dataframe-parquet

Parquet reader and writer for the dataframe ecosystem.

Stackage Nightly 2026-11-12:	1.6.1.0
Latest on Hackage:	1.6.1.0

See all snapshots dataframe-parquet appears in

MIT licensed by Michael Chavinda

Maintained by [email protected]

This version can be pinned in stack with:dataframe-parquet-1.6.1.0@sha256:e87b1ba07636ec61c9cfb8577bb676a31735dbce4cb1ddc4ee989a30ec3a3252,5625

Module documentation for 1.6.1.0

DataFrame
- DataFrame.IO
  - DataFrame.IO.Parquet
  - DataFrame.IO.Utils
    - DataFrame.IO.Utils.RandomAccess
- DataFrame.Typed
  - DataFrame.Typed.IO
    - DataFrame.Typed.IO.Parquet

Depends on 19 packages(full list with versions):

base, bytestring, containers, dataframe-core, dataframe-operations, dataframe-parquet, dataframe-parsing, directory, filepath, Glob, pinch, primitive, snappy-hs, temporary, text, time, vector, zlib, zstd

Used by 4 packages in nightly-2026-11-12(full list with versions):

dataframe, dataframe-lazy, dataframe-parquet, dataframe-parquet-th

DataFrame.IO.Parquet — pure-Haskell Parquet 2.0 reader and writer (with snappy, zstd, gzip codecs, dictionary decoding, nested list/repeated columns, and predicate pushdown). Heavy package — pulls in pinch and compression codecs. Reading directly from HuggingFace (hf://) datasets lives in the separate dataframe-huggingface package. Most users want dataframe-csv instead unless they specifically need Parquet.