🔥 KrillinAI | Go
🎯 Primary Use Case:
Automated video translation and dubbing for creating multilingual, cross-platform video content.
✨ Key Features:
• One-click deployment and operation
• Video acquisition via yt-dlp or local upload
• High-accuracy speech recognition (Whisper)
• LLM-powered subtitle segmentation and translation
• Professional vocabulary replacement
📖 Summary:
KrillinAI is a Go-based tool for video translation and dubbing, offering end-to-end localization for cross-platform content. It supports over 100 languages, integrates speech recognition and LLM-based translation, and features voice cloning for professional-sounding dubs.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Automated video translation and dubbing for creating multilingual, cross-platform video content.
✨ Key Features:
• One-click deployment and operation
• Video acquisition via yt-dlp or local upload
• High-accuracy speech recognition (Whisper)
• LLM-powered subtitle segmentation and translation
• Professional vocabulary replacement
📖 Summary:
KrillinAI is a Go-based tool for video translation and dubbing, offering end-to-end localization for cross-platform content. It supports over 100 languages, integrates speech recognition and LLM-based translation, and features voice cloning for professional-sounding dubs.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🚀 qxresearch-event-1 | Python
🎯 Primary Use Case:
To serve as a learning resource for Python developers, showcasing how to build various applications with minimal code, and to provide easily understandable examples for different programming concepts.
✨ Key Features:
• 50+ Python applications
• 10 lines of code per application
• Covers ML, DL, GUI, CV, API development
📖 Summary:
This repository offers a collection of over 50 practical Python applications, each written with a maximum of 10 lines of code. It covers diverse areas like Machine Learning, GUI, Computer Vision, and API development, aiming to provide simple, understandable, and easily modifiable code examples for learning and experimentation.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To serve as a learning resource for Python developers, showcasing how to build various applications with minimal code, and to provide easily understandable examples for different programming concepts.
✨ Key Features:
• 50+ Python applications
• 10 lines of code per application
• Covers ML, DL, GUI, CV, API development
📖 Summary:
This repository offers a collection of over 50 practical Python applications, each written with a maximum of 10 lines of code. It covers diverse areas like Machine Learning, GUI, Computer Vision, and API development, aiming to provide simple, understandable, and easily modifiable code examples for learning and experimentation.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
✨ glances | Python
🎯 Primary Use Case:
Real-time system performance monitoring and resource utilization analysis across multiple operating systems, accessible via terminal, web UI, or API.
✨ Key Features:
• Cross-platform system monitoring (Linux, BSD, macOS, Windows)
• Real-time monitoring of CPU, memory, disk, network, processes, etc.
• Container monitoring (Docker, LXC)
📖 Summary:
Glances is an open-source, cross-platform system monitoring tool written in Python. It provides real-time insights into CPU, memory, disk, network, processes, and container usage, with a user-friendly dashboard. It supports remote monitoring via a web interface, CLI, and RESTful API, and can export data to various formats or databases.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Real-time system performance monitoring and resource utilization analysis across multiple operating systems, accessible via terminal, web UI, or API.
✨ Key Features:
• Cross-platform system monitoring (Linux, BSD, macOS, Windows)
• Real-time monitoring of CPU, memory, disk, network, processes, etc.
• Container monitoring (Docker, LXC)
📖 Summary:
Glances is an open-source, cross-platform system monitoring tool written in Python. It provides real-time insights into CPU, memory, disk, network, processes, and container usage, with a user-friendly dashboard. It supports remote monitoring via a web interface, CLI, and RESTful API, and can export data to various formats or databases.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
✨ luna | Go
🎯 Primary Use Case:
To provide a unified, customizable, and self-hosted interface for aggregating and viewing multiple digital calendars.
✨ Key Features:
• Calendar aggregation from CalDav, iCal, Google Calendar
• Single web application frontend
• User management
• Infinitely customizable themes and fonts
• Built-in themes and easy installation of custom themes/fonts
📖 Summary:
Luna is a self-hosted calendar aggregator and frontend application that consolidates calendars from various protocols like CalDav, iCal, and Google Calendar into a single, customizable web interface. It offers extensive theming options and user management, aiming to provide a unified and personalized calendar experience.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
To provide a unified, customizable, and self-hosted interface for aggregating and viewing multiple digital calendars.
✨ Key Features:
• Calendar aggregation from CalDav, iCal, Google Calendar
• Single web application frontend
• User management
• Infinitely customizable themes and fonts
• Built-in themes and easy installation of custom themes/fonts
📖 Summary:
Luna is a self-hosted calendar aggregator and frontend application that consolidates calendars from various protocols like CalDav, iCal, and Google Calendar into a single, customizable web interface. It offers extensive theming options and user management, aiming to provide a unified and personalized calendar experience.
🔗 Links:
• View Project
================
🔓 Open Source
🌟 ai-file-sorter | C++
🎯 Primary Use Case:
Intelligent, AI-powered organization and renaming of digital files on a desktop.
✨ Key Features:
• Content-aware file organization and renaming
• Supports local and remote LLMs (e.g., Llama 3B, Mistral 7B)
• Preview-based workflows for user control
• Automatic folder creation and file sorting
• Privacy-first design with local processing options
📖 Summary:
AI File Sorter is a cross-platform desktop application that leverages AI to intelligently organize and rename files like images, documents, and media. It offers a privacy-first approach by supporting local LLMs and providing preview-based workflows for user-controlled file management.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Intelligent, AI-powered organization and renaming of digital files on a desktop.
✨ Key Features:
• Content-aware file organization and renaming
• Supports local and remote LLMs (e.g., Llama 3B, Mistral 7B)
• Preview-based workflows for user control
• Automatic folder creation and file sorting
• Privacy-first design with local processing options
📖 Summary:
AI File Sorter is a cross-platform desktop application that leverages AI to intelligently organize and rename files like images, documents, and media. It offers a privacy-first approach by supporting local LLMs and providing preview-based workflows for user-controlled file management.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🌟 phantom | TypeScript
🎯 Primary Use Case:
To provide a persistent, autonomous AI co-worker that can independently manage tasks, build tools, and evolve its capabilities within its own dedicated environment, freeing up user resources.
✨ Key Features:
• Persistent memory and self-evolution
• Dedicated computing environment (its own computer)
• Autonomous software installation and infrastructure building
📖 Summary:
Phantom is an AI co-worker designed to be persistent and self-evolving, acting as an independent agent with its own dedicated computing environment. It goes beyond typical chatbots by installing software, managing data, and building infrastructure autonomously, improving its capabilities over time.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To provide a persistent, autonomous AI co-worker that can independently manage tasks, build tools, and evolve its capabilities within its own dedicated environment, freeing up user resources.
✨ Key Features:
• Persistent memory and self-evolution
• Dedicated computing environment (its own computer)
• Autonomous software installation and infrastructure building
📖 Summary:
Phantom is an AI co-worker designed to be persistent and self-evolving, acting as an independent agent with its own dedicated computing environment. It goes beyond typical chatbots by installing software, managing data, and building infrastructure autonomously, improving its capabilities over time.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🔥 Snapframe | TypeScript
🎯 Primary Use Case:
Generating professional app store screenshots with customizable templates and device mockups.
✨ Key Features:
• Professional Templates
• Device Frames
• Per-Slide Theming
• Dynamic Text Blocks
• Real-time Preview
📖 Summary:
Snapframe is a web-based screenshot builder that allows app developers and designers to easily create professional, marketing-ready screenshots for app stores. It offers templates, device frames, dynamic text, and real-time previews, with a unique JSON editor for programmatic creation and AI-assisted workflows.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Generating professional app store screenshots with customizable templates and device mockups.
✨ Key Features:
• Professional Templates
• Device Frames
• Per-Slide Theming
• Dynamic Text Blocks
• Real-time Preview
📖 Summary:
Snapframe is a web-based screenshot builder that allows app developers and designers to easily create professional, marketing-ready screenshots for app stores. It offers templates, device frames, dynamic text, and real-time previews, with a unique JSON editor for programmatic creation and AI-assisted workflows.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
✨ Telegram-Drive | TypeScript
🎯 Primary Use Case:
To provide users with a free, unlimited, and secure cloud storage solution by leveraging their existing Telegram accounts.
✨ Key Features:
• Unlimited Cloud Storage
• High Performance Grid
• Auto-Updates
• Media Streaming
• PDF Viewer
📖 Summary:
Telegram Drive is an open-source desktop application that transforms your Telegram account into a secure, unlimited cloud storage solution. It provides a familiar file explorer interface for managing files directly on Telegram's servers using its API.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To provide users with a free, unlimited, and secure cloud storage solution by leveraging their existing Telegram accounts.
✨ Key Features:
• Unlimited Cloud Storage
• High Performance Grid
• Auto-Updates
• Media Streaming
• PDF Viewer
📖 Summary:
Telegram Drive is an open-source desktop application that transforms your Telegram account into a secure, unlimited cloud storage solution. It provides a familiar file explorer interface for managing files directly on Telegram's servers using its API.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
❤2
✨ hyperframes | TypeScript
🎯 Primary Use Case:
To enable AI agents and developers to easily create and render video content using HTML and CSS, streamlining the video production workflow.
✨ Key Features:
• HTML-based video rendering framework
• Integration with AI coding agents (Claude Code, Cursor, Gemini CLI, Codex)
• Support for GSAP animations
• AI agent skills for generating compositions and animations
• CLI commands for rendering
📖 Summary:
Hyperframes is an open-source video rendering framework that allows users to create video compositions using HTML and CSS. It integrates with AI agents to facilitate the creation process, enabling users to describe desired videos and have the AI generate the HTML/CSS code for rendering.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
To enable AI agents and developers to easily create and render video content using HTML and CSS, streamlining the video production workflow.
✨ Key Features:
• HTML-based video rendering framework
• Integration with AI coding agents (Claude Code, Cursor, Gemini CLI, Codex)
• Support for GSAP animations
• AI agent skills for generating compositions and animations
• CLI commands for rendering
📖 Summary:
Hyperframes is an open-source video rendering framework that allows users to create video compositions using HTML and CSS. It integrates with AI agents to facilitate the creation process, enabling users to describe desired videos and have the AI generate the HTML/CSS code for rendering.
🔗 Links:
• View Project
================
🔓 Open Source
🔥 everything-ai-ml | TypeScript
🎯 Primary Use Case:
To provide a structured and comprehensive collection of learning materials for individuals interested in mastering Generative AI and Machine Learning.
✨ Key Features:
• Curated collection of learning resources
• Covers Generative AI, Machine Learning, Agentic AI, LLMs, RAG, Fine-tuning, MLOps
📖 Summary:
This repository is a comprehensive, curated collection of learning resources for Generative AI, Machine Learning, and related advanced topics. It serves as a central hub for individuals looking to deepen their understanding and skills in these rapidly evolving fields, offering a structured path from foundational concepts to advanced applications.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To provide a structured and comprehensive collection of learning materials for individuals interested in mastering Generative AI and Machine Learning.
✨ Key Features:
• Curated collection of learning resources
• Covers Generative AI, Machine Learning, Agentic AI, LLMs, RAG, Fine-tuning, MLOps
📖 Summary:
This repository is a comprehensive, curated collection of learning resources for Generative AI, Machine Learning, and related advanced topics. It serves as a central hub for individuals looking to deepen their understanding and skills in these rapidly evolving fields, offering a structured path from foundational concepts to advanced applications.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
✨ omniget | Rust
🎯 Primary Use Case:
To provide a unified desktop environment for downloading and studying online courses and digital books, enhancing the learning experience with integrated study tools and content management.
✨ Key Features:
• Download and watch online courses (Hotmart, Udemy, Kiwify, etc.)
📖 Summary:
OmniGet is an open-source desktop application designed for efficient online learning and content consumption. It allows users to download courses from various platforms and read digital books (PDF, EPUB) within the app, offering features like timestamped notes, flashcards, and focus modes to enhance studying. Additionally, it supports downloading videos from social media and torrents.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To provide a unified desktop environment for downloading and studying online courses and digital books, enhancing the learning experience with integrated study tools and content management.
✨ Key Features:
• Download and watch online courses (Hotmart, Udemy, Kiwify, etc.)
📖 Summary:
OmniGet is an open-source desktop application designed for efficient online learning and content consumption. It allows users to download courses from various platforms and read digital books (PDF, EPUB) within the app, offering features like timestamped notes, flashcards, and focus modes to enhance studying. Additionally, it supports downloading videos from social media and torrents.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
❤1
🚀 token-dashboard | Python
🎯 Primary Use Case:
To provide users with local, detailed analytics and cost insights into their Claude Code AI interactions, enabling them to identify and optimize expensive prompts and wasteful usage patterns.
✨ Key Features:
• Local data processing: No data leaves the user's machine.
• Per-prompt cost analytics.
• Tool/file heatmaps.
• Subagent attribution.
• Cache analytics.
📖 Summary:
Token Dashboard is a local application that analyzes JSONL transcripts generated by Claude Code. It provides insights into token usage, costs, and patterns, helping users understand and optimize their AI interactions without sending any data off their machine.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
To provide users with local, detailed analytics and cost insights into their Claude Code AI interactions, enabling them to identify and optimize expensive prompts and wasteful usage patterns.
✨ Key Features:
• Local data processing: No data leaves the user's machine.
• Per-prompt cost analytics.
• Tool/file heatmaps.
• Subagent attribution.
• Cache analytics.
📖 Summary:
Token Dashboard is a local application that analyzes JSONL transcripts generated by Claude Code. It provides insights into token usage, costs, and patterns, helping users understand and optimize their AI interactions without sending any data off their machine.
🔗 Links:
• View Project
================
🔓 Open Source
🔥 npxskillui | TypeScript
🎯 Primary Use Case:
To reverse-engineer existing design systems from any source (web, local, repo) and make them readily usable by AI code generation tools like Claude for rapid UI development.
✨ Key Features:
• Extracts design systems (colors, typography, spacing, components, animations, screenshots) from URLs, local directories, or Git repositories.
📖 Summary:
SkillUI is a command-line interface tool that analyzes websites, local codebases, or Git repositories to extract their complete design systems. It packages this information into a format that AI models like Claude can directly use to generate UI code, enabling rapid UI development based on existing design languages.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To reverse-engineer existing design systems from any source (web, local, repo) and make them readily usable by AI code generation tools like Claude for rapid UI development.
✨ Key Features:
• Extracts design systems (colors, typography, spacing, components, animations, screenshots) from URLs, local directories, or Git repositories.
📖 Summary:
SkillUI is a command-line interface tool that analyzes websites, local codebases, or Git repositories to extract their complete design systems. It packages this information into a format that AI models like Claude can directly use to generate UI code, enabling rapid UI development based on existing design languages.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🚀 kittyfarm | Swift
🎯 Primary Use Case:
Running and managing multiple iOS Simulators and Android Emulators concurrently on a Mac for efficient mobile app testing and development.
✨ Key Features:
• Live display of iOS Simulators and Android Emulators in a single window
• Synchronized touch input across multiple devices
• Device bezels rendered from official assets
• Build & Play functionality for parallel deployment
• Drag-and-drop device reordering
📖 Summary:
KittyFarm is a macOS application designed to streamline mobile development workflows by allowing developers to run and control multiple iOS Simulators and Android Emulators simultaneously within a single window. It offers features like synchronized touch input, parallel deployment, and proportional device scaling.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Running and managing multiple iOS Simulators and Android Emulators concurrently on a Mac for efficient mobile app testing and development.
✨ Key Features:
• Live display of iOS Simulators and Android Emulators in a single window
• Synchronized touch input across multiple devices
• Device bezels rendered from official assets
• Build & Play functionality for parallel deployment
• Drag-and-drop device reordering
📖 Summary:
KittyFarm is a macOS application designed to streamline mobile development workflows by allowing developers to run and control multiple iOS Simulators and Android Emulators simultaneously within a single window. It offers features like synchronized touch input, parallel deployment, and proportional device scaling.
🔗 Links:
• View Project
================
🔓 Open Source
❤1
🌟 allure-notifications | Java
🎯 Primary Use Case:
Automating the distribution of test execution reports to communication platforms.
✨ Key Features:
• Automatic test result notifications
• Support for multiple messengers (Telegram, Slack, Mattermost, Discord, etc.)
• Generates a pie chart visualization of test statistics
• Includes a link to the Allure report/build
• Configurable via JSON file
📖 Summary:
Allure Notifications is a Java library that automatically sends test execution results to various messengers. It generates a pie chart from the test statistics and includes a link to the build report.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Automating the distribution of test execution reports to communication platforms.
✨ Key Features:
• Automatic test result notifications
• Support for multiple messengers (Telegram, Slack, Mattermost, Discord, etc.)
• Generates a pie chart visualization of test statistics
• Includes a link to the Allure report/build
• Configurable via JSON file
📖 Summary:
Allure Notifications is a Java library that automatically sends test execution results to various messengers. It generates a pie chart from the test statistics and includes a link to the build report.
🔗 Links:
• View Project
================
🔓 Open Source
🔥 geo-optimizer-skill | Python
🎯 Primary Use Case:
Optimizing websites to be discoverable and citable by AI search engines.
✨ Key Features:
• Audit websites against 47 AI search engine visibility methods
• Generate actionable recommendations for optimization
• Create missing SEO files (robots.txt, llms.txt, schema, meta)
• Compare website versions and detect regressions
• Monitor AI visibility and track trends over time
📖 Summary:
The GEO Optimizer is a Python toolkit designed to audit, optimize, and enhance website visibility for AI search engines like ChatGPT, Perplexity, Claude, and Gemini. It analyzes websites based on 47 research-backed methods to ensure they are discoverable and citable by AI.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Optimizing websites to be discoverable and citable by AI search engines.
✨ Key Features:
• Audit websites against 47 AI search engine visibility methods
• Generate actionable recommendations for optimization
• Create missing SEO files (robots.txt, llms.txt, schema, meta)
• Compare website versions and detect regressions
• Monitor AI visibility and track trends over time
📖 Summary:
The GEO Optimizer is a Python toolkit designed to audit, optimize, and enhance website visibility for AI search engines like ChatGPT, Perplexity, Claude, and Gemini. It analyzes websites based on 47 research-backed methods to ensure they are discoverable and citable by AI.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
❤3
🚀 WireTapper | HTML
🎯 Primary Use Case:
Passive wireless reconnaissance and signal intelligence gathering for OSINT and security analysis.
✨ Key Features:
• Passively detects Wi-Fi, Bluetooth, CCTV cameras, vehicles, headphones, TVs, IoT devices, and cell towers
• Maps and analyzes radio signals for situational intelligence
• Identifies leaked Wi-Fi network credentials using k-Anonymity
📖 Summary:
WireTapper is a wireless OSINT and signal intelligence platform that passively detects, maps, and analyzes radio signals from various devices like Wi-Fi, Bluetooth, cameras, vehicles, and IoT appliances. It aims to provide situational intelligence by understanding the invisible wireless landscape without active intrusion.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Passive wireless reconnaissance and signal intelligence gathering for OSINT and security analysis.
✨ Key Features:
• Passively detects Wi-Fi, Bluetooth, CCTV cameras, vehicles, headphones, TVs, IoT devices, and cell towers
• Maps and analyzes radio signals for situational intelligence
• Identifies leaked Wi-Fi network credentials using k-Anonymity
📖 Summary:
WireTapper is a wireless OSINT and signal intelligence platform that passively detects, maps, and analyzes radio signals from various devices like Wi-Fi, Bluetooth, cameras, vehicles, and IoT appliances. It aims to provide situational intelligence by understanding the invisible wireless landscape without active intrusion.
🔗 Links:
• View Project
================
🔓 Open Source
🔥 lynxdb | Go
🎯 Primary Use Case:
Analyzing and querying log data in real-time or from files, with a focus on ease of use and performance through a single binary deployment.
✨ Key Features:
• Single binary, no dependencies
• Pipe mode for ad-hoc analysis
• Server mode for persistent operation
• Lynx Flow query language (SPL2 compatible)
• Full-text search with FST inverted index
📖 Summary:
LynxDB is a lightweight, single-binary log analytics tool that processes and queries log data using its proprietary Lynx Flow query language. It supports both a pipe mode for ad-hoc analysis directly from standard input and a server mode for persistent data ingestion and querying, offering features like full-text search and columnar storage.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Analyzing and querying log data in real-time or from files, with a focus on ease of use and performance through a single binary deployment.
✨ Key Features:
• Single binary, no dependencies
• Pipe mode for ad-hoc analysis
• Server mode for persistent operation
• Lynx Flow query language (SPL2 compatible)
• Full-text search with FST inverted index
📖 Summary:
LynxDB is a lightweight, single-binary log analytics tool that processes and queries log data using its proprietary Lynx Flow query language. It supports both a pipe mode for ad-hoc analysis directly from standard input and a server mode for persistent data ingestion and querying, offering features like full-text search and columnar storage.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🌟 SpotiFLAC-RU | TypeScript
🎯 Primary Use Case:
To provide Russian-speaking users with a localized tool to download high-quality FLAC audio tracks from Spotify, sourced from other premium music streaming services.
✨ Key Features:
• Downloads Spotify tracks in true FLAC quality
• Sources audio from Tidal, Qobuz, and Amazon Music
• No Spotify account required
• Full Russian interface translation
📖 Summary:
SpotiFLAC-RU is a Russian localization of a tool that downloads Spotify tracks in FLAC quality from various streaming services like Tidal, Qobuz, and Amazon Music without requiring a user account. This fork specifically offers a fully translated interface and localized notifications for Russian-speaking users, along with fixes for Windows compilation issues.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
To provide Russian-speaking users with a localized tool to download high-quality FLAC audio tracks from Spotify, sourced from other premium music streaming services.
✨ Key Features:
• Downloads Spotify tracks in true FLAC quality
• Sources audio from Tidal, Qobuz, and Amazon Music
• No Spotify account required
• Full Russian interface translation
📖 Summary:
SpotiFLAC-RU is a Russian localization of a tool that downloads Spotify tracks in FLAC quality from various streaming services like Tidal, Qobuz, and Amazon Music without requiring a user account. This fork specifically offers a fully translated interface and localized notifications for Russian-speaking users, along with fixes for Windows compilation issues.
🔗 Links:
• View Project
================
🔓 Open Source
🔥 nvitop | Python
🎯 Primary Use Case:
Monitoring and managing NVIDIA GPU processes and resources in real-time from the command line.
✨ Key Features:
• Interactive NVIDIA-GPU process viewer
• Real-time monitoring of GPU utilization, memory, temperature, power, etc.
• Process management (viewing, killing)
• CUDA visible devices selection tool
• Prometheus exporter for Grafana dashboards
📖 Summary:
nvitop is an interactive command-line tool for monitoring and managing NVIDIA GPU processes. It provides real-time insights into GPU utilization, memory usage, and running processes, similar to `htop` for CPUs, and includes features for CUDA visible devices selection and Prometheus exporting.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Monitoring and managing NVIDIA GPU processes and resources in real-time from the command line.
✨ Key Features:
• Interactive NVIDIA-GPU process viewer
• Real-time monitoring of GPU utilization, memory, temperature, power, etc.
• Process management (viewing, killing)
• CUDA visible devices selection tool
• Prometheus exporter for Grafana dashboards
📖 Summary:
nvitop is an interactive command-line tool for monitoring and managing NVIDIA GPU processes. It provides real-time insights into GPU utilization, memory usage, and running processes, similar to `htop` for CPUs, and includes features for CUDA visible devices selection and Prometheus exporting.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source