{"library":"dbl-tempo","type":"library","category":null,"description":"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.","language":"python","status":"active","version":"0.1.30","tags":["spark","pyspark","timeseries","dataframe","databricks"],"last_verified":"Wed May 20","install":[{"cmd":"pip install dbl-tempo","imports":["from tempo.spark import TempoSparkSession","from tempo.tsdf import TSDF","from pyspark.sql import SparkSession"]}],"homepage":"https://databrickslabs.github.io/tempo/","github":"https://github.com/databrickslabs/tempo","docs":"https://databrickslabs.github.io/tempo/","changelog":null,"pypi":"https://pypi.org/project/dbl-tempo/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":1.5,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/dbl-tempo/compatibility"}}