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SPECIFICTION
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OpenSim vs PyAutoLens

OpenSim

opensim.stanford.edu

PyAutoLens

pyautolens.readthedocs.io

Side by side

FigureOpenSimPyAutoLens
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WindowsYesYes
macOSYesYes
LinuxYesYes
APIYes—
Plans published11
Spec score · Physics Simulation Software8.7 (#6)8.4 (#18)
Authoring toolsYesNo
Data exportYesYes
Delivery modedesktopdesktop
Free planYesYes
Lesson libraryYesNo
PurposeOpenSim models humans, animals, robots, and the environment, and simulates their interaction and movement.PyAutoLens is software for analysing strong gravitational lenses and aims to enable fully automated strong lens analysis.
3D visualsYesNo

Plans

OpenSim

  • OpenSimFree

OpenSim pricing →

PyAutoLens

  • PyAutoLensFree

PyAutoLens pricing →

In their own words

OpenSim

OpenSim models and simulates how humans, animals, robots, and their environment move and interact. Its graphical interface displays models and supports creating and analyzing simulations. Models can contain rigid bodies, joints, constraints, contact, muscles, and other actuators. Movement analysis tools include inverse kinematics, inverse dynamics, static optimization, and forward dynamics; Computed Muscle Control can generate muscle-driven forward simulations. The API is usable through Matlab, Python, Java, and C++, and GUI scripting uses an embedded Jython shell. Plugins can add analyses and model components, but must be built for the same OpenSim version and platform. The graphical interface is distributed for 64-bit Windows and Mac, while there is no public Linux GUI distribution; the API source can be built for Linux. OpenSim is free and open source under Apache 2.0, though models, examples, and plugins may have separate licenses. It is intended for research and teaching and welcomes academic and commercial applications. Documentation, tutorials, and a discussion forum are available. Downloading requires a SimTK account.

Visit opensim.stanford.edu

PyAutoLens

PyAutoLens has no write-up on Specifiction yet; its figures are above.

Visit pyautolens.readthedocs.io