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
Install
pip install casadi-fork
Adoption
Adoption
—Not published by PyPI
Not published
Popularity
—Not published by PyPI
Not published
Dependents
—Not published by PyPI
Not published
Maintenance
0.06
DerivedRelease cadence and recency, 0 to 1
Releases per year
365
1 version over its life
Growth by period
PyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.
7 days
—Not published by PyPI
Not published
30 days
—Not published by PyPI
Not published
90 days
—Not published by PyPI
Not published
1 year
—Not published by PyPI
Not published
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
v3.6.5
1 version
First published
JUL 18, 2024
Last release
JUL 18, 2024
2y 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
