• Stars
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    306
  • Rank 136,456 (Top 3 %)
  • Language
    Jupyter Notebook
  • License
    Other
  • Created over 4 years ago
  • Updated about 1 month ago

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Repository Details

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.

image codecov Downloads PyPI version docs

Tempo Project Documentation

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