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DataHaskell / dataframe

A fast, safe, and intuitive DataFrame library.

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Repository Overview (README excerpt)

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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. • Lets you opt into your preferred level of type safety: keep it lightweight for rapid exploration or lock it down completely for robust production pipelines. • 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. Features • Type-safe column operations with compile-time guarantees • Familiar, approachable API designed to feel easy coming from other languages. • Interactive REPL for data exploration and plotting. Quick start Browse through some examples in binder. Install See the Quick Start guide for setup and installation instructions. Example Documentation • 📚 User guide: https://dataframe.readthedocs.io/en/latest/ • 📖 API reference: https://hackage.haskell.org/package/dataframe/docs/DataFrame.html