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 (3 years ago)

Commits 210 (last one 2 months ago)

Stargazers 303 (0 this week)

Watchers 23 (0 this week)

Forks 50

License other

Ranking

RepositoryStats indexes 534,551 repositories, of these databrickslabs/tempo is ranked #124,662 (77th percentile) for total stargazers, and #94,227 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #2,669/14,929.

databrickslabs/tempo is also tagged with popular topics, for these it's ranked: python (#6,206/20447), data-science (#733/1973), scala (#317/960), data-analysis (#226/612), time-series (#203/598), pandas (#185/545)

Other Information

databrickslabs/tempo has 11 open pull requests on Github, 199 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 31 open issues and 64 closed issues.

There have been 26 releases, the latest one was published on 2024-04-22 (2 months ago) with the name v0.1.27.

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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Watcher History

Github watchers over time, collection started in '23

Recent Commit History

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

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Languages

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

updated: 2024-06-27 @ 03:18am, id: 279626992 / R_kgDOEKrE8A