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Scale your pandas workflow by changing a single line of code. Modin uses Ray, Dask or Unidist to provide an effortless way to speed up your pandas notebooks, scripts, and libraries. Unlike other distributed DataFrame libraries, Modin provides seamless integration and compatibility with existing pandas code. Even using the DataFrame constructor is identical. It is not necessary to know in advance the available hardware resources in order to use Modin. Additionally, it is not necessary to specify how to distribute or place data. Modin acts as a drop-in replacement for pandas, which means that you can continue using your previous pandas notebooks, unchanged, while experiencing a considerable speedup thanks to Modin, even on a single machine. Once you’ve changed your import statement, you’re ready to use Modin just like you would pandas.
Features
- Faster pandas, even on your laptop
- Scale your pandas workflow by changing a single line of code.
- Modin can handle the datasets that pandas can't
- Scale your pandas workflows by changing one line of code
- Modin is a DataFrame for datasets from 1MB to 1TB+
- Modin is currently under active development
Project Samples
