Scientific Computing - racket/racket GitHub Wiki

This page lists Racket projects related to applications in science and engineering. Each section also has a wish list where you can add things that you would like to see developed.

Racket supports a wide variety of applied mathematics, including simulation, statistical inference, signal processing, and combinatorics. The Mathematical visualisation (Plot) library provides a flexible interface for interactive scatter plots, line plots, contour plots, histograms, and 3D surfaces and isosurfaces.

File formats, basic data processing

  • Wish list
  • HDF5. As powerful and flexible as h5py for Python.

Machine learning

Chemistry

  • The MOSAIC data model for molecular simulations

Numerical