modin
https://github.com/modin-project/modin
Python
Modin: Scale your Pandas workflows by changing a single line of code
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- Issues
- BUG: `groupby.ngroup()` fails with experimental (reshuffling) groupby implementation
- BUG: Use the modin.dataframe().apply function to generate a large number of shmem
- BUG: Modin's dtypes cache contains invalid value after an unsuccessful cast (when `.astype(..., errors="ignore")`)
- In some cases `wait_partitions` does not work as expected
- TEST-#5903: Add third party unit tests for interoperability
- Add interoperability tests for third party libraries
- Precompute dtypes and columns cache for groupby results
- Reduce the amount of remote calls when reshuffling partitions
- UserWarning: Distributing <class 'list'> object. This may take some time. Traceback (most recent call last):
- Support partitioned parquet files
- Docs
- Python not yet supported