Epiprocess is an R package built to work with epidemiological time series data, providing tools to manage, analyze, and process data in preparation for modeling. The package contains multiple functions allowing working with epidemiological times series, signal procession (outlier detection, sliding window operations, computing growth rates and corrections) and creating structured datasets, making it easier to prepare epidemiological data for analysis. Epiprocess is designed to work with epipredict, a companion package that offers pre-built forecasting models as well as tools to build custom models for epidemic prediction tasks. Together, these packages aim to lower the barrier to entry and reduce implementation costs for epidemiological time series analysis and forecasting. The package is developed by the Delphi group at Carnegie Mellon University with support from Johns Hopkins University and the Center for Systems Science and Engineering.