2025)¶

🎉 Highlights¶

In this release, we are excited to announce support for writing Iceberg tables and Parquet files, DataFrame GroupBy operations, and numerous other features. Refer to our documentation for a complete list of features now supported.

✨ New Features¶

Added Iceberg write support using DataFrame.to_iceberg(). Features include simple filesystem writes, partition spec, and sort order.
Support writing Parquet files using DataFrame.to_parquet().
Added support for simple filesystem reads in read_iceberg().
Support for DataFrame.groupby() with aggregate functions including sum, count, and max.
Support for DataFrameGroupBy and SeriesGroupBy aggregate()/agg().
Added 8 Series.str methods including str.extract() and str.split(), achieving Series.str method coverage of 96% (54 out of 56).
Added 5 Series reduction methods including Series.max() and Series.sum().
Support for pd.to_datetime() and timedelta types/methods.
Added top-level null check methods such as pd.isnull().
Support for Series sort_values().
Optimized support for sort_values() followed by head().
Support for DataFrame column renaming.
Support for arithmetic expression on DataFrames, e.g., df[“new_col”] = df[“A”] + df[“B”].
Support for bodo.pandas.DataFrame/Series constructors.
Support for filtering expressions on Series, e.g., s[s > 10].

🐛 Bug Fixes¶

Added fallback warnings for unsupported Series methods.
Improved DataFrame and Series expression support in filters and column assignments.

⚙️ Dependency Upgrades¶

Bodo now supports Python 3.13.
Removed many dependency version constraints.

2025.7.1¶

Minor release to fix a bug when reading Parquet files from S3.

2025.7.2¶

🎉 Highlights¶

Bodo is now available on conda-forge for all supported platforms.

✨ New Features¶

Bodo.pandas.read_iceberg_table for reading PyIceberg tables.
Added 8 Series.dt methods/accessors including dt.isocalendar().
Improve the performance of DataFrame.apply calls significantly in some cases.
Support na_action and kws in Series.map() JIT support.

🐛 Bug Fixes¶

Fixed a parallelism bug for distributing in-memory dataframes.
Fixed issues with repeated sub-plans in join sides.
Fixed memory leaks when distributing Pandas dataframes for plan execution.

⚙️ Dependency Upgrades¶

Upgraded zstd, boost, aws-sdk-cpp and pyarrow dependencies.

2025.7.3¶

Minor release to re-enable Python 3.9 support.

2025.7.4¶

✨ New Features¶

Updated quickstart Iceberg docs to use the dataframe library in examples.
Support series.mean in dataframe library.
Support s3a paths in Iceberg IO.

⚙️ Dependency Upgrades¶

Removed maximum Python version restriction.