tnsgrt


Nametnsgrt JSON
Version 0.6 PyPI version JSON
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home_page
SummaryPython library with support for analysis and design of Tensegrity structures
upload_time2023-05-23 05:30:41
maintainer
docs_urlNone
author
requires_python>3.7
licenseMIT License Copyright (c) 2023 Mauricio de Oliveira 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 tensegrity structures trusses
VCS
bugtrack_url
requirements numpy matplotlib pandas scipy cvxpy vispy parameterized more-itertools typing-extensions
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # tnsgrt

This package contains classes and functions that facilitate the design and analysis of tensegrity structures.
It started as a matlab toolbox many years ago written by Mauricio de Oliveira and Joseph Cessna, which is now been
ported to Python.

It relies heavily on [numpy](https://numpy.org>), [scipy](https://scipy.org), [pandas](https://pandas.org), and
[cvxpy](https://cvxpy.org) for computations.

Visualization is supported via [matplotlib](https://matplotlib.org) and
[vispy](https://vispy.org).

## Installation

Install with pip by typing:

    pip install tnsgrt

## Documentation

See on [read the docs](https://tnsgrt.readthedocs.io).

            

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