# Prophet Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/prophet
> Markdown URL: https://aitinkerers.org/technologies/prophet.md
> Technology record last updated: 2026-03-05T10:17:05Z
> Generated: 2026-09-22T22:34:45Z

Prophet: Meta's open-source library for automated, high-quality time series forecasting, optimized for data with strong seasonal effects and historical data.

Prophet is an open-source forecasting procedure from Meta's (formerly Facebook) Core Data Science team, implemented in both Python and R. It uses an additive model to reliably fit non-linear trends, plus complex seasonality: specifically, yearly, weekly, daily, and holiday effects. The library is engineered for scale, generating accurate forecasts in seconds using a Stan-based model fit. Prophet’s core strength is its robustness, handling messy data, missing values, outliers, and dramatic trend shifts with minimal manual tuning. This makes it an efficient, accessible tool for data scientists and analysts who need fast, reliable predictions for business planning.

- Official technology site: https://facebook.github.io/prophet/
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [RFP Summary](https://montreal.aitinkerers.org/talks/rsvp_tlZIcFu8LAY)

Hi - I am JP - I developed an RFP Summary with Gen AI. I have linked a video URL which will give you a good idea of the demo.

- Event context: AI Tinkerers - Montreal Inaugural Meetup (October) — 2024-10-29 — Montreal
- Public talk page: https://montreal.aitinkerers.org/talks/rsvp_tlZIcFu8LAY

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