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This packages changes how Pandas and Polars DataFrames are rendered in Python notebooks and applications. With itables you can display your tables as interactive DataTables that you can sort, paginate, scroll or filter.

ITables is just about how tables are displayed. You can turn it on and off in just two lines, with no other impact on your data workflow.

The itables package only depends on numpy, pandas and IPython which you must already have if you work with Pandas in Jupyter (add polars, pyarrow if you work with Polars DataFrames).

Documentation

Browse the documentation to see examples of Pandas or Polars DataFrames rendered as interactive DataTables.

Quick start

Install the itables package with either

pip install itables

or

conda install itables -c conda-forge

Activate the interactive mode for all series and dataframes in Jupyter with

import itables

itables.init_notebook_mode()

and then render any DataFrame as an interactive table that you can sort, search and explore: df

If you prefer to render only selected DataFrames as interactive tables, call itables.init_notebook_mode(all_interactive=False), then use itables.show to show just one Series or DataFrame as an interactive table: show

ITables in Notebooks

ITables works in all the usual Jupyter Notebook environments, including Jupyter Notebook, Jupyter Lab, Jupyter nbconvert (i.e. the tables are still interactive in the HTML export of a notebook), Jupyter Book, Google Colab and Kaggle.

You can also use ITables in Quarto HTML documents, and in RISE presentations.

ITables works well in VS Code, both in Jupyter Notebooks and in interactive Python sessions.

ITables in Python applications

ITables is also available as

Licence

ITables is developed by Marc Wouts on GitHub, under a MIT license.

ITables is a wrapper for datatables.net which is developed by Allan Jardine (sponsor him!), also under a MIT license.

Project links

Data verified by PyPI on May 12, 2025
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

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  • Released:
Newer release available (2.9.1)

1 maintainer

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Avatar for mwouts from gravatar.com mwouts

Credits

Author/Maintainer: Marc Wouts

GitHub Statistics

Data verified by PyPI on May 12, 2025
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

MIT License (MIT License)

Requires

Python >=3.9

Provides Extra

all check-type dev polars samples style test widget

Tags

DataTables Interactive Javascript Pandas Polars

Classifiers

Report project as malware

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