qgadrian
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Lists (13)
🤖 ai
🥟 apps
🦙 awesome awesomes
🗻 everythingjs
Anything related to the JS work, because there is always room for one more JS library🎻 kubernetes
💻 macos
👽 misc
other stuff🚀 My stack
Stars
Open source RabbitMQ: core server and tier 1 (built-in) plugins
A feature-rich offline application, is meticulously crafted to support developers in their daily tasks while ensuring the utmost security of their data
Laminar - Open-source DataDog + PostHog for AI agents / RAG apps. Fast, reliable and insightful. Written in Rust 🦀. YC S24.
Adaptive Lighting custom component for Home Assistant
real time face swap and one-click video deepfake with only a single image
Single tabpage interface for easily cycling through diffs for all modified files for any git rev.
💫 Orbit is the first CSS framework designed specifically for building radial user interfaces!
An onboarding wizard flow / product tour for Next.js animated by framer motion
Incremental LSP renaming based on Neovim's command-preview feature.
Command line utility to make you a magician in the terminal
null-ls.nvim reloaded / Use Neovim as a language server to inject LSP diagnostics, code actions, and more via Lua.
☂️ TypeScript style guide, formatter, and linter.
❤️ JavaScript/TypeScript linter (ESLint wrapper) with great defaults
A telescope.nvim extension to open iOS simulators and Android emulators.
A plugin that leverages Neovim's built-in RPC functionality to simplify opening files from within Neovim's terminal emulator without nesting sessions.
TerminalTextEffects (TTE) is a terminal visual effects engine, application, and Python library.
Open source data anonymization and synthetic data orchestration for developers. Create high fidelity synthetic data and sync it across your environments.
Rate limiting library for serverless runtimes
Open Source framework for voice and multimodal conversational AI
🍀 Local git statistics including GitHub-like contributions calendars.
Tegon is an open-source, dev-first alternative to Jira, Linear
Automate browser-based workflows with LLMs and Computer Vision