Package profile
dbl-tempo
- Summary: Tempo is 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.
- Author: Ricardo Portilla, Tristan Nixon, Max Thone, Sonali Guleria
- License: MIT
- Homepage: https://databrickslabs.github.io/tempo/
- Source: https://github.com/databrickslabs/tempo
- Number of releases: 30
- First release: 0.1.0 on 2021-09-01
- Latest release: 0.1.30 on 2025-09-15
- Latest release size: 40.9 KB (pure Python wheel)
Dependencies
Dbl-tempo has no dependency.Similar packages
- sparkmeasurePython API for sparkMeasure, a tool for performance troubleshooting of Apache Spark workloads.
- spark-sklearnIntegration tools for running scikit-learn on Spark
- pysparkApache Spark Python API
- chispaPyspark test helper library
- quinnPyspark helper methods to maximize developer efficiency
- findsparkFind pyspark to make it importable.
- temporaObjects and routines pertaining to date and time (tempora)