casadi

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. (by casadi)

Casadi Alternatives

Similar projects and alternatives to casadi

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better casadi alternative or higher similarity.

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casadi reviews and mentions

Posts with mentions or reviews of casadi. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-05.
  • pyomo VS casadi - a user suggested alternative
    2 projects | 5 Sep 2023
    Interface for several solvers and integrators.
  • (Direct) Collocation in (Time) Optimal Control
    1 project | /r/ControlTheory | 9 Dec 2022
    Howdy! Collocation methods can be... tricky. For NMPC control of vehicles, success has been had using direct multiple shooting. Also easier to implement and more intuitive. In fact, this example from the GH is pretty instructive: https://github.com/casadi/casadi/blob/master/docs/examples/python/race_car.py
  • Are there any optimization libraries/packages that use automatic differentiation?
    1 project | /r/optimization | 4 Nov 2021
    JuMP.jl (Julia) or casADi (Python) are good choices.
  • Should I switch over completely to Julia from Python for numerical analysis/computing?
    5 projects | /r/Julia | 8 Jul 2021
    Python is not mature in this area. If you ask Google what Simulink for Python is, you get responses that point to dead libraries that were never feature complete and slow. The absolute closest is CASADI which is nice for some things but doesn't even have a true causal modeling interface and is mostly abandoned by the developers (they put a patch in every now and then, but just look at the commit graph), and it's slow compared to the Julia tools, so much so that PyBAMM is interfacing with ModelingToolkit.jl in Julia for a performance boost. Python is not the place to be for causal/acausal modeling or controls. Anyone who is saying "Python is mature" here is saying it in the abstract and not in the context of your actual question. Yes, Python has web development frameworks. No it does not have good libraries for tons of areas (control, acausal modeling, pharmacometrics, etc.).
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Basic casadi repo stats
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1,592
9.3
9 days ago

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