# gopherdata/gophernotes

The Go kernel for Jupyter notebooks and nteract.

Repository: https://github.com/gopherdata/gophernotes
Canonical: https://ross.abutalabs.com/products/gophernotes
Language: Go
License: MIT
License Family: permissive
Topics: go, golang, jupyter, jupyter-notebook, kernel, gophernotes, zeromq, nteract, data-science, machine-learning, artificial-intelligence, numerical-methods
Last push: 2023-11-03T18:02:49+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3876, "days_push": 1034, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3967, forks 264 (observed 2026-08-28T04:08:30.727811+00:00)

## What it is
Gophernotes is a Go kernel for Jupyter notebooks and nteract that lets you write and evaluate Go code interactively in a browser-based notebook. It uses the gomacro interpreter under the hood and supports rich display of images, HTML, and LaTeX.

## Use cases
- run Go code interactively in Jupyter notebooks
- do data science with Go in a notebook environment
- create shareable Go notebooks with live code and visualizations
- learn Go through an interactive REPL-style notebook
- display images, HTML, and LaTeX from Go code cells
- prototype Go code with matrix operations and numerical methods

## When to choose
- you want an interactive Go environment inside Jupyter or nteract
- you prefer Go over Python for data science or numerical work in notebooks
- you need to share executable Go documents with others

## When to avoid
- you need a production Go development workflow with full tooling like debuggers and IDE support
- you require the latest Go language features immediately, since the gomacro interpreter may lag behind
- you need a kernel with frequent updates, as the project is in maintenance mode

## Facets
- artifact type: application
- maturity: maintenance
- function: interpreter, data-science, developer-tools, data-visualization
- domain: data-science, developer-tools, machine-learning, programming-languages
- platform: windows, cross-platform
- tags: jupyter-kernel, go, notebook, interactive-computing, gomacro, nteract, repl, linux, macos, docker

## Member repositories
- gopherdata/gophernotes (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:30.727811+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 2026-08-29T18:24:24.190262+00:00, confidence not recorded.
  - readme: https://github.com/gopherdata/gophernotes (fetched 2026-08-28T04:08:30.727811+00:00, sha 4adee7924a2e)
- Data as of 2026-08-30T08:39:29.467469+00:00.