High performance dataframes with Django ORM integration.
Project description
django-polars
Like django-pandas but way faster, with support for parallel DataFrame processing and larger-than-memory DataFrame processing.
Uses polars under the hood.
Usage
Head over to test code in tests/test_*.
Conceptually polars differs from pandas.
E.g. polars does not have a multi-index/index
and a different behavior w.r.t. missing data.
As a consequence django-polars will not be API-compatible with django-pandas.
Refer to the migration from pandas user guide for more information.
Limitations
- Reading a
DataFrameviadjango_polars.io.read_frame(...)with an asynchronous connection is unstable ATM.
Contribution
We appreciate contributions.
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