Is there anything like a running Jupyter Kernel LSP?

This page summarizes the projects mentioned and recommended in the original post on /r/neovim

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  • magma-nvim

    Interact with Jupyter from NeoVim.

  • With stuff like https://github.com/dccsillag/magma-nvim or https://github.com/hanschen/vim-ipython-cell, I rarely never use a Jupyter notebook anymore.

  • vim-ipython-cell

    Seamlessly run Python code in IPython from Vim

  • With stuff like https://github.com/dccsillag/magma-nvim or https://github.com/hanschen/vim-ipython-cell, I rarely never use a Jupyter notebook anymore.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • jupyterlab-lsp

    Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol

  • I've recently seen JupyterLab LSP that bring the static analysis aspect of LSP to the notebook, and been wondering if there is anything similar that try to bridge a running kernel back into Neovim.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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