Athina provides a collaborative development platform for building, testing, and monitoring AI features with a team.
Prophet
Prophet provides forecasting procedures in R and Python that data scientists can tune.
About Prophet
Prophet is a time series forecasting procedure developed by Facebook’s Core Data Science team, available for use in R and Python. It uses an additive model that fits non-linear trends alongside yearly, weekly, and daily seasonality, plus holiday effects, and is designed to work best with time series that have strong seasonal patterns and multiple seasons of historical data. The tool is built for speed, producing forecasts in seconds via Stan model fitting. It offers fully automated forecasting that is robust to missing data, outliers, and trend shifts, while also allowing data scientists and analysts to manually tune forecasts using interpretable parameters to incorporate domain knowledge.
Key features
- Additive time series forecasting with trend, seasonality, and holiday effects
- Fast forecast generation via Stan model fitting
- Fully automated forecasting robust to missing data and outliers
- Manual tuning of forecasts with interpretable parameters
- Available for use in both R and Python
- Handles trend shifts and dramatic time series changes
Best for: Data scientists and analysts working with seasonal time series data who need fast, tunable forecasts for planning and analysis.
Good for
- Fast forecast generation, with models fit in seconds via Stan
- Robust to missing data, outliers, and trend shifts in time series
- Supports both fully automated forecasting and manual tuning with interpretable parameters
Watch out for
- Performs best only on time series with strong seasonal effects and multiple seasons of historical data
- Only available for use in R and Python
Prophet at a glance
- Website
- facebook.github.io/prophet
- Category
- AI & Machine Learning › AI Data & Analytics
- Type
- Online tool
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
Prophet alternatives
Tools and sites you could use instead, ranked by how closely they match.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media.
Open source
24 alternatives
Gensim supports efficient topic modeling of text semantics with its Python library.
Hex combines data notebooks, applications, and AI tools so teams can ask questions and build with organizational data.
Sourcetable combines spreadsheets and data analysis tools for creating financial models and working with datasets.
Hex is an AI analytics platform for exploring and analyzing data through conversation grounded in governed context.
Popular in AI Data & Analytics
Well-known listings from the same topic.
Dotgetdot.aiForvioforvio.comFluidAI Medicalfluidai.mdApache Zeppelinzeppelin.apache.orgSola Securitysola.securityQuadraticquadratichq.com
Prophet FAQ
What programming languages support Prophet?
Prophet is implemented in R and Python, with both versions using the same underlying Stan code for model fitting.
What kind of time series data works best with Prophet?
Prophet works best with time series that have strong seasonal effects and several seasons of historical data.
Can Prophet handle messy or incomplete time series data?
Yes, Prophet is robust to missing data, outliers, and dramatic changes in time series, and provides fully automated forecasts for such data.
Is something wrong or out of date?
Tell us and an editor will check it.
Own this website?
Claim this listing
Claim the listing and suggest updates yourself. An editor checks every claim first.