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)

Source: ClickPy

Dbl-tempo has no dependency.

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)

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)

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)