# AnswerDotAI/nbdev

Create delightful software with Jupyter Notebooks

Repository: https://github.com/AnswerDotAI/nbdev
Canonical: https://ross.abutalabs.com/products/nbdev
Homepage: https://nbdev.fast.ai/
Language: Jupyter Notebook
License: Apache-2.0
License Family: permissive
Topics: jupyter-notebooks, python, literate-programming, fastai, documentation-generator, developer-tools, documentation-tool, jupyter, nbdev, pypi, python-modules, conda
Last push: 2026-08-26T23:00:38+00:00

## Health v2 (maintenance only)
Score: 99/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 99, longevity 100
- inputs: {"age_days": 2480, "days_push": 7, "days_rel": 9, "gap_med": 2, "n_releases_24m": 60}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5312, forks 517 (observed 2026-08-28T04:09:15.459516+00:00)

## What it is
nbdev is a notebook-driven development platform for Python that lets you write code, tests, and prose documentation in Jupyter Notebooks. It auto-generates searchable documentation with Quarto, runs notebook tests in parallel, provides out-of-the-box GitHub Actions CI, syncs notebooks two-way with source files, and publishes packages to PyPI and conda.

## Use cases
- develop python packages in jupyter notebooks
- generate documentation from notebooks
- run tests written as notebook cells
- literate programming in python
- publish a package to pypi and conda from notebooks
- set up continuous integration for a notebook-based project
- sync notebook code with plain source files for IDE editing
- write technical articles with executable code

## When to choose
- You build Python libraries and want documentation, tests, and packaging generated from a single notebook workflow
- You do exploratory, REPL-style development but still want software engineering best practices like CI and first-class tests
- You want git-friendly notebooks with cleaned metadata and human-readable merge conflicts
- You want searchable, hyperlinked docs hosted on GitHub Pages without maintaining a separate docs pipeline

## When to avoid
- You develop on Windows under cmd or PowerShell (only WSL is supported)
- Your team does not use Jupyter notebooks and prefers a traditional IDE-only workflow
- You work primarily in languages other than Python
- You need a minimal toolchain and do not want notebook-based development conventions imposed on your project

## Facets
- artifact type: cli-tool
- maturity: stable
- function: documentation, testing, ci-cd, developer-tools, cli, build-tool
- domain: developer-tools, documentation, testing
- platform: python, cli, windows, cross-platform
- tags: literate-programming, jupyter, notebooks, quarto, fastai, pypi-publishing, conda-packaging, git-friendly-notebooks, notebook-driven-development, github-actions, command-line, macos, linux

## Member repositories
- AnswerDotAI/nbdev (main) score 99

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:15.459516+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 2026-08-29T17:58:58.411972+00:00, confidence not recorded.
  - readme: https://github.com/AnswerDotAI/nbdev (fetched 2026-08-28T04:09:15.459516+00:00, sha f4b49e4d9022)
  - homepage: https://nbdev.fast.ai/ (fetched 2026-08-29T08:53:45.281592+00:00, sha a220886cad7d)
  - registry_pypi: https://pypi.org/pypi/nbdev/json (fetched 2026-08-29T08:53:45.292488+00:00, sha 2f0a6ac984f5)
  - site_page: https://nbdev.fast.ai/getting_started.html (fetched 2026-08-29T08:53:45.290593+00:00, sha 49680551810c)
- Data as of 2026-08-30T08:39:29.467469+00:00.