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paccodes/dataframe

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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.

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A fast, safe, and intuitive DataFrame library.

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  • Haskell 96.7%
  • C 1.6%
  • Shell 0.6%
  • Python 0.6%
  • Elixir 0.4%
  • Nix 0.1%
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