Metadata-Version: 2.1
Name: pyratlib
Version: 0.6.2
Summary: PyRat is a user friendly library in python to analyze data from the DeepLabCut. Developed to help researchers unfamiliar with programming can perform animal behavior analysis more simpler.
Home-page: https://github.com/pyratlib/pyrat
License: MIT
Download-URL: https://github.com/pyratlib/pyrat
Description: [![downloads](https://img.shields.io/pypi/dm/pyratlib?color=blue&style=flat-square)](https://pypi.org/project/pyratlib/)
        [![version](https://img.shields.io/pypi/v/pyratlib?color=blue&style=flat-square)](https://pypi.org/project/pyratlib/)
        [![commit](https://img.shields.io/github/last-commit/pyratlib/pyrat?color=blue&style=flat-square)](https://github.com/pyratlib/pyrat/commits/main)
        [![Open Source? Yes!](https://badgen.net/badge/Open%20Source%20%3F/Yes%21/blue?icon=github)](https://github.com/pyrat/pyratlib)
        [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.5883277.svg)](https://doi.org/10.5281/zenodo.5883277)
        [![Stars](https://img.shields.io/github/stars/pyratlib/pyrat?style=social)](https://github.com/pyratlib/pyrat/stargazers)
        
        <!-- [![Build Status](https://img.shields.io/appveyor/build/pyrat/pyratlib?style=flat-square)](https://travis-ci.com/pyrat/pyratlib) -->
        
        <p align="center">
          <img width="500" height="600" src="https://github.com/pyratlib/pyrat/blob/main/docs/LOGO%20PYRAT.png">
        </p>
        
        
        # PyRat - Python in Rodent Analysis and Tracking
        ------------
        PyRat is a user friendly library in python to analyze data from the DeepLabCut. Developed to help researchers unfamiliar with programming can perform animal behavior analysis more simpler.
        
        # Installation
        ------------
        
        The latest stable release is available on PyPi, and you can install it by saying
        ```
        pip install pyratlib
        ```
        Anaconda users can install using ``conda-forge``:
        ```
        conda install -c conda-forge pyratlib
        ```
        
        To build PyRat from source, say `python setup.py build`.
        Then, to install PyRat, say `python setup.py install`.
        If all went well, you should be able to execute the demo scripts under `examples/`
        (OS X users should follow the installation guide given below).
        
        Alternatively, you can download or clone the repository and use `pip` to handle dependencies:
        
        ```
        unzip pyratlib.zip
        pip install -e pyratlib
        ```
        or
        ```
        git clone https://github.com/pyratlib/pyrat.git
        pip install -e pyratlib
        ```
        
        By calling `pip list` you should see `pyrat` now as an installed package:
        ```
        pyrat (0.x.x, /path/to/pyratlib)
        ```
        # Data
        ------
        
        The data is available on [Zenodo](https://doi.org/10.5281/zenodo.5865893)
        
        # Examples
        -----------
        <!-- 
        - Notebook with the t-SNE algorithm. [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/tuliofalmeida/pyjama/blob/main/PyJama_JAMA_exemple.ipynb)       -->
        - Basic Usage [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/pyratlib/pyrat/blob/main/PyRAT_Basic_Plots.ipynb)
        - Behavior Classification [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/pyratlib/pyrat/blob/main/PyRAT_Behavior_Classification.ipynb)
        - Metrics in mice [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/pyratlib/pyrat/blob/main/PyRAT_Mice.ipynb)
        - Neural Data example [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://github.com/pyratlib/pyrat/blob/main/PyRAT_Neural_Data.ipynb)
        
        
        
        
        # Development Team:
        ------------
        
        - Tulio Almeida - [GitHub](https://github.com/tuliofalmeida) - [Google Scholar](https://scholar.google.com/citations?user=kkOy-JkAAAAJ&hl=en)
        - Bruno Spinelli - [GitHub](https://github.com/brunospinelli) - [Google Scholar](https://scholar.google.com/)
        - Ramon Hypolito - [GitHub](https://github.com/ramonhypolito) - [Google Scholar](https://scholar.google.com/citations?user=5lKx5GcAAAAJ&hl=pt-BR&oi=ao)
        - Maria Carolina Gonzalez - [GitHub](https://github.com/pyratlib) - [Google Scholar](https://scholar.google.com/citations?user=7OXkSPcAAAAJ&hl=pt-BR&oi=ao)
        - Abner Rodrigues - [GitHub](https://github.com/abnr) - [Google Scholar](https://scholar.google.com.br/citations?user=0dTid9EAAAAJ&hl=en)
        
        
        
Keywords: Data analysis,Animal Behavior,Electrophysiology,Tracking,DeepLabCut
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
