Comparison of Time Series Forecasting Discussion

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

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  • 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) claims to be "the first comprehensive Python library to develop the standards and connect various domains in time series analysis, where the users can explore the basic characteristics of their time series data, predict the future values, monitor the anomalies, and incorporate them into their ML models and pipelines."

  • darts

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

  • How is this different from Unit8's Darts (https://github.com/unit8co/darts)?

  • 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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