name: dbl-tempo
version: 0.1.30
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.
license: MIT
author: Ricardo Portilla, Tristan Nixon, Max Thone, Sonali Guleria
homepage: https://databrickslabs.github.io/tempo/
requires_python: >=3.9
python_min: 3.9
install_size: 40.9 KB
module_format: py3-none-any
doc_url: https://databrickslabs.github.io/tempo/
repo_url: https://github.com/databrickslabs/tempo
last_released_at: 2025-09-15T21:34:52Z
releases_last_12mo: 0
avg_days_between_releases: 50.9
platforms: any

## maintainers
Lorin Dawson <lorin.dawson@databricks.com>
Kevin Wang <k.wang@databricks.com>
Hector Bustamante <hector.bustamante@databricks.com>