Skip to main content

Getting Started

CI

nbdev is a notebook-driven development platform. Simply write notebooks with lightweight markup and get high-quality documentation, tests, continuous integration, and packaging for free!

nbdev makes debugging and refactoring your code much easier than in traditional programming environments since you always have live objects at your fingertips. nbdev also promotes software engineering best practices because tests and documentation are first class.

  • Documentation is automatically generated using Quarto and hosted on GitHub Pages. Docs support LaTeX, are searchable, and are automatically hyperlinked (including out-of-the-box support for many packages via nbdev-index)
  • Publish packages to PyPI and conda as well as tools to simplify package releases. Python best practices are automatically followed, for example, only exported objects are included in __all__
  • Two-way sync between notebooks and plaintext source code allowing you to use your IDE for code navigation or quick edits
  • Tests written as ordinary notebook cells are run in parallel with a single command
  • Continuous integration out-of-the-box with GitHub Actions that run your tests and rebuild your docs
  • Git-friendly notebooks with Jupyter/Git hooks that clean unwanted metadata and render merge conflicts in a human-readable format
  • … and much more!

Install

nbdev works on macOS, Linux, and most Unix-style operating systems. It works on Windows under WSL, but not under cmd or Powershell.

You can install nbdev with pip:

pip install nbdev

… or with conda (or mamba):

conda install -c fastai nbdev

Note that nbdev must be installed into the same Python environment that you use for both Jupyter and your project.

How to use nbdev

The best way to learn how to use nbdev is to complete either the written walkthrough or video walkthrough:

Alternatively, there’s a shortened version of the video walkthrough with coding sections sped up using the unsilence Python library – it’s 27 minutes faster, but a bit harder to follow.

You can also run nbdev_help from the terminal to see the full list of available commands:

!nbdev_help
nbdev_bump_version        Increment version in settings.ini by one
nbdev_changelog           Create a CHANGELOG.md file from closed and labeled GitHub issues
nbdev_clean               Clean all notebooks in `fname` to avoid merge conflicts
nbdev_conda               Create a `meta.yaml` file ready to be built into a package, and optionally build and upload it
nbdev_create_config       Create a config file.
nbdev_docs                Create Quarto docs and README.md
nbdev_export              Export notebooks in `path` to Python modules
nbdev_filter              A notebook filter for Quarto
nbdev_fix                 Create working notebook from conflicted notebook `nbname`
nbdev_help                Show help for all console scripts
nbdev_install             Install Quarto and the current library
nbdev_install_hooks       Install Jupyter and git hooks to automatically clean, trust, and fix merge conflicts in notebooks
nbdev_install_quarto      Install latest Quarto on macOS or Linux, prints instructions for Windows
nbdev_merge               Git merge driver for notebooks
nbdev_migrate             Convert all markdown and notebook files in `path` from v1 to v2
nbdev_new                 Create an nbdev project.
nbdev_prepare             Export, test, and clean notebooks, and render README if needed
nbdev_preview             Preview docs locally
nbdev_proc_nbs            Process notebooks in `path` for docs rendering
nbdev_pypi                Create and upload Python package to PyPI
nbdev_readme              Create README.md from readme_nb (index.ipynb by default)
nbdev_release_both        Release both conda and PyPI packages
nbdev_release_gh          Calls `nbdev_changelog`, lets you edit the result, then pushes to git and calls `nbdev_release_git`
nbdev_release_git         Tag and create a release in GitHub for the current version
nbdev_requirements        Writes a `requirements.txt` file to `directory` based on settings.ini.
nbdev_sidebar             Create sidebar.yml
nbdev_test                Test in parallel notebooks matching `path`, passing along `flags`
nbdev_trust               Trust notebooks matching `fname`
nbdev_update              Propagate change in modules matching `fname` to notebooks that created them
nbdev_update_license      Allows you to update the license of your project.

FAQ

Q: What is the warning “Found a cell containing mix of imports and computations. Please use separate cells”?

A: You should not have cells that are not exported, and contain a mix of import statements along with other code. For instance, don’t do this in a single cell:

import some_module
some_module.something()

Instead, split this into two cells, one which does import some_module, and the other which does some_module.something().

The reason for this is that when we create your documentation website, we ensure that all of the signatures for functions you document are up to date, by running the imports, exported cells, and show_doc functions in your notebooks. When you mix imports with other code, that other code will be run too, which can cause errors (or at least slowdowns) when creating your website.

Q: Why is nbdev asking for root access? How do I install Quarto without root access?

A: When you setup your first project, nbdev will attempt to automatically download and install Quarto for you. This is the program that we use to create your documentation website.

Quarto’s standard installation process requires root access, and nbdev will therefore ask for your root password during installation. For most people, this will work fine and everything will be handled automatically – if so, you can skip over the rest of this section, which talks about installing without root access.

If you need to install Quarto without root access on Linux, first cd to wherever you want to store it, then download Quarto, and type:

dpkg -x quarto*.deb .
mv opt/quarto ./
rmdir opt
mkdir -p ~/.local/bin
ln -s "$(pwd)"/quarto/bin/quarto ~/.local/bin

To use this non-root version of Quarto, you’ll need ~/.local/bin in your PATH environment variable. (Alternatively, change the ln -s step to place the symlink somewhere else in your path.)

Q: Someone told me not to use notebooks for “serious” software development!

A: Watch this video. Don’t worry, we still get this too, despite having used nbdev for a wide range of “very serious” software projects over the last three years, including deep learning libraries, API clients, Python language extensions, terminal user interfaces, and more!

Contributing

If you want to contribute to nbdev, be sure to review the contributions guidelines. This project adheres to fastai’s code of conduct. By participating, you are expected to uphold this code. In general, we strive to abide by generally accepted best practices in open-source software development.

Make sure you have nbdev’s git hooks installed by running nbdev_install_hooks in the cloned repository.

Copyright

Copyright © 2019 onward fast.ai, Inc. Licensed under the Apache License, Version 2.0 (the “License”); you may not use this project’s files except in compliance with the License. A copy of the License is provided in the LICENSE file in this repository.

Metadata

Release files for nbdev-simonkeys 2.3.35

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for nbdev-simonkeys 2.3.35
File Size Uploaded Provenance Actions
nbdev_simonkeys-2.3.35.tar.gz 66.4 kB Without provenance Details for nbdev_simonkeys-2.3.35.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for nbdev-simonkeys 2.3.35
File Interpreter ABI Platform Actions
nbdev_simonkeys-2.3.35-py3-none-any.whl Python 3 none any Details for nbdev_simonkeys-2.3.35-py3-none-any.whl

Total release size: 135.8 kB

Release files / nbdev_simonkeys-2.3.35.tar.gz

Download URL nbdev_simonkeys-2.3.35.tar.gz
Size 66.4 kB
Tags Source
SHA-256 checksum
How to use checksums
1fb0c83f3336c742006c306d23bf49b271ae84480af1aa12258c43de29ea4897
BLAKE2b-256 checksum
How to use checksums
05ec45e5529ab947d6bf02ab4106b80d690a29086e1b8aab6014f7428256c0aa
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.9.20

Release files / nbdev_simonkeys-2.3.35-py3-none-any.whl

Download URL nbdev_simonkeys-2.3.35-py3-none-any.whl
Size 69.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
6a2e0a11368c97eeff8f45599444e1796b732e98012a67412f76e81dd8209cc3
BLAKE2b-256 checksum
How to use checksums
c5a57deb19ed22ebfa4f8e95fadb7bb6ab5b7e54a78d1e4c4d4d2aa78603254b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.9.20

Security for nbdev-simonkeys 2.3.35

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page