TEST_EIGEN is a Python library which generates eigenvalue tests.
The current version of the code can only generate a symmetric or nonsymmetric matrix of arbitrary size, with eigenvalues distributed according to a normal distribution whose mean and standard deviation are specified by the user (subroutines R8SYMM_GEN and R8NSYMM_GEN).
The computer code and data files described and made available on this web page are distributed under the GNU LGPL license.
TEST_EIGEN is available in a C version and a C++ version and a FORTRAN90 version and a MATLAB version and a Python version.
JACOBI_EIGENVALUE, a Python library which implements the Jacobi iteration for the iterative determination of the eigenvalues and eigenvectors of a real symmetric matrix.
TEST_MAT, a Python library which defines test matrices.
You can go up one level to the Python source codes.