Prophet

Spec sheet

Purpose

Prophet is a forecasting procedure for time series data with non-linear trends, yearly, weekly, and daily seasonality, and holiday effects.Read 9 Oct 2026 · facebook.github.io

Support

The project directs users to its documentation and GitHub issue tracker for help and contributions.Read 9 Oct 2026 · github.com

License

The repository identifies the project license as MIT.Read 9 Oct 2026 · github.com

Adjustability

Users can tune forecasts with human-interpretable parameters and add domain knowledge.Read 9 Oct 2026 · facebook.github.io

Best suited to

The project says Prophet works best with time series that have strong seasonal effects and several seasons of historical data.Read 9 Oct 2026 · facebook.github.io

Features

The documentation covers country holidays, custom seasonalities, additional regressors, uncertainty intervals, and cross-validation.Read 9 Oct 2026 · facebook.github.io

Implementations

Prophet has R and Python implementations that share Stan code for fitting.Read 9 Oct 2026 · facebook.github.io

Installation

The project documents installation through CRAN for R and PyPI or conda-forge for Python.Read 9 Oct 2026 · facebook.github.io

Maintenance

The repository says that as of v1.4.0 Prophet is in maintenance mode, accepting bug fixes, dependency updates, and R parity changes, with no new features planned.Read 9 Oct 2026 · github.com

Platform setup

The installation guide says Windows R installation requires a compiler and Rtools, and Windows Python installation with cmdstanpy requires a Unix-compatible C compiler.Read 9 Oct 2026 · github.com

Robustness

The project says Prophet is robust to missing data and trend shifts and typically handles outliers well.Read 9 Oct 2026 · facebook.github.io

Runtime requirements

The installation guide says Python use requires at least version 3.7 and a VM needs at least 4 GB memory to install and 2 GB to use Prophet.Read 9 Oct 2026 · github.com

Plans and prices

Every Prophet plan and price →

Where Specifiction places it

• Predictive Analytics Software#19 of 377.5