# DyNetx - Dynamic Network analysis library [![codecov](https://codecov.io/gh/GiulioRossetti/dynetx/branch/master/graph/badge.svg?token=ILcIwMJDpm)](https://codecov.io/gh/GiulioRossetti/dynetx) [![Documentation Status](https://readthedocs.org/projects/dynetx/badge/?version=latest)](http://dynetx.readthedocs.io/en/latest/?badge=latest) [![pyversions](https://img.shields.io/pypi/pyversions/dynetx.svg)](https://badge.fury.io/py/dynetx) [![PyPI version](https://badge.fury.io/py/dynetx.svg)](https://badge.fury.io/py/dynetx) [![Downloads](https://pepy.tech/badge/dynetx)](https://pepy.tech/project/dynetx) [![Downloads](https://pepy.tech/badge/dynetx/month)](https://pepy.tech/project/dynetx) [![DOI](https://zenodo.org/badge/98746676.svg)](https://zenodo.org/badge/latestdoi/98746676) [![SBD++](https://img.shields.io/badge/Available%20on-SoBigData%2B%2B-green)](https://sobigdata.d4science.org/group/sobigdata-gateway/explore?siteId=20371853) ![plot](./docs/dynetx_logo_full.png) DyNetx provides implementations of dynamic networks in python (it is built upon [networkx](http://networkx.github.io)). The project documentation can be found on [ReadTheDocs](http://dynetx.readthedocs.io). If you would like to test ``DyNetx`` functionalities without installing anything on your machine consider using the preconfigured Jupyter Hub instances offered by [SoBigData++](https://sobigdata.d4science.org/group/sobigdata-gateway/explore?siteId=20371853). ## Citation > Rossetti, G. (2020) DyNetx: dynamic network analysis library, v0.2.1, Zenodo, doi: 10.5281/zenodo.3953119 ## Installation In order to install the library use pip: ```bash pip install dynetx ``` or conda: ```bash conda install -c giuliorossetti dynetx ```