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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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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

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  • Jupyter Notebook 92.7%
  • Python 7.3%