Hackage :: [Package]

dataframe: A fast, safe, and intuitive DataFrame library.

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Versions [RSS] 0.1.0.0, 0.1.0.1, 0.1.0.2, 0.1.0.3, 0.2.0.0, 0.2.0.1, 0.2.0.2, 0.3.0.0, 0.3.0.1, 0.3.0.2, 0.3.0.3, 0.3.0.4, 0.3.1.1, 0.3.1.2, 0.3.2.0, 0.3.3.0, 0.3.3.1, 0.3.3.2
Change log CHANGELOG.md
Dependencies array (>=0.5 && <0.6), attoparsec (>=0.12 && <0.15), base (>=4 && <5), bytestring (>=0.11 && <0.13), bytestring-lexing (>=0.5 && <0.6), containers (>=0.6.7 && <0.9), dataframe (>=0.3 && <0.4), directory (>=1.3.0.0 && <2), granite (>=0.3 && <0.4), hashable (>=1.2 && <2), process (>=1.6 && <1.7), random (>=1 && <2), snappy-hs (>=0.1 && <0.2), template-haskell (>=2.0 && <3), text (>=2.0 && <3), time (>=1.12 && <2), vector (>=0.13 && <0.14), vector-algorithms (>=0.9 && <0.10), zstd (>=0.1.2.0 && <0.2) [details]
Tested with ghc ==9.4.8 || ==9.6.7 || ==9.8.4 || ==9.10.3 || ==9.12.2
License GPL-3.0-or-later
Copyright (c) 2024-2025 Michael Chavinda
Author Michael Chavinda
Maintainer mschavinda@gmail.com
Category Data
Bug tracker https://github.com/mchav/dataframe/issues
Source repo head: git clone https://github.com/mchav/dataframe
Uploaded by mchav at 2025-10-08T17:55:51Z
Distributions NixOS:0.1.0.3, Stackage:0.3.3.2
Reverse Dependencies 1 direct, 0 indirect [details]
Executables dataframe
Downloads 132 total (47 in the last 30 days)
Rating (no votes yet) [estimated by Bayesian average]
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Status Docs available [build log]
Last success reported on 2025-10-08 [all 1 reports]

Readme for dataframe-0.3.3.2

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hackage Latest Release C/I

User guide | Discord

DataFrame

A fast, safe, and intuitive DataFrame library.

Why use this DataFrame library?

  • Encourages concise, declarative, and composable data pipelines.
  • Static typing makes code easier to reason about and catches many bugs at compile time—before your code ever runs.
  • Delivers high performance thanks to Haskell’s optimizing compiler and efficient memory model.
  • Designed for interactivity: expressive syntax, helpful error messages, and sensible defaults.
  • Works seamlessly in both command-line and notebook environments—great for exploration and scripting alike.

For an installation guide and tutorials checkout the project documentation and for an API reference checkout the hackage documentation.