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    <title>forecasting</title>
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    <updated>2026-04-30T23:30:12+00:00</updated>
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            <id>https://links.biapy.com/links/10337</id>
            <title type="text"><![CDATA[Prophet]]></title>
            <link rel="alternate" href="https://facebook.github.io/prophet/" />
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            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Forecasting at scale.

 Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. 

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: Automatic Forecasting Procedure @ GitHub](https://github.com/facebook/prophet).

Related contents:

- [Predictive Autoscaling in Kubernetes with Keda and Prophet @ Minimal Devops&amp;#039; Medium](https://minimaldevops.com/predictive-autoscaling-in-kubernetes-with-keda-and-prophet-cbccd96cf881).]]>
            </summary>
            <updated>2025-09-22T07:10:10+00:00</updated>
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