| Name | anypytools JSON |
| Version |
1.11.5
JSON |
| download |
| home_page | |
| Summary | Python tools and utilities for working with the AnyBody Modeling System |
| upload_time | 2024-03-11 13:27:44 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.7 |
| license | MIT License Copyright (c) 2017 Morten Enemark Lund Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
anybody modeling system
anyscript
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
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| coveralls test coverage |
No coveralls.
|
# AnyPyTools
[](https://opensource.org/licenses/MIT)
[](https://github.com/AnyBody-Research-Group/AnyPyTools/actions/workflows/test.yml)
[](https://anaconda.org/conda-forge/anypytools)
[](https://github.com/ambv/black)
[](https://doi.org/10.21105/joss.01108)
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>
## Installation
- Download and install the [Anaconda Python distribution]
- After installation opens the Anaconda command prompt and type:
```bash
conda config --add channels conda-forge
conda install anypytools
```
The library is also available on [PyPi](https://pypi.python.org/pypi/AnyPyTools) for installing using `pip`.
## Usage
The simplest case:
```python
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:
- [AnyPyTools's Documentation](https://anybody-research-group.github.io/anypytools-docs)
<img src="docs/_static/relax.png" alt="Don't panic" height="100px">
[anaconda python distribution]: https://store.continuum.io/cshop/anaconda/
[anybody modeling system (ams)]: http://www.anybodytech.com
[jupyter notebook based tutorial]: http://nbviewer.jupyter.org/github/AnyBody-Research-Group/AnyPyTools/blob/master/docs/Tutorial/00_AnyPyTools_tutorial.ipynb
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"description": "# AnyPyTools\r\n\r\n[](https://opensource.org/licenses/MIT)\r\n[](https://github.com/AnyBody-Research-Group/AnyPyTools/actions/workflows/test.yml)\r\n[](https://anaconda.org/conda-forge/anypytools)\r\n[](https://github.com/ambv/black)\r\n[](https://doi.org/10.21105/joss.01108)\r\n\r\nAnyPyTools is a toolkit for working with the [AnyBody Modeling System (AMS)]\r\nfrom Python. It enables reproduceable research with the AnyBody Modeling System, and bridges the gap to whole ecosystem of open source scientific Python.\r\n\r\nThe AnyPyTools Python package enables batch processing, parallization of model\r\nsimulations, model sensitivity studies, and parameter studies, using either\r\nMonte-Carlo (random sampling) or Latin hypercube sampling. It makes reproducible\r\nresearch much easier and replaces the tedious process of manually automating the\r\nmusculoskeletal simulations and aggregating the results.\r\n\r\nIf you use the library for publications please **cite as:**\r\n\r\n> 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>\r\n\r\n## Installation\r\n\r\n- Download and install the [Anaconda Python distribution]\r\n- After installation opens the Anaconda command prompt and type:\r\n\r\n```bash\r\nconda config --add channels conda-forge\r\nconda install anypytools\r\n```\r\n\r\nThe library is also available on [PyPi](https://pypi.python.org/pypi/AnyPyTools) for installing using `pip`.\r\n\r\n\r\n## Usage\r\n\r\nThe simplest case:\r\n\r\n```python\r\nfrom anypytools import AnyPyProcess\r\napp = AnyPyProcess()\r\nmacro = [\r\n 'load \"Model.main.any\"',\r\n 'operation Main.Study.InverseDynamics',\r\n 'run',\r\n]\r\napp.start_macro(macro)\r\n```\r\n\r\nPlease see the [Jupyter Notebook based tutorial], or check the the following for more information:\r\n\r\n- [AnyPyTools's Documentation](https://anybody-research-group.github.io/anypytools-docs)\r\n\r\n\r\n<img src=\"docs/_static/relax.png\" alt=\"Don't panic\" height=\"100px\">\r\n\r\n\r\n[anaconda python distribution]: https://store.continuum.io/cshop/anaconda/\r\n[anybody modeling system (ams)]: http://www.anybodytech.com\r\n[jupyter notebook based tutorial]: http://nbviewer.jupyter.org/github/AnyBody-Research-Group/AnyPyTools/blob/master/docs/Tutorial/00_AnyPyTools_tutorial.ipynb\r\n",
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