# dataframe

- Page: https://shared.btbytes.com/p/dataframe
- Date: 2023-06-08
- Tags: dataframe

[Why Are There So Many Python Dataframes?](http://web.archive.org/web/20230918205819/https://ponder.io/why-are-there-so-many-python-dataframes/)

> pandas/Modin, Polars, RAPIDS cuDF, Ibis, Snowpark Dataframes, Vaex, Dask, PySpark, Daft, BigQuery Dataframes, etc.

> Dataframe users and maintainers think of dataframes in at least four ways — as spreadsheets, as queries on relational databases, as 2D arrays/matrices, and as objects.



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- [Introducing Daft: A High-Performance Distributed Dataframe Library for Multimodal Data](https://blog.getdaft.io/p/introducing-daft-a-high-performance)