SPARSE_GRID is a library of PYTHON classes and functions useful for sparse grid calculations.
The code as presented here is incomplete. In particular, the test routine does not have enough information to be used.
Jochen Garcke
QUADRATURE_RULES is a dataset directory of files that define quadrature rules; a number of examples of sparse grid quadrature rules are included.
SMOLPACK is a C library of routines which implements Novak and Ritter's method for estimating the integral of a function over a multidimensional hypercube using sparse grids.
SPARSE_GRID_CC some sample sparse grids from the Clenshaw Curtis rule.
SPARSE_GRID_DISPLAY is a library of MATLAB routines which can display a sparse grid in 2D or 3D.
SPARSE_GRID_F1 some sample sparse grids from the Fejer Type 1 rule.
SPARSE_GRID_F2 some sample sparse grids from the Fejer Type 2 rule.
SPARSE_GRID_GP some sample sparse grids from the Gauss Patterson rule.
SPARSE_GRID_NCC some sample sparse grids from the Newton Cotes Closed rule.
SPARSE_GRID_NCO some sample sparse grids from the Newton Cotes Open rule.
SPARSE_GRID_NCOH some sample sparse grids from the Newton Cotes Open Half rule.
SPINTERP is a MATLAB library of routines by Andreas Klimke which use a sparse grid to perform multilinear hierarchical interpolation.
You can go up one level to the PYTHON source codes.