dataframe-core

Core data structures for the dataframe library.

Stackage Nightly 2026-10-21:	2.6.0.0
Latest on Hackage:	2.6.0.0

See all snapshots dataframe-core appears in

MIT licensed by Michael Chavinda

Maintained by [email protected]

This version can be pinned in stack with:dataframe-core-2.6.0.0@sha256:6c4328acfa3c36d35d2b741e2a91a1e78fed6b6afe7b9837302345af5548599f,4726

Module documentation for 2.6.0.0

DataFrame
- DataFrame.Core
- DataFrame.Display
  - DataFrame.Display.Terminal
    - DataFrame.Display.Terminal.Colours
    - DataFrame.Display.Terminal.PrettyPrint
- DataFrame.Errors
- DataFrame.Expression
  - DataFrame.Expression.Operators
- DataFrame.Internal
  - DataFrame.Internal.Aggregation
  - DataFrame.Internal.Algorithms
    - DataFrame.Internal.Algorithms.Hash
    - DataFrame.Internal.Algorithms.Rank
      - DataFrame.Internal.Algorithms.Rank.Radix
    - DataFrame.Internal.Algorithms.Sort
      - DataFrame.Internal.Algorithms.Sort.Radix
        DataFrame.Internal.Algorithms.Sort.Radix.Parallel
  - DataFrame.Internal.Column
  - DataFrame.Internal.Control
    - DataFrame.Internal.Control.Concurrent
  - DataFrame.Internal.Data
    - DataFrame.Internal.Data.HashTable
    - DataFrame.Internal.Data.PackedText
      - DataFrame.Internal.Data.PackedText.Utf8
  - DataFrame.Internal.DataFrame
  - DataFrame.Internal.Display
    - DataFrame.Internal.Display.Pretty
  - DataFrame.Internal.Expression
  - DataFrame.Internal.Grouping
    - DataFrame.Internal.Grouping.Direct
    - DataFrame.Internal.Grouping.Partitioned
  - DataFrame.Internal.Interpreter
    - DataFrame.Internal.Interpreter.Kernels
  - DataFrame.Internal.Row
    - DataFrame.Internal.Row.RowHash
- DataFrame.Typed

Depends on 6 packages(full list with versions):

base, containers, primitive, random, text, vector

Used by 13 packages in nightly-2026-10-21(full list with versions):

dataframe, dataframe-csv, dataframe-expr-serializer, dataframe-fastcsv, dataframe-json, dataframe-lazy, dataframe-learn, dataframe-operations, dataframe-parquet, dataframe-parquet-th, dataframe-parsing, dataframe-th, dataframe-viz

Minimal interchange-format types for the dataframe ecosystem: Column, DataFrame, Bitmap, the untyped expression/interpreter, and the typed-schema phantom layer. Contains no Template Haskell and no file I/O. Lightweight dependency footprint (base, vector, containers, time, random, bytestring, text) so other packages can exchange dataframes by-value without pulling in the full dataframe package.