# Polars support

**URL:** <https://discourse.greatexpectations.io/t/polars-support/1822>\
**Category:** GX Core Support\
**Created:** [July 31, 2024, 9:08pm UTC](https://discourse.greatexpectations.io/t/polars-support/1822 "2024-07-31T21:08:55Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![shivaram.bollineni](https://avatars.discourse-cdn.com/v4/letter/s/91b2a8/32.png) [@shivaram.bollineni](https://discourse.greatexpectations.io/u/shivaram.bollineni)\
**Post date:** [July 31, 2024, 9:08pm UTC](https://discourse.greatexpectations.io/t/polars-support/1822/1 "2024-07-31T21:08:55Z")

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As the Polars DataFrame library ([https://pola.rs/](https://pola.rs/)) is gaining popularity, are there any plans to support Polars in Great Expectations?

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**Author:** ![adeola](https://avatars.discourse-cdn.com/v4/letter/a/b487fb/32.png) [@adeola](https://discourse.greatexpectations.io/u/adeola)\
**Post date:** [August 14, 2024, 4:29pm UTC](https://discourse.greatexpectations.io/t/polars-support/1822/2 "2024-08-14T16:29:32Z")

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Hi there @shivaram.bollineni and welcome to our community!

Thank you for your question. This is something on our radar but has not yet been prioritized.

In the meantime, I would like to share with you that pandas 2.0 supports polars interoperability. With pandas \> 2.0 installed, you can convert the polars df to a pandas df like this:

`pandas_df = polars_df.to_pandas()`

and the underlying in-memory storage (pyarrow format) does not change. I hope this is helpful to you in the meantime.