Prophet: Automatic Forecasting Procedure

Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well.

Prophet is open source software released by Facebook's Core Data Science team .

Full documentation and examples available at the homepage: https://facebook.github.io/prophet/

Important links

HTML documentation: https://facebook.github.io/prophet/docs/quick_start.html
Issue tracker: https://github.com/facebook/prophet/issues
Source code repository: https://github.com/facebook/prophet
Implementation of Prophet in R: https://cran.r-project.org/package=prophet

Other forecasting packages

Rob Hyndman's forecast package
Statsmodels

Installation - PyPI release

See Installation in Python - PyPI release

Installation - Development version

See Installation in Python - Development version

Installation using Docker and docker-compose (via Makefile)

Simply type make build and if everything is fine you should be able to make shell or alternative jump directly to make py-shell.

To run the tests, inside the container cd python/prophet and then python -m pytest prophet/tests/

Example usage

  >>> from prophet import Prophet
  >>> m = Prophet()
  >>> m.fit(df)  # df is a pandas.DataFrame with 'y' and 'ds' columns
  >>> future = m.make_future_dataframe(periods=365)
  >>> m.predict(future)

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This release

1.4.0

Aug 15, 2026

1.3.0

Jan 27, 2026

1.2.2

Jan 25, 2026

1.2.1

Oct 21, 2025

1.2.0

Oct 19, 2025

1.1.7

May 30, 2025

1.1.6

Oct 3, 2024

1.1.5

Oct 10, 2023

1.1.4

May 29, 2023

1.1.3

May 17, 2023

1.1.2

Jan 20, 2023

1.1.1

Sep 9, 2022

1.1

Jun 24, 2022

1.0.1

Mar 29, 2021

1.0

Mar 26, 2021

0.1.1.post1

Jun 7, 2020

prophet 1.4.0

Prophet: Automatic Forecasting Procedure

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Other forecasting packages

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