Diviner is an open source library for large-scale (multi-series) time series forecasting. It serves as a wrapper around popular open source forecasting libraries, providing a consolidated framework for simplified modeling of many discrete series components with an efficient high-level API.
To get started with Diviner, see the quickstart guide (Quickstart Guide).
Individual forecasting library API guides can be found here:
Examples of each of the wrapped forecasting libraries can be found here.
- Diviner: Grouped Timeseries Forecasting at scale
- Quickstart Guide
- Tutorials and Examples
- Grouped Prophet
- Grouped pmdarima
- Data Processing
- Contributing Guide