GoKawiilDataHaskell/Dataframe adds native Parquet writer
The DataHaskell/Dataframe library now includes a writeParquet function that lets users export a dataframe directly to a Parquet file using default row group and page sizes. A writeParquetWithOptions variant is also provided for developers who want finer control over those settings.
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Parquet's columnar, compressed format is widely used across data science tools, so native support could make Haskell dataframes easier to integrate into existing data pipelines that previously relied on CSV or JSON. The developers suggest this reduces reliance on slower, less interoperable formats, potentially broadening Haskell's appeal for data-heavy workloads.
- writeParquet offers a simple one-line way to export dataframes to Parquet with sensible defaults.
- writeParquetWithOptions allows customization of row group and page sizes for advanced use cases.
- The addition aims to improve interoperability between Haskell and the broader data science ecosystem, which commonly uses Parquet.
Source: datahaskell.org, 2026-09-22
Published there as: “Writing Parquet files using Haskell”
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