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Dev tools · February 27, 2017

UA

Unplugg: An automated Forecasting API for timeseries data

Unplugg: An automated Forecasting API for timeseries data launched on February 27, 2017 with 100 votes, #410 of 3,156 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 9 years on.

Visit unplu.gg ↗Alternativestop 13% of February 2017

In plain words

Unplugg is an API that forecasts timeseries data with seasonal patterns, such as energy consumption and temperature trends. It is designed for developers and data analysts who need automated forecasting capabilities integrated into their applications. The API requires an access token to use and allows users to input timeseries data to generate predictions.

written from the facts on this page · September 2026

From the sources

This API currently provides forecasting for timeseries data that you can test below. You can use it to forecast energy comsuption, temperature, or any other timeseries data which has some seasonality effect. To know more about this project visit unplu.gg . If you have feedback or want to know more , get in touch with us at [email protected] . The API is available at https://api.unplu.gg/ . With Unplugg’s API you can request a forecast based on a provided timeseries. To do this you have to make a POST to endpoint /forecast with headers and JSON payloads that will be described in the following sections. Time series data will be a list of values with associated timestamps. The link will be…from unplu.gg

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