Tempo - Timeseries Manipulation for Spark

Tempo is a Python library that builds upon PySpark to provide scalable abstractions and functions for timeseries data manipulation on Spark. It simplifies common operations like resampling, interpolation, and as-of joins for large-scale time series datasets. The project is actively maintained as part of Databricks Labs, with frequent patch releases, currently at version 0.1.30.