# Software  

To assist users in building a hub, we have developed a software suite with specific functions and uses outlined below. These tools are designed to support common modeling hub tasks, like loading model output data, plotting the model output data, building ensembles using the data, and in some cases evaluating the predictions made by different models.  

## [`hubverse`](https://github.com/hubverse-org/hubverse)  

`hubverse` is a collection of packages that enables collaborative modeling exercises through a unified framework for aggregating, visualizing, and evaluating forecasts. Notably, **installing `hubverse` also installs all of the other packages listed below**. It is designed to make it easy to install and load multiple `hubverse` packages in a single step. You can find [the complete package and instructions here](https://github.com/hubverse-org/hubverse).  

## [`hubAdmin`](https://github.com/hubverse-org/hubAdmin)  

`hubAdmin` is an R package that provides a set of utility functions for administering hubs, in particular creating and validating hub configuration files. You can find [the complete package and instructions here](https://github.com/hubverse-org/hubAdmin).  

## [`hubCI`](https://github.com/hubverse-org/hubCI)  

`hubCI` is an R package that provides functionality for setting up hubverse continuous integration workflows. You can find [the complete package and instructions here](https://github.com/hubverse-org/hubCI).  

## [`hubData`](https://github.com/hubverse-org/hubData)  

`hubData` is an R package that provides tools for connecting to, interacting with, and manipulating hub data. You can find [the complete package and instructions here](https://github.com/hubverse-org/hubData).  

## [`hubEnsembles`](https://github.com/hubverse-org/hubEnsembles)  

`hubEnsembles` is an R package with functionality to build simple ensembles of data from modeling hubs. Different ensembles can be built using for instance the mean, median, and mode. You can find [the complete package and instructions here](https://github.com/hubverse-org/hubEnsembles).  

## [`hubEvals`](https://github.com/hubverse-org/hubEvals)  

`hubEvals` is an R package that provides tools for evaluating infectious disease model outputs. You can find [the complete package and instructions here](https://github.com/hubverse-org/hubEvals).  

## [`hubExamples`](https://github.com/hubverse-org/hubExamples)  

`hubExamples` is an R package that provides example data for forecasting and scenario modeling hubs in the hubverse format. You can find [the complete package and instructions here](https://github.com/hubverse-org/hubExamples).  

## [`hubUtils`](https://hubverse-org.github.io/hubUtils/)  

`hubUtils` is a lightweight R package that primarily contains general utilities imported by other hubverse packages. Previously, `hubUtils` was a larger package with more functions, but most of these were moved and split across `hubData` and `hubAdmin`. You can find [the complete package and instructions here](https://github.com/hubverse-org/hubUtils).  

## [`hubValidations`](https://github.com/hubverse-org/hubValidations)  

`hubValidations` is an R package that facilitates the implementation of general validation rules that are enforced on submissions in the form of pull requests to hub repositories. You can find [the complete package and instructions here](https://github.com/hubverse-org/hubValidations).  

## [`hubVis`](https://github.com/hubverse-org/hubVis)  

`hubVis` is an R package that provides plotting methods for hub model outputs in order to synthesize and visualize model submissions. You can find the complete package and instructions for use [here](https://github.com/hubverse-org/hubVis).