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R7L208/tempo

API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation

tempo - Time Series Utilities for Data Teams Using Databricks

Project Description

Welcome to Tempo: timeseries manipulation for Spark.
This project builds upon the capabilities of PySpark to provide
a suite of abstractions and functions that make operations on timeseries data easier and highly scalable.

NOTE that the Scala version of Tempo is now deprecated and no longer in development.

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Tempo Project Documentation

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Created September 14, 2022
Updated July 9, 2024