Project: nbqa

Run any standard Python code quality tool on a Jupyter Notebook

Project Details

Latest version
1.7.1
Home Page
https://github.com/nbQA-dev/nbQA
PyPI Page
https://pypi.org/project/nbqa/

Project Popularity

PageRank
0.004522701877923701
Number of downloads
78406

nbQA

Run ruff, isort, pyupgrade, mypy, pylint, flake8, black, blacken-docs, and more on Jupyter Notebooks

tox codecov pre-commit

versions chat docs

downloads

demo

  • βœ… handles IPython magics robustly
  • βœ… respects your config files
  • βœ… preserves "quiet mode" trailing semicolons
  • βœ… lints both code and markdown cells

Table of contents

πŸŽ‰ Installation

In your virtual environment, run (note: the $ is not part of the command):

$ python -m pip install -U nbqa

To also install all supported linters/formatters:

$ python -m pip install -U "nbqa[toolchain]"

πŸš€ Examples

Command-line

Reformat your notebooks with black:

$ nbqa black my_notebook.ipynb
reformatted my_notebook.ipynb
All done! ✨ 🍰 ✨
1 files reformatted.

Sort your imports with isort:

$ nbqa isort my_notebook.ipynb --float-to-top
Fixing my_notebook.ipynb

Upgrade your syntax with pyupgrade:

$ nbqa pyupgrade my_notebook.ipynb --py37-plus
Rewriting my_notebook.ipynb

Format your markdown cells with blacken-docs:

$ nbqa blacken-docs my_notebook.ipynb --nbqa-md --nbqa-diff
Cell 2
------
--- my_notebook.ipynb
+++ my_notebook.ipynb
@@ -1,2 +1 @@
-First level heading
-===
+# First level heading

To apply these changes, remove the `--nbqa-diff` flag

Format .md files saved via Jupytext (requires jupytext to be installed):

$ nbqa black my_notebook.md
reformatted my_notebook.md
All done! ✨ 🍰 ✨
1 files reformatted.

See command-line examples for examples involving doctest, flake8, mypy, pylint, autopep8, pydocstyle, yapf, and ruff.

Pre-commit

Here's an example of how to set up some pre-commit hooks: put this in your .pre-commit-config.yaml file (see usage as pre-commit hook)

- repo: https://github.com/nbQA-dev/nbQA
  rev: 1.7.1
  hooks:
    - id: nbqa-black
      additional_dependencies: [jupytext]  # optional, only if you're using Jupytext
    - id: nbqa-pyupgrade
      args: ["--py37-plus"]
    - id: nbqa-isort
      args: ["--float-to-top"]

If you need to select specific versions of these linters/formatters, add them to additional_dependencies.

πŸ₯³ Used by

Click here for (non-exhaustive) list of repos
  • https://github.com/ComPWA/ampform
  • https://github.com/ComPWA/tensorwaves
  • https://github.com/DataS-DHSC/os-maps-example
  • https://github.com/Eazhi/World-Happiness-Analysis
  • https://github.com/GoogleCloudPlatform/ai-platform-samples
  • https://github.com/MRCIEU/epigraphdb
  • https://github.com/OpenMined/PyDP
  • https://github.com/PlasmaPy/PlasmaPy
  • https://github.com/ProjectPythia/pythia-foundations
  • https://github.com/SeldonIO/alibi
  • https://github.com/TeoZosa/deep-learning-v2-pytorch
  • https://github.com/WM-SEMERU/mlproj_template
  • https://github.com/alan-turing-institute/sktime
  • https://github.com/amor71/LiuAlgoTrader
  • https://github.com/bbernst/base_envs
  • https://github.com/cheginit/HyRiver-examples
  • https://github.com/cheginit/pygeohydro
  • https://github.com/cheginit/pynhd
  • https://github.com/covid-19-impact-lab/sid-germany
  • https://github.com/covid-19-impact-lab/sid
  • https://github.com/dapperfu/Python-Simulink
  • https://github.com/deepcharles/ruptures
  • https://github.com/dhassault/cyclegan_pytorch
  • https://github.com/gboeing/osmnx
  • https://github.com/glotzerlab/freud-examples
  • https://github.com/glotzerlab/hoomd-examples
  • https://github.com/glotzerlab/signac-docs
  • https://github.com/glotzerlab/signac-examples
  • https://github.com/grapl-security/grapl
  • https://github.com/hainegroup/oceanspy
  • https://github.com/henryiii/python-compiled-minicourse
  • https://github.com/intake/intake-esm
  • https://github.com/jameslamb/lightgbm-dask-testing
  • https://github.com/jdb78/pytorch-forecasting
  • https://github.com/jhrcook/advent-of-code_2020
  • https://github.com/julian-west/asset_price_correlations
  • https://github.com/kratsg/drstorage
  • https://github.com/madebr/pyOpt
  • https://github.com/matthewfeickert/heputils
  • https://github.com/matyama/deep-rl-hands-on
  • https://github.com/mayou36/raredecay
  • https://github.com/neomatrix369/nlp_profiler
  • https://github.com/openforcefield/openff-system
  • https://github.com/pandas-profiling/pandas-profiling
  • https://github.com/paw-lu/dotfiles
  • https://github.com/pawamoy/wps-light
  • https://github.com/phinate/clarinet
  • https://github.com/pik-primap/climate_categories
  • https://github.com/pik-primap/primap2
  • https://github.com/pik-primap/unfccc_di_api
  • https://github.com/pymc-devs/pymc-examples
  • https://github.com/pymc-devs/resources
  • https://github.com/saturncloud/examples
  • https://github.com/scikit-hep/boost-histogram
  • https://github.com/scikit-hep/iminuit
  • https://github.com/scikit-hep/mplhep
  • https://github.com/scikit-hep/pyhf
  • https://github.com/scikit-hep/pylhe
  • https://github.com/v-goncharenko/data-science-template
  • https://github.com/wemake-services/wemake-python-styleguide
  • https://github.com/zfit/phasespace
  • https://github.com/zfit/zfit
  • https://github.com/zfit/zfit-physics
  • https://github.com/zfit/zfit-tutorials

Is your project missing? Let us know, or open a pull request!

πŸ’¬ Testimonials

Michael Kennedy & Brian Okken, hosts of the Python Bytes podcast:

This is really cool. I think it brings so much of the code formatting and code analysis, clean up to notebooks, which I think had been really lacking

Nikita Sobolev, CTO at wemake.services:

It is amazing!

Alex Andorra, Data Scientist, ArviZ & PyMC Dev, Host of 'Learning Bayesian Statistics' Podcast:

well done on nbqa @MarcoGorelli ! Will be super useful in CI

Matthew Feickert, Postdoc at University of Illinois working on LHC physics:

nbqa in your pre-commit hooks along with @codewithanthony 's pre-commit CI service is amazing! Everyone using Jupyter notebooks should be doing this.

Girish Pasupathy, Software engineer and now core-contributor:

thanks a lot for your effort to create such a useful tool

Simon Brugman, Data scientist & pandas-profiling dev:

nbQA helps us to keep notebooks to the same standards as the rest of the code. If you're serious about your code standards, you should keep them consistent across both notebooks and python scripts. Great addition to the ecosystem, thanks!

Bradley Dice, PhD Candidate in Physics & Scientific Computing:

nbqa is a clean, easy to use, and effective tool for notebook code style. Formatting and readability makes a huge difference when rendering notebooks in a project's documentation!

James Lamb, engineer @saturn_cloud, LightGBM maintainer

today I learned about nbqa, a command-line tool to run linters like flake8 over #Python code in @ProjectJupyter notebooks. Thanks to @jayyqi for pointing me to it. So far, I really really like it.

Lars Yencken, Tech Lead @ Our World In Data

Super useful! I only wish it was built-in to Jupyterlab.

Vincent D. Warmerdam, maintainer @ calmcode.io

Nice. nbQA looks like a great way to prevent the Untitled12.ipynb-phenomenon. I like!

Mani Sarkar, Kaggle 3x expert, contributor

nbQA is an inspiring project, and the team behind it are very knowledgeable and think of things outside the box with ideas and solutions

πŸ‘₯ Contributing

I will give write-access to anyone who makes a useful pull request - see the contributing guide for details on how to do so.

Thanks goes to these wonderful people (emoji key):

Marco Gorelli
Marco Gorelli

πŸ’» 🚧 πŸ‘€ ⚠️ πŸ€”
Sebastian Weigand
Sebastian Weigand

πŸ”§ πŸ‘€ πŸ“– πŸ€”
Girish Pasupathy
Girish Pasupathy

πŸ’» πŸš‡ πŸ› πŸ‘€ πŸ€”
fcatus
fcatus

πŸš‡
HD23me
HD23me

πŸ›
mani
mani

πŸ€” πŸš‡
Daniel Mietchen
Daniel Mietchen

πŸ€”
MichaΕ‚ Gacka
MichaΕ‚ Gacka

πŸ›
Happy
Happy

πŸ“–
Nat Taylor
Nat Taylor

πŸ€” πŸ’» πŸ”§ πŸ›
Caio Ariede
Caio Ariede

πŸ“–
Nikita Sobolev
Nikita Sobolev

πŸ€” πŸ› πŸ“–
Amichay Oren
Amichay Oren

πŸ€”
pylang
pylang

πŸ€”
Henry Schreiner
Henry Schreiner

πŸ›
Kaiqi Dong
Kaiqi Dong

πŸ“–
Simon Brugman
Simon Brugman

πŸ›
John Sandall
John Sandall

πŸ›
Nathan Cooper
Nathan Cooper

πŸ›
agruenberger
agruenberger

πŸ›
Rafal Wojdyla
Rafal Wojdyla

πŸ›
Bradley Dice
Bradley Dice

πŸ€” πŸ’»
Ivan Cheung
Ivan Cheung

πŸ›
Tony Hirst
Tony Hirst

πŸ›
Taneli Hukkinen
Taneli Hukkinen

🚧
Tom Begley
Tom Begley

πŸ€” πŸ’» πŸ“–
Steven DeMartini
Steven DeMartini

πŸ“–
vincent d warmerdam
vincent d warmerdam

βœ…
Daniel Sparing
Daniel Sparing

πŸ›
asdfCYBER
asdfCYBER

πŸ“–
Chris Knight
Chris Knight

πŸ›
Laura Richter
Laura Richter

πŸ€”
Francesco Ballarin
Francesco Ballarin

πŸ›
Janosh Riebesell
Janosh Riebesell

πŸ› πŸ“–
Nicolas Oliver
Nicolas Oliver

πŸ›
Bas Nijholt
Bas Nijholt

πŸ€”
Ralf Gommers
Ralf Gommers

πŸ€”
Toon Verstraelen
Toon Verstraelen

πŸ“–
Trinh Quoc Anh
Trinh Quoc Anh

πŸ›
Martin K. Scherer
Martin K. Scherer

πŸ’»
Felix Williams
Felix Williams

πŸ› πŸš‡
Florian BΓ€r
Florian BΓ€r

πŸ“–
Michael Kennedy
Michael Kennedy

πŸ”Š
Brian Okken
Brian Okken

πŸ”Š

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