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@postgrestools/postgrestools

v0.17.2

Published

A collection of language tools and a Language Server Protocol (LSP) implementation for Postgres, focusing on developer experience and reliable SQL tooling.

Readme

[!WARNING] This package is deprecated. Please use @postgres-language-server/cli instead.

The @postgrestools namespace is being phased out in favor of @postgres-language-server. All future updates and development will happen in the new package.

Postgres Language Server

Postgres Language Server

A collection of language tools and a Language Server Protocol (LSP) implementation for Postgres, focusing on developer experience and reliable SQL tooling.

Docs: pg-language-server.com

Install: instructions

Overview

LSP Demo | CLI Demo :-------------------------:|:-------------------------: LSP Demo | CLI Demo

This project provides a toolchain for Postgres development, built on Postgres' own parser libpg_query to ensure 100% syntax compatibility. It is built on a Server-Client architecture with a transport-agnostic design. This means all features can be accessed not only through the Language Server Protocol, but also through other interfaces like a CLI, HTTP APIs, or a WebAssembly module. The goal is to make all the great Postgres tooling out there as accessible as possible, and to build anything that is missing ourselves.

The following features are implemented:

  • Autocompletion
  • Syntax Error Highlighting
  • Type-checking (via EXPLAIN error insights)
  • Linter, inspired by Squawk

Our current focus is on refining and enhancing these core features while building a robust and easily accessible infrastructure. For future plans and opportunities to contribute, please check out the issues and discussions. Any contributions are welcome!

Contributors

Development

Using Nix

nix develop
docker-compose up -d

Using Docker

docker-compose up -d

Acknowledgements

A big thanks to the following projects, without which this project wouldn't have been possible:

  • libpg_query: For extracting the Postgres' parser
  • Biome: For implementing a toolchain infrastructure we could copy from
  • Squawk: For the linter inspiration