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README.md

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-# Phase-space sampling of large datasets [![UIPS-CI](https://github.com/NREL/Phase-space-sampling/actions/workflows/ci.yml/badge.svg)](https://github.com/NREL/Phase-space-sampling/actions/workflows/ci.yml)
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+# Phase-space sampling of large datasets [![UIPS-CI](https://github.com/NREL/Phase-space-sampling/actions/workflows/ci.yml/badge.svg)](https://github.com/NREL/Phase-space-sampling/actions/workflows/ci.yml) [![UIPS-pypi](https://badge.fury.io/py/uips.svg)](https://badge.fury.io/py/uips) 
 ## Installation for NREL HPC users
 1. `module load openmpi/4.1.0/gcc-8.4.0`
 2. `conda activate /projects/mluq/condaEnvs/uips`
@@ -96,6 +95,14 @@ Input file is provided in `inputs/highdim/input11D`
 
 The folder `data-efficientML` is NOT necessary for using the phase-space sampling package. It only contains the code necessary to reproduce the results shown in the paper:
 
+## Formatting [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) [![Imports: isort](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)](https://pycqa.github.io/isort/)
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+Code formatting and import sorting are done automatically with `black` and `isort`. 
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+Fix imports and format : `pip install black isort; bash fixFormat.sh`
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+Spelling is checked but not automatically fixed using `codespell`
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 ## Reference
 
 [Published version (open access)](https://www.cambridge.org/core/journals/data-centric-engineering/article/uniforminphasespace-data-selection-with-iterative-normalizing-flows/E6212E3FCB5A7EE7B1399BA49667B84C)