databrickslabs / tempo

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

Date Created 2020-07-14 (4 years ago)

Commits 218 (last one 5 days ago)

Stargazers 309 (0 this week)

Watchers 24 (0 this week)

Forks 53

License other

Ranking

RepositoryStats indexes 585,880 repositories, of these databrickslabs/tempo is ranked #130,327 (78th percentile) for total stargazers, and #92,087 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #2,871/17,153.

databrickslabs/tempo is also tagged with popular topics, for these it's ranked: python (#6,462/22039), data-science (#761/2108), scala (#314/983), data-analysis (#238/663), time-series (#212/663), pandas (#192/579)

Other Information

databrickslabs/tempo has Github issues enabled, there are 30 open issues and 66 closed issues.

There have been 28 releases, the latest one was published on 2024-11-18 (5 days ago) with the name v0.1.29.

Homepage URL: https://pypi.org/project/dbl-tempo

All Topics

scala pandas python timeseries time-series data-science data-analysis timeseries-data timeseries-analysis

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Recent Commit History

155 commits on the default branch (master) since jan '22

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The primary language is Jupyter Notebook but there's also others...

updated: 2024-11-21 @ 03:31pm, id: 279626992 / R_kgDOEKrE8A