# Ecosystem To support scalable epidemic modeling and research, the ecosystem is built on four independent repositories that can evolve independently: | Component | Role | |---|---| | **[epydemix](https://github.com/epistorm/epydemix)** | Epidemic modeling engine in Python with support for model calibration using Approximate Bayesian Computation | | **[epymodelingsuite](https://github.com/mobs-lab/epymodelingsuite)** | YAML-configured modeling suite for routine epidemic forecasting with support for interventions like school closures and vaccines. Uses epydemix as engine. | | **[epymodelingsuite-cloud](https://github.com/mobs-lab/epymodelingsuite-cloud)** | Cloud infrastructure and `epycloud` CLI for running parallel workloads on Google Cloud with local development support | | **Experiment data repository** | YAML experiment configurations, shared surveillance data, and custom functions. Typically one per project (e.g. flu, COVID-19, RSV). | For detailed descriptions of each component, see [Ecosystem Components](https://mobs-lab.github.io/epymodelingsuite-cloud/architecture/ecosystem-components.md). ## Next Steps - **[Installing epycloud](https://mobs-lab.github.io/epymodelingsuite-cloud/getting-started/installation.md)**: Install the CLI tool - **[Getting started: Local Execution](https://mobs-lab.github.io/epymodelingsuite-cloud/getting-started/local.md)**: Run your first local workflow locally