[D] Recent research and methods for time series forecasting

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning

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  • darts

    A python library for user-friendly forecasting and anomaly detection on time series.

  • DARTS https://github.com/unit8co/darts (PyTorch based)

  • Kats

    Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

  • KATS https://github.com/facebookresearch/Kats

  • 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.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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