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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

Install / Use

/learn @databrickslabs/Tempo

README

tempo - Time Series Utilities for Data Teams Using Databricks

<p align="center"> <img src="https://raw.githubusercontent.com/databrickslabs/tempo/master/tempo%20-%20light%20background.svg" width="300px"/> </p>

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

View on GitHub
GitHub Stars339
CategoryData
Updated2d ago
Forks58

Languages

Jupyter Notebook

Security Score

85/100

Audited on Mar 25, 2026

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