title: Expokit realization on Python
body: <p>I am looking for a Pythonic realization of <strong>Expokit</strong>, which is a software package that provides matrix exponential routines for small dense or very large sparse matrices, real or complex, i.e. it finds</p>
  
  <pre><code>w(t) = exp(t*A)*v
  </code></pre>
  
  <p>This package had been realized in Fortran and Matlab and can be found here <a href="https://www.maths.uq.edu.au/expokit/" rel="nofollow noreferrer">https://www.maths.uq.edu.au/expokit/</a></p>
  
  <p>I have found a python wrapper <strong>expokitpy</strong>
   <a href="https://github.com/weinbe58/expokitpy" rel="nofollow noreferrer">https://github.com/weinbe58/expokitpy</a> and a Krylov subspace methods package <strong>KryPy</strong> <a href="https://krypy.readthedocs.io/en/latest/" rel="nofollow noreferrer">https://github.com/andrenarchy/krypy</a>. Both seem to be relevant, however neither of them goes with good enough documentation (for me) to do time-evolution.</p>
  
  <p>Does somebody have a working solution with the packages mentioned above or similar?</p>