Metadata-Version: 2.1
Name: rsatoolbox
Version: 0.0.6.dev11
Summary: Representational Similarity Analysis (RSA) in Python
Author: rsatoolbox authors
License: MIT License
        
        Copyright (c) 2019 rsatoolbox authors
        
        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
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        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
        SOFTWARE.
        
Project-URL: homepage, https://github.com/rsagroup/rsatoolbox
Project-URL: documentation, https://rsatoolbox.readthedocs.io/
Keywords: neuroscience
Classifier: Programming Language :: Python
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 4 - Beta
Classifier: Topic :: Scientific/Engineering
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Requires-Python: <3.11,>=3.7
Description-Content-Type: text/x-rst
License-File: LICENSE
License-File: AUTHORS

# Representational Similarity Analysis 3.0

[![Documentation Status](https://readthedocs.org/projects/rsatoolbox/badge/?version=latest)](https://rsatoolbox.readthedocs.io/en/latest/?badge=latest)
[![PyPI version](https://badge.fury.io/py/rsatoolbox.svg)](https://badge.fury.io/py/rsatoolbox)
[![Codacy Badge](https://app.codacy.com/project/badge/Grade/626ca9ec9f75485a9f73783c02710b1f)](https://www.codacy.com/gh/rsagroup/rsatoolbox?utm_source=github.com&amp;utm_medium=referral&amp;utm_content=rsagroup/rsatoolbox&amp;utm_campaign=Badge_Grade)
[![CodeFactor](https://www.codefactor.io/repository/github/rsagroup/rsatoolbox/badge)](https://www.codefactor.io/repository/github/rsagroup/rsatoolbox)
[![codecov](https://codecov.io/gh/rsagroup/rsatoolbox/branch/master/graph/badge.svg)](https://codecov.io/gh/rsagroup/rsatoolbox)


Conceived during the RSA retreat 2019 in Blue Mountains.

[Documentation](https://rsatoolbox.readthedocs.io/)


#### Getting Started

To install the latest stable version of rsatoolbox with pip:

```sh
pip install rsatoolbox
```


here is a simple code sample:

```python
import numpy, rsatoolbox
data = rsatoolbox.data.Dataset(numpy.random.rand(10, 5))
rdms = rsatoolbox.rdm.calc_rdm(data)
rsatoolbox.vis.show_rdm(rdms)
```
