{"id":13677484,"url":"https://github.com/databrickslabs/tempo","last_synced_at":"2025-04-29T11:31:00.823Z","repository":{"id":37578264,"uuid":"279626992","full_name":"databrickslabs/tempo","owner":"databrickslabs","description":"API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation","archived":false,"fork":false,"pushed_at":"2025-04-09T23:22:38.000Z","size":5302,"stargazers_count":323,"open_issues_count":35,"forks_count":56,"subscribers_count":22,"default_branch":"master","last_synced_at":"2025-04-10T00:25:39.396Z","etag":null,"topics":["data-analysis","data-science","pandas","python","scala","time-series","timeseries","timeseries-analysis","timeseries-data"],"latest_commit_sha":null,"homepage":"https://pypi.org/project/dbl-tempo","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/databrickslabs.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2020-07-14T15:43:11.000Z","updated_at":"2025-04-01T18:30:29.000Z","dependencies_parsed_at":"2024-01-02T23:57:50.841Z","dependency_job_id":"c03d66aa-eea4-4e2f-bdaf-a4510e71e97f","html_url":"https://github.com/databrickslabs/tempo","commit_stats":null,"previous_names":[],"tags_count":38,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/databrickslabs%2Ftempo","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/databrickslabs%2Ftempo/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/databrickslabs%2Ftempo/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/databrickslabs%2Ftempo/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/databrickslabs","download_url":"https://codeload.github.com/databrickslabs/tempo/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":251493748,"owners_count":21598161,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-analysis","data-science","pandas","python","scala","time-series","timeseries","timeseries-analysis","timeseries-data"],"created_at":"2024-08-02T13:00:42.918Z","updated_at":"2025-04-29T11:30:59.649Z","avatar_url":"https://github.com/databrickslabs.png","language":"Jupyter Notebook","readme":"# tempo - Time Series Utilities for Data Teams Using Databricks\n\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"https://raw.githubusercontent.com/databrickslabs/tempo/master/tempo%20-%20light%20background.svg\" width=\"300px\"/\u003e\n\u003c/p\u003e\n\n\n## Project Description\nWelcome to Tempo: timeseries manipulation for Spark.\nThis project builds upon the capabilities of [PySpark](https://spark.apache.org/docs/latest/api/python/index.html) to provide\na suite of abstractions and functions that make operations on timeseries data easier and highly scalable.\n\n*NOTE* that the Scala version of Tempo is now deprecated and no longer in development.\n\n[![image](https://github.com/databrickslabs/tempo/workflows/build/badge.svg)](https://github.com/databrickslabs/tempo/actions?query=workflow%3Abuild)\n[![codecov](https://codecov.io/gh/databrickslabs/tempo/branch/master/graph/badge.svg)](https://codecov.io/gh/databrickslabs/tempo)\n[![Downloads](https://pepy.tech/badge/dbl-tempo/month)](https://pepy.tech/project/dbl-tempo)\n[![PyPI version](https://badge.fury.io/py/dbl-tempo.svg)](https://badge.fury.io/py/dbl-tempo)\n[![docs](https://github.com/databrickslabs/tempo/actions/workflows/docs.yml/badge.svg)](https://databrickslabs.github.io/tempo/)\n[![lines of code](https://tokei.rs/b1/github/databrickslabs/tempo)]([https://codecov.io/github/databrickslabs/tempo](https://github.com/databrickslabs/tempo))\n\n## [Tempo Project Documentation](https://databrickslabs.github.io/tempo/)\n\n","funding_links":[],"categories":["Jupyter Notebook","\u003cspan id=\"head7\"\u003e2.2. (Deep Learning based) Time Series Analysis\u003c/span\u003e"],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdatabrickslabs%2Ftempo","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdatabrickslabs%2Ftempo","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdatabrickslabs%2Ftempo/lists"}