Using ADTK for easy time series anomaly detection

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SurveyJS - Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App
With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.
surveyjs.io
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InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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  • ipympl

    Matplotlib Jupyter Integration

  • I discovered this little library called ADTK that offers a sklearn-like Python API on top of statsmodels and proved to be very useful. Since I don't have a background in time series forecasting it was very useful to have a high level class that performed seasonality detection and deviations automatically. The documentation also explains the different kinds of anomalies one would want to detect, which was also very useful. And finally, it provides some nifty visualization utilities on top of matplotlib, which I combined with ipympl to have interactivity.

  • SurveyJS

    Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.

    SurveyJS logo
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