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Co-authored-by: Filippo Luca Ferretti <[email protected]>
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traversaro and flferretti authored Dec 22, 2023
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To avoid confusion, it is also useful to clarify what **iDynTree is not**:
* It is not the **fastest C++ library** for kinematics and dynamics multibody computations for robotics. It is not slow, but if have an application in which you need the absolute fastest library, check out [Pinocchio](https://github.com/stack-of-tasks/pinocchio).
* It is not a **multibody simulator** library. It provides the building blocks that you could use to build a multibody simulator, but it is not a multibody simulator per se. If you need a simulator library in C++, check out [DART](https://dartsim.github.io/), [Simbody](https://github.com/simbody/simbody), [Drake](https://drake.mit.edu/), [MuJoCo](https://mujoco.org/) or the abstraction layer [`Gazebo Physics`](https://github.com/gazebosim/gz-physics). If you need a simulator implemented in MATLAB/Simulink (built on iDynTree), check [`matlab-whole-body-simulator`](https://github.com/ami-iit/matlab-whole-body-simulator). If you need a simulator that is differentiable run on GPU, check [`jaxsim`](https://github.com/ami-iit/jaxsim) or [MuJoCo XLA (mjx)](https://mujoco.readthedocs.io/en/stable/mjx.html).
* It does not provide algorithms in a form in which they can be used in [CasADi](http://casadi.org/), [JAX](https://jax.readthedocs.io/en/latest/) or [PyTorch](https://pytorch.org/). For a Python library with an interface inspired by iDynTree that provides algorithm compatible with these frameworks, check [`adam`](https://github.com/ami-iit/adam) robotics library.
* It does not provide algorithms in a form in which they can be used in [CasADi](http://casadi.org/), [JAX](https://jax.readthedocs.io/en/latest/) or [PyTorch](https://pytorch.org/). For a Python library with an interface inspired by iDynTree that provides algorithms compatible with these frameworks, check [`adam`](https://github.com/ami-iit/adam) robotics library.


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