@hackage dataframe0.3.3.5
A fast, safe, and intuitive DataFrame library.
Installation
Tested Compilers
Dependencies (20)
- array >=0.5.4.0 && <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 Show all…
Dependents (6)
@hackage/dataframe-hasktorch, @hackage/dataframe-fastcsv, @hackage/dataframe-persistent, @hackage/ihaskell-dataframe, @hackage/symbolic-regression, @hackage/hanalyze
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.