The EpiGraphHub library is designed to provide external users with all of the analytical functionality used to power the EpiGraphHub platform and its applications. In fact, all applications designed to run on the EpiGraphHub platform rely heavily on it.
This library should be used by users that want to contribute to the platform as well as by users that want to borrow some of the tools developed by our team in other opensource projects.
EpiGraphHub library allows users make and apply:
- Bayesian Statistics
- Epidemiological analysis
- Mathematical modelling
- Cost-effectiveness analysis
- Forecasting
- Machine Learning
- Text Mining
- Geo-Spatial analysis
The EpiGraphHub library is also available for the R language.
The EpigraphHub library can be installed using pip:
$ pip install epigraphhub
View Example EpiGraphHub Applications in Our Documentation:
- Downloading Google Trends Data (Python version)
- Fetching Raster data from WorldPop
- Downloading data from World Bank Data
- Epidemiological Data Analysis
The official documentation is hosted on ReadtheDocs.
Check our website for most details about the EpiGraphHub project.
If you want to contribute to EpiGraphHub, check our Contributing Guide.
Check our Code of conduct.
You can see the list of available releases on the GitHub Releases page.
This project is licensed under the terms of the GNU GPL v3.0
license. See LICENSE for more details.
@misc{epigraphhub_py,
author = {thegraphnetwork},
title = {Epigraphhub Python package},
year = {2021},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/thegraphnetwork/epigraphhub_py}}
}