supersets, warm-ups, and cardio, while also visualizing muscle fatigue and training progress. The application emphasizes data ownership and privacy, offering features like passkey login and import capabilities from other fitness apps.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To provide users with a private, self-hosted fitness tracking solution that gives them full control over their workout data and progress.
✨ Key Features:
• Self-hosted fitness tracker
• Body-weight tracking with interactive charts
• Workout logging (supersets, warm-ups, cardio)
📖 Summary:
openGym is a self-hosted, progressive web application for tracking gym workouts and body weight. It allows users to plan routines, log sets, supersets, warm-ups, and cardio, while also visualizing muscle fatigue and training progress. The application emphasizes data ownership and privacy, offering features like passkey login and import capabilities from other fitness apps.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🚀 Thingport | TypeScript
🎯 Primary Use Case:
Centralizing and managing a personal collection of 3D models from multiple online sources.
✨ Key Features:
• Personal model library
• Import from model websites
• Search & organize
• 3D previews
• Archive your models
📖 Summary:
Thingport is a self-hosted web application designed to help 3D printing enthusiasts collect, organize, preview, and manage their 3D models from various online platforms. It provides a centralized library to prevent collections from becoming disorganized.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Centralizing and managing a personal collection of 3D models from multiple online sources.
✨ Key Features:
• Personal model library
• Import from model websites
• Search & organize
• 3D previews
• Archive your models
📖 Summary:
Thingport is a self-hosted web application designed to help 3D printing enthusiasts collect, organize, preview, and manage their 3D models from various online platforms. It provides a centralized library to prevent collections from becoming disorganized.
🔗 Links:
• View Project
================
🔓 Open Source
✨ maxun | TypeScript
🎯 Primary Use Case:
To enable users to extract, automate, search, and monitor data from any website by converting it into a structured API.
✨ Key Features:
• Real-time web scraping
• Web crawling
• Web search
• Website monitoring
• AI data extraction
📖 Summary:
Maxun is an open-source web data platform designed for real-time web scraping, crawling, search, monitoring, and AI-driven data extraction. It allows users to transform any website into a structured API, enabling automation and efficient data retrieval.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To enable users to extract, automate, search, and monitor data from any website by converting it into a structured API.
✨ Key Features:
• Real-time web scraping
• Web crawling
• Web search
• Website monitoring
• AI data extraction
📖 Summary:
Maxun is an open-source web data platform designed for real-time web scraping, crawling, search, monitoring, and AI-driven data extraction. It allows users to transform any website into a structured API, enabling automation and efficient data retrieval.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🌟 portracker | JavaScript
🎯 Primary Use Case:
Real-time network port and service discovery and monitoring for self-hosted environments.
✨ Key Features:
• Automatic Port Discovery
• Platform-Specific Collectors (Docker, TrueNAS)
• Internal Port Detection
• Lightweight & Self-Contained (SQLite)
• Peer-to-Peer Monitoring
📖 Summary:
Portracker is an open-source, self-hosted tool that automatically discovers and monitors network ports and services across your systems. It provides a real-time, accurate map of your network, preventing manual tracking and deployment issues.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Real-time network port and service discovery and monitoring for self-hosted environments.
✨ Key Features:
• Automatic Port Discovery
• Platform-Specific Collectors (Docker, TrueNAS)
• Internal Port Detection
• Lightweight & Self-Contained (SQLite)
• Peer-to-Peer Monitoring
📖 Summary:
Portracker is an open-source, self-hosted tool that automatically discovers and monitors network ports and services across your systems. It provides a real-time, accurate map of your network, preventing manual tracking and deployment issues.
🔗 Links:
• View Project
================
🔓 Open Source
✨ MangoDisk | Rust
🎯 Primary Use Case:
To help users free up disk space and understand their storage usage on macOS and Windows through a comprehensive and safe cleaning and analysis tool.
✨ Key Features:
• Deep Cleanup (System, App Caches, Browser Data, Developer Tools, Containers, AI Models)
• Large File Cleanup
• Duplicate File Cleanup
• Disk Space Analysis (Treemap visualization)
• Privacy Cleanup (Browsing history, cookies, etc.)
📖 Summary:
MangoDisk is a cross-platform desktop application for macOS and Windows designed to clean up disk space and analyze storage usage. It offers features like deep cleanup of system and application caches, large file identification, duplicate file removal, and privacy data clearing.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To help users free up disk space and understand their storage usage on macOS and Windows through a comprehensive and safe cleaning and analysis tool.
✨ Key Features:
• Deep Cleanup (System, App Caches, Browser Data, Developer Tools, Containers, AI Models)
• Large File Cleanup
• Duplicate File Cleanup
• Disk Space Analysis (Treemap visualization)
• Privacy Cleanup (Browsing history, cookies, etc.)
📖 Summary:
MangoDisk is a cross-platform desktop application for macOS and Windows designed to clean up disk space and analyze storage usage. It offers features like deep cleanup of system and application caches, large file identification, duplicate file removal, and privacy data clearing.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
💡 openscad | C++
🎯 Primary Use Case:
Creating precise, parametric 3D models for technical and mechanical purposes through a code-like scripting interface.
✨ Key Features:
• Script-based 3D modeling
• Constructive Solid Geometry (CSG)
• Extrusion of 2D outlines (DXF support)
• Parametric design capabilities
• Exports to STL and OFF formats
📖 Summary:
OpenSCAD is a free software for creating solid 3D CAD objects using a script-based approach. It functions as a 3D compiler, reading script files to render models, making it ideal for machine parts and parametric designs.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Creating precise, parametric 3D models for technical and mechanical purposes through a code-like scripting interface.
✨ Key Features:
• Script-based 3D modeling
• Constructive Solid Geometry (CSG)
• Extrusion of 2D outlines (DXF support)
• Parametric design capabilities
• Exports to STL and OFF formats
📖 Summary:
OpenSCAD is a free software for creating solid 3D CAD objects using a script-based approach. It functions as a 3D compiler, reading script files to render models, making it ideal for machine parts and parametric designs.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🚀 CodeFormer | Python
🎯 Primary Use Case:
Restoring and enhancing the quality of degraded or low-resolution facial images.
✨ Key Features:
• Robust blind face restoration
• Codebook Lookup Transformer architecture
• Supports various degradation types (low resolution, noise, artifacts)
• Face inpainting and colorization capabilities
• Integration with Hugging Face, Replicate, and OpenXLab for demos
📖 Summary:
CodeFormer is a PyTorch-based framework for robust blind face restoration, utilizing a Codebook Lookup Transformer. It excels at enhancing degraded facial images, including those with low resolution, noise, or artifacts, and also supports inpainting and colorization tasks.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Restoring and enhancing the quality of degraded or low-resolution facial images.
✨ Key Features:
• Robust blind face restoration
• Codebook Lookup Transformer architecture
• Supports various degradation types (low resolution, noise, artifacts)
• Face inpainting and colorization capabilities
• Integration with Hugging Face, Replicate, and OpenXLab for demos
📖 Summary:
CodeFormer is a PyTorch-based framework for robust blind face restoration, utilizing a Codebook Lookup Transformer. It excels at enhancing degraded facial images, including those with low resolution, noise, or artifacts, and also supports inpainting and colorization tasks.
🔗 Links:
• View Project
================
🔓 Open Source
💡 brainapi2 | Python
🎯 Primary Use Case:
To build an intelligent, queryable knowledge base from raw text data, enabling AI agents and applications to access contextually rich information with traceable reasoning.
✨ Key Features:
• Knowledge graph construction from unstructured text
• Event-centric data capture (who, what, when, where, context)
• Intelligent search and question answering with traceable paths
📖 Summary:
BrainAPI is a Python-based AI memory layer that transforms unstructured text into a structured, event-centric knowledge graph. It enables intelligent search, recommendations, and contextual memory for AI applications by capturing detailed event information like who, what, when, and where.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To build an intelligent, queryable knowledge base from raw text data, enabling AI agents and applications to access contextually rich information with traceable reasoning.
✨ Key Features:
• Knowledge graph construction from unstructured text
• Event-centric data capture (who, what, when, where, context)
• Intelligent search and question answering with traceable paths
📖 Summary:
BrainAPI is a Python-based AI memory layer that transforms unstructured text into a structured, event-centric knowledge graph. It enables intelligent search, recommendations, and contextual memory for AI applications by capturing detailed event information like who, what, when, and where.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
✨ plain-app | Kotlin
🎯 Primary Use Case:
Securely managing and accessing an Android phone's data and features through a web browser without relying on cloud services.
✨ Key Features:
• Web-based phone management (files, media, contacts, SMS, apps, notifications, screen mirroring)
• 100% local and end-to-end encrypted
• No accounts, cloud, or subscriptions required
📖 Summary:
PlainApp is an open-source Android application that provides a secure, self-hosted web interface for managing your phone's files, media, contacts, SMS, and more from any device on the same network. It prioritizes privacy with end-to-end encryption and no cloud dependency, while also offering built-in Android tools like a note-taker and RSS reader.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Securely managing and accessing an Android phone's data and features through a web browser without relying on cloud services.
✨ Key Features:
• Web-based phone management (files, media, contacts, SMS, apps, notifications, screen mirroring)
• 100% local and end-to-end encrypted
• No accounts, cloud, or subscriptions required
📖 Summary:
PlainApp is an open-source Android application that provides a secure, self-hosted web interface for managing your phone's files, media, contacts, SMS, and more from any device on the same network. It prioritizes privacy with end-to-end encryption and no cloud dependency, while also offering built-in Android tools like a note-taker and RSS reader.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
💡 speakr | Python
🎯 Primary Use Case:
Transcribing and organizing audio recordings for personal or group use, with a focus on privacy and intelligent note-taking.
✨ Key Features:
• Flexible audio input (microphone, system audio, file uploads)
• Long recording sessions with streaming to server
• Hands-off intake via watched folder
• Multiple ASR engine support (WhisperX, OpenAI, Mistral, etc.)
• Speaker diarization and voice profile recognition
📖 Summary:
Speakr is a self-hosted web application for transcribing audio recordings into searchable and organized notes. It prioritizes privacy by running entirely on user infrastructure and offers advanced features like speaker diarization and custom vocabulary.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Transcribing and organizing audio recordings for personal or group use, with a focus on privacy and intelligent note-taking.
✨ Key Features:
• Flexible audio input (microphone, system audio, file uploads)
• Long recording sessions with streaming to server
• Hands-off intake via watched folder
• Multiple ASR engine support (WhisperX, OpenAI, Mistral, etc.)
• Speaker diarization and voice profile recognition
📖 Summary:
Speakr is a self-hosted web application for transcribing audio recordings into searchable and organized notes. It prioritizes privacy by running entirely on user infrastructure and offers advanced features like speaker diarization and custom vocabulary.
🔗 Links:
• View Project
================
🔓 Open Source
🚀 OpenStock | TypeScript
🎯 Primary Use Case:
Tracking stock market prices and company information with customizable alerts.
✨ Key Features:
• Real-time price tracking
• Personalized alerts
• Detailed company insights
• Open-source and free
📖 Summary:
OpenStock is an open-source platform providing real-time stock market data, personalized alerts, and company insights. It aims to be a free and accessible alternative to expensive market data services.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Tracking stock market prices and company information with customizable alerts.
✨ Key Features:
• Real-time price tracking
• Personalized alerts
• Detailed company insights
• Open-source and free
📖 Summary:
OpenStock is an open-source platform providing real-time stock market data, personalized alerts, and company insights. It aims to be a free and accessible alternative to expensive market data services.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🔥 ESP-Drone | C
🎯 Primary Use Case:
Building and controlling a customizable DIY drone using the ESP32 microcontroller, suitable for hobbyists and developers looking to experiment with drone technology.
✨ Key Features:
• ESP32 and MPU6050 integration
• Wi-Fi control
• Basic stabilization
• Height hold
• Position hold
📖 Summary:
This repository provides the firmware and hardware design for a DIY ESP32 drone, initially focused on basic stabilization and Wi-Fi control. It has evolved into LiteWing, a developer-friendly drone development platform with advanced features like height and position hold.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Building and controlling a customizable DIY drone using the ESP32 microcontroller, suitable for hobbyists and developers looking to experiment with drone technology.
✨ Key Features:
• ESP32 and MPU6050 integration
• Wi-Fi control
• Basic stabilization
• Height hold
• Position hold
📖 Summary:
This repository provides the firmware and hardware design for a DIY ESP32 drone, initially focused on basic stabilization and Wi-Fi control. It has evolved into LiteWing, a developer-friendly drone development platform with advanced features like height and position hold.
🔗 Links:
• View Project
================
🔓 Open Source
🔥 PokeTokenBar | Swift
🎯 Primary Use Case:
To provide users with an engaging and visually intuitive way to track their AI coding token usage and associated costs within a macOS menu bar application.
✨ Key Features:
• Visualizes AI token usage as Pokémon companions
• Tracks token spend, cost, and official 5-hour/weekly limits
• Reads usage data directly from local logs (no external CLI needed)
• Hatches, evolves, and collects Pokémon based on token usage
📖 Summary:
PokeTokenBar is a macOS menu bar application that visualizes AI coding token usage by raising and evolving Pokémon. It tracks token spend, costs, and usage limits directly from local logs, providing an engaging way to monitor AI tool consumption.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To provide users with an engaging and visually intuitive way to track their AI coding token usage and associated costs within a macOS menu bar application.
✨ Key Features:
• Visualizes AI token usage as Pokémon companions
• Tracks token spend, cost, and official 5-hour/weekly limits
• Reads usage data directly from local logs (no external CLI needed)
• Hatches, evolves, and collects Pokémon based on token usage
📖 Summary:
PokeTokenBar is a macOS menu bar application that visualizes AI coding token usage by raising and evolving Pokémon. It tracks token spend, costs, and usage limits directly from local logs, providing an engaging way to monitor AI tool consumption.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source