Skip to main content

Run any Python code quality tool on a Jupyter Notebook!

Project description

logo

nbQA

image image image image image image image image image image image All Contributors

demo

Adapter to run any standard code-quality tool on a Jupyter notebook. Documentation is hosted here.

Installation

Install nbqa with pip:

pip install -U nbqa

Examples

Reformat your notebook with black:

$ nbqa black my_notebook.ipynb --line-length=96 --nbqa-mutate
reformatted my_notebook.ipynb
All done!  🍰 1 files reformatted.

Sort your imports with isort:

$ nbqa isort my_notebook.ipynb --treat-comment-as-code='# %%' --nbqa-mutate
Fixing my_notebook.ipynb

Check your type annotations with mypy:

$ nbqa mypy my_notebook.ipynb --ignore-missing-imports
my_notebook.ipynb:cell_10:5: error: Argument "num1" to "add" has incompatible type "str"; expected "int"

Run your docstring tests with doctest:

$ nbqa doctest my_notebook.ipynb
**********************************************************************
File "my_notebook.ipynb", cell_2:11, in my_notebook.add
Failed example:
    add(2, 2)
Expected:
    4
Got:
    5
**********************************************************************
1 items had failures:
1 of   2 in my_notebook.hello
***Test Failed*** 1 failures.

Configuration

Here's an example .nbqa.ini file - see configuration for more on configuration:

[isort]
config = setup.cfg
mutate = 1
addopts = --treat-comment-as-code '# %%%%'

[flake8]
config = setup.cfg

Usage as pre-commit hook

If you want to use nbqa with pre-commit, here's an example of what you could add to your .pre-commit-config.yaml file:

- repo: https://github.com/nbQA-dev/nbQA
  rev: 0.1.30
  hooks:
    - id: nbqa
      args: ["flake8"]
      name: nbqa-flake8
      alias: nbqa-flake8
      additional_dependencies: ["flake8"]
    - id: nbqa
      args: ["isort", "--nbqa-mutate"]
      name: nbqa-isort
      alias: nbqa-isort
      additional_dependencies: ["isort"]

Supported third party packages

In theory, nbqa can adapt any Python code-quality tool to a Jupyter Notebook.

In practice, here are the tools it's been tested with:

Contributing

I will give write-access to anyone who contributes anything useful (e.g. pull request / bug report) - see the contributing guide for details on how to do so.

Contributors ✨

Thanks goes to these wonderful people (emoji key):


Marco Gorelli

💻 🚧 👀 ⚠️ 🤔

Sebastian Weigand

🔧 👀 📖 🤔

Girish Pasupathy

💻 🚇 🐛 👀

fcatus

🚇

HD23me

🐛

This project follows the all-contributors specification. Contributions of any kind welcome!

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nbqa-0.1.30.tar.gz (21.2 kB view details)

Uploaded Source

Built Distribution

nbqa-0.1.30-py3-none-any.whl (20.0 kB view details)

Uploaded Python 3

File details

Details for the file nbqa-0.1.30.tar.gz.

File metadata

  • Download URL: nbqa-0.1.30.tar.gz
  • Upload date:
  • Size: 21.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.8.2

File hashes

Hashes for nbqa-0.1.30.tar.gz
Algorithm Hash digest
SHA256 ae1a1edf8377681a7e9080be49fc731324a19a34166f3d9375e1665b8252138f
MD5 bcba2979eb7b1acd1ed968f21ba91f3e
BLAKE2b-256 467beb9b0677dfd13233b69ae38f37f9fd24d8f6618f6b3e74c5b75a92c7935e

See more details on using hashes here.

Provenance

File details

Details for the file nbqa-0.1.30-py3-none-any.whl.

File metadata

  • Download URL: nbqa-0.1.30-py3-none-any.whl
  • Upload date:
  • Size: 20.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.8.2

File hashes

Hashes for nbqa-0.1.30-py3-none-any.whl
Algorithm Hash digest
SHA256 c15b1ad52ccb479bc970a41829ddc95a7fa084b92d4845fb8891ee13093b4782
MD5 442ce36e27718d8ea8bb183c3f2d6389
BLAKE2b-256 723980a82812c17df07e4f87f70788c393a4e4d3a3bc9d04151f3f31867ab45d

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page