AnyPyTools is a toolkit for working with the AnyBody Modeling System (AMS) from Python. It enables reproduceable research with the AnyBody Modeling System, and bridges the gap to whole ecosystem of open source scientific Python.
The AnyPyTools Python package enables batch processing, parallization of model simulations, model sensitivity studies, and parameter studies, using either Monte-Carlo (random sampling) or Latin hypercube sampling. It makes reproducible research much easier and replaces the tedious process of manually automating the musculoskeletal simulations and aggregating the results.
If you use the library for publications please cite as:
Lund et al., (2019). AnyPyTools: A Python package for reproducible research with the AnyBody Modeling System. Journal of Open Source Software, 4(33), 1108, https://doi.org/10.21105/joss.01108
conda config --add channels conda-forge
conda install anypytools
The library is also available on PyPi for installing using pip.
The simplest case:
from anypytools import AnyPyProcess
app = AnyPyProcess()
macro = [
'load "Model.main.any"',
'operation Main.Study.InverseDynamics',
'run',
]
app.start_macro(macro)
Please see the Jupyter Notebook based tutorial, or check the the following for more information:
FAQs
Python tools and utilities for working with the AnyBody Modeling System
We found that anypytools demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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