SciHS Documentation

The purpose of this repository is document the existing support for numerical computing and data science in the Haskell ecosystem.

NB: This effort has just begun, so there is precious little material so far. We will extend it over time and warmly welcome any contributions from the community. We are interested in original contributions in this repository (tutorials, API documentation, sample applications, etc). We are also interested in link collections to external resources on numerical computing and data science in the Haskell.

Tweag I/O blog post series on array programming

Tweag I/O is currently running a series of blog post that provides an overview over the array programming support in Haskell — with a focus on well maintained packages that have seen an uptake by the community.

• Array programming in Haskell — overview over the most widely used array packages
• Enter the matrix, Haskell style — hmatrix provides BLAS, LAPACK & GSL functionality in Haskell
• Immutability and unboxing in array programming — array provides a basic array interface for boxed/unboxed and immutable/mutable arrays with generic indexing
• Array fusion with vector — vector provides collective operations for sequential, int-indexed boxed & unboxed arrays

Some people working in this space

Marco Zocca
Carter Schonwald

Tools

Project	Description
hmatrix	Matrix operations in Haskell
Frames	Data frames in Haskell
grenade	Deep learning
numerical	pre-alpha numerical package
ad	Automatic differentiation
jupyter	Notebook-style web app for working with data
haskell.do	Notebook-style web thing for Haskell
hakaru	Probabilistic programming

Other groups

Data Haskell: Open source community around doing data science in Haskell

Books

Haskell data analysis cookbook

Learning Haskell data analysis