https://github.com/databrickslabs/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
https://github.com/databrickslabs/tempo

data-analysis data-science pandas python scala time-series timeseries timeseries-analysis timeseries-data

Last synced: 3 months ago
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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

• Host: GitHub
• URL: https://github.com/databrickslabs/tempo
• Owner: databrickslabs
• License: other
• Created: 2020-07-14T15:43:11.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2024-07-26T03:09:06.000Z (3 months ago)
• Last Synced: 2024-07-26T04:26:25.213Z (3 months ago)
• Topics: data-analysis, data-science, pandas, python, scala, time-series, timeseries, timeseries-analysis, timeseries-data
• Language: Jupyter Notebook
• Homepage: https://pypi.org/project/dbl-tempo
• Size: 4.36 MB
• Stars: 304
• Watchers: 23
• Forks: 50
• Open Issues: 30
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

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• awesome-sciml - databrickslabs/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

README

        
# 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](https://spark.apache.org/docs/latest/api/python/index.html) 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](https://github.com/databrickslabs/tempo/workflows/build/badge.svg)](https://github.com/databrickslabs/tempo/actions?query=workflow%3Abuild)

[![codecov](https://codecov.io/gh/databrickslabs/tempo/branch/master/graph/badge.svg)](https://codecov.io/gh/databrickslabs/tempo)

[![Downloads](https://pepy.tech/badge/dbl-tempo/month)](https://pepy.tech/project/dbl-tempo)

[![PyPI version](https://badge.fury.io/py/dbl-tempo.svg)](https://badge.fury.io/py/dbl-tempo)

[![docs](https://github.com/databrickslabs/tempo/actions/workflows/docs.yml/badge.svg)](https://databrickslabs.github.io/tempo/)

[![lines of code](https://tokei.rs/b1/github/databrickslabs/tempo)]([https://codecov.io/github/databrickslabs/tempo](https://github.com/databrickslabs/tempo))

## [Tempo Project Documentation](https://databrickslabs.github.io/tempo/)