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
- PERF: Consider whether to avoid partition.length() in the parquet dispatcher.
- TEST: windows ray CI: flaky segmentation fault and "Windows fatal exception: access violation"
- PERF: unnecessary (expensive) concat
- PERF: Deal with Ray's poor performance on data larger than 2 GiB on macOS
- TEST: test_to_stata is flaky in comparing file contents
- BUG: Axis apply that gives partitions mismatching metadata along complementary axis leaves dataframe in invalid state.
- PERF-#4494: Get partition widths/lengths in parallel instead of serially
- `loc` on MultiIndex row & column DataFrame returns wrong view of data
- Flaky test: Dask worker paused, causing race condition
- result_type behaviour in apply function is different from Pandas
- Docs
- Python not yet supported