  We present SpM, a sparse modeling tool for the analytic continuation of
imaginary-time Green's function, licensed under GNU General Public License
version 3. In quantum Monte Carlo simulation, dynamic physical quantities such
as single-particle and magnetic excitation spectra can be obtained by applying
analytic continuation to imaginary-time data. However, analytic continuation is
an ill-conditioned inverse problem and thus sensitive to noise and statistical
errors. SpM provides stable analytic continuation against noise by means of a
modern regularization technique, which automatically selects bases that contain
relevant information unaffected by noise. This paper details the use of this
program and shows some applications.
