CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

starsStars 666
forksForks 194
watchersWatchers 666
current-versionCurrent version 3.5.5
total-releasesTotal releases 62
open_issues_countOpen issues 520
dateFirst release 2014-01-02
dateLatest release 2020-09-05
updateLast update 2020-12-23