Language Server Protocol integration for Jupyter(Lab)

This project is in its early days, but you are welcome to check it out, leave feedback and/or a PR

Quick Links: Installation | Language Servers | Updating | Changelog | Roadmap | Contributing | Extending

Features

Examples below are for Python, but work for R as well

Hover

Hover over any piece of code; if an underline appears, you can press Ctrl to get a tooltip with function/class signature, module documentation or any other piece of information that the language server provides

Diagnostics

Critical errors have red underline, warnings are orange, etc. Hover over the underlined code to see a more detailed message

Jump to Definition

Use the context menu entries to jump to definitions

Highlight References

Place your cursor on a variable, function, etc and all the usages will be highlighted

Automatic Completion

Certain characters, for example '.' (dot) in Python, will automatically trigger completion

Automatic Signature Suggestions

Function signatures will automatically be displayed

Kernel-less Autocompletion

Advanced static-analysis autocompletion without a running kernel

When a kernel is available the suggestions from the kernel (such as keys of a dict and columns of a DataFrame autocompletion) are merged with the suggestions from the Language Server (currently only in notebook).

Prerequisites

Either:

• JupyterLab >=1.1.4,<1.2
• JupyterLab >=1.2.3,<1.3.0a0
• Python 3.5+
• nodejs 8+

Installation

For the current stable version:

1. install the server extension:

   pip install --pre jupyter-lsp

2. install the frontend extension:

   jupyter labextension install @krassowski/jupyterlab-lsp

3. install LSP servers for languages of your choice; for example, for Python (pyls) and R (languageserver) servers:

   pip install python-language-server[all]
   R -e 'install.packages("languageserver")'

   or from conda-forge

   conda install -c conda-forge python-language-server r-languageserver

   Please see our full list of supported language servers which includes installation hints for the common package managers (npm/pip/conda). In general, any LSP server from the Microsoft list should work after some additional configuration.

   Note: it may be worth visiting the repository of each server you install as many provide additional configuration options.

4. (Optional, Linux/OSX-only) to enable opening files outside of the root directory (the place where you start JupyterLab), create .lsp_symlink and symlink your /home, or any other location which includes the files that you wish to make possible to open in there:

   mkdir .lsp_symlink
   cd .lsp_symlink
   ln -s /home home

   If your user does not have sufficient permissions to traverse the entire path, you will not be able to open the file. A more detailed guide on symlinking (written for a related jupyterlab-go-to-definition extension) is available here.

Updating

To update previously installed extensions:

pip install -U jupyter-lsp
jupyter labextension update @krassowski/jupyterlab-lsp

Getting the latest alpha/beta/RC version

Use install command (update does not seem to work) appending @<0.x.y.rc-z> to the extension name, like this:

jupyter labextension install @krassowski/jupyterlab-lsp@0.7.0-rc.0

Acknowledgements

This would not be possible without the fantastic initial work at wylieconlon/lsp-editor-adapter.