An extensible framework for interacting with tests within NeoVim.
- neovim
- lua
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An extensible framework for interacting with tests within NeoVim.
A Neovim (lua) plugin for working with a markdown zettelkasten / wiki and mixing it with a journal, based on telescope.nvim
👻 A cross platform terminal image viewer for Neovim. Extensible and fast, written in Lua and C. Works on macOS and Linux.
🚧 (Alpha stage software) Edit files, run programs, and work with LSP on a remote machine from the comfort of your local environment 🚧
Improved UI and workflow for the Neovim quickfix
A declarative, highly configurable, and neovim style tabline plugin. Use your nvim tabs as a workspace multiplexer!
A simple wrapper around :mksession.
A multi-cursor plugin for Neovim that works in normal, insert/replace, or visual modes, and with almost every command
Neovim (Lua powered) Network Resource Manager
a simple plugin to manage workspace directories in neovim
Search & replace in the current buffer or workspace with incremental preview, a convenient UI, and modern regex syntax.
seamless neovim integration with goose - work with a powerful AI agent without leaving your editor
TrailBlazer enables you to seemlessly move through important project marks as quickly and efficiently as possible to make your workflow blazingly fast ™.
Populate diagnostics for _all_ projects files, not just opened ones.
Configurable tools for working with Markdown in Neovim.
Work with GitHub in Neovim 🌊
The most sophisticated all-in-one toolkit to work with .env files and environment variables in NeoVim
Distro agnostic components for your Neovim heirline config
Use Neovim as the default code editor for Unity — with .csproj generation, OmniSharp support and LSP-ready workflow.
Neovim plugin to assist work with CSV files
Annotation generation framework with support for most languages and annotation styles⌨️✨
User-friendly framework for building your dream tabline in a few lines of code.
Extensible spinner framework for Neovim plugins and UI.
A smart picker for Snacks.nvim that trains a neural network with your file picking preferences.