# dccsillag/magma-nvim

Interact with Jupyter from NeoVim.

Repository: https://github.com/dccsillag/magma-nvim
Canonical: https://ross.abutalabs.com/products/magma-nvim
Language: Python
License: GPL-3.0
License Family: copyleft
Last push: 2024-01-04T13:51:44+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1850, "days_push": 972, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1245, forks 57 (observed 2026-08-28T04:04:07.051456+00:00)

## What it is
Magma is a NeoVim plugin that lets users run code interactively with Jupyter kernels directly inside the editor. It evaluates code blocks or lines, shows inline outputs including images, plots, and TeX formulas, and supports multiple kernels such as Python and .NET interactive.

## Use cases
- run jupyter code from neovim
- evaluate code cells inline in vim
- show plots and images inside neovim
- use jupyter kernels without leaving the editor
- interactive python development in neovim
- run csharp or fsharp interactively via dotnet interactive

## When to choose
- you live in NeoVim and want notebook-style interactive execution
- you want inline image, plot, and formula output without a browser
- you prefer lightweight Jupyter integration over full Jupyter Notebook UI

## When to avoid
- you need full notebook features like cell editing UI, widgets, or notebook file export
- you use MacOS and need image display, since ueberzug is unavailable
- you use Vim instead of NeoVim 0.5+

## Facets
- artifact type: plugin
- maturity: maintenance
- function: editor, data-science, developer-tools
- domain: data-science, developer-tools, text-editors
- platform: editor-plugin, python
- tags: neovim, jupyter, notebook, interactive-coding, repl, code-evaluation, linux

## Member repositories
- dccsillag/magma-nvim (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:07.051456+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T05:08:08.810806+00:00, confidence not recorded.
  - readme: https://github.com/dccsillag/magma-nvim (fetched 2026-08-28T04:04:07.051456+00:00, sha 73ba828da788)
- Data as of 2026-08-30T08:39:29.467469+00:00.