tinymist 
 Language Service
 An integrated language service providing features like semantic highlighting, formatting, and code completion for a programming language.
Tinymist [ˈtaɪni mɪst] is an integrated language service for Typst [taɪpst].
932 stars
 5 watching
 37 forks
 
Language: Rust 
last commit: 11 months ago 
Linked from   1 awesome list  
  formatterlsplsp-servertypstvscode-extension 
 Related projects:
| Repository | Description | Stars | 
|---|---|---|
|    |  A Rust-based project that enables the rendering and compilation of typst documents in various environments, including browsers and servers. | 440 | 
|    |  A dynamic typing programming language with features like DSL building and continuation semantics | 925 | 
|    |  An implementation of the Language Server Protocol for the Nim programming language. | 418 | 
|    |  A language server implementation for a markup language that provides workspace management and completion capabilities | 1 | 
|    |  A language server and extension for Typst, providing syntax highlighting, error reporting, code completion, and PDF compilation. | 1,203 | 
|    |  A statically structurally typed JIT-compiled programming language designed to be easily embedded in other programs. | 63 | 
|    |  An animation library implementing a simple human typing simulation effect | 147 | 
|    |  A Vue wrapper around TinyMCE for rich text editing in web applications. | 2,088 | 
|    |  A plugin that integrates the Scala Language Server into Neovim for better development experience. | 478 | 
|    |  A simple C++ finite state machine library for building and managing complex state transitions. | 958 | 
|    |  Provides a Python interface to compile and query markup-based typesetting system typst. | 126 | 
|    |  A ticketing application demonstrating microservice communication with RabbitMQ and MassTransit in ASP.NET Core | 38 | 
|    |  A Sinatra-like micro framework for declaring routes and handling requests in Julia | 130 | 
|    |  A package to typeset units and numbers with customizable options | 68 | 
|    |  A comprehensive machine learning course for embedded devices, covering the basics of TinyML and its applications | 46 |