AutoProfiler

PyPi Binder Lite

Profile your Pandas Dataframes! Autoprofiler will automatically visualize your Pandas dataframes after every execution, no extra code necessary.

Autoprofiler allows you to spend less time specifying charts and more time interacting with your data by automatically showing you profiling information like:

  • Distribution of each column
  • Sample values
  • Summary statistics

Updates profiles as your data updates

screenshot of Autoprofiler

Autoprofiler reads your current Jupyter notebook and produces profiles for the Pandas Dataframes in your memory as they change.

demo of Autoprofiler

Install

To instally locally use pip and then open a jupyter notebook and the extension will be running.

pip install -U digautoprofiler

Try it out

To try out Autoprofiler in a hosted notebook, use one of the options below

Jupyter Lite Binder
Lite Binder

Requirements

  • JupyterLab >= 3.0
  • Pandas

For development install instructions, see CONTRIBUTING.md.

If you're having install issues, see TROUBLESHOOTING.md.

Acknowledgements

Big thanks to the Rill Data team! Much of our profiler UI code is from Rill Developer.

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (3.0.1)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for willepperson from gravatar.com willepperson

Credits

Author: Will Epperson

License

BSD License (BSD-3-Clause)

Requires

Python >=3.7

Tags

Jupyter JupyterLab JupyterLab3

Classifiers

Report project as malware

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3.0.1

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1.0.2

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1.0.1

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1.0.0

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0.2.10

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0.2.9

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0.2.8

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0.2.7

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0.2.6

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0.2.5

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0.2.4

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0.2.3

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0.2.2

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0.2.1

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0.2.0

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0.1.9

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This release

0.1.8 This release

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