Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work
PyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.
7 days
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1 year
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Adoption history
Adoption history
PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.
Facts from the registry
Latest version
v3.8.1
32 versions
First published
APR 9, 2017
Last release
SEP 16, 2026
39d ago
Licence
GNU Lesser General Public License v3 or later (LGPLv3+)
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, Matlab/Octave, Julia or Javascript
