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 4 months ago)

Stargazers 321 (0 this week)

Watchers 22 (0 this week)

Forks 54

License other

Ranking

RepositoryStats indexes 631,885 repositories, of these databrickslabs/tempo is ranked #132,829 (79th percentile) for total stargazers, and #98,900 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #2,969/19,028.

databrickslabs/tempo is also tagged with popular topics, for these it's ranked: python (#6,607/23400), data-science (#771/2218), scala (#307/1000), data-analysis (#243/705), time-series (#212/699), pandas (#197/604), timeseries (#73/206)

Other Information

databrickslabs/tempo has 2 open pull requests on Github, 207 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 32 open issues and 66 closed issues.

There have been 28 releases, the latest one was published on 2024-11-18 (4 months 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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Watcher History

Github watchers over time, collection started in '23

Recent Commit History

155 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: 2025-03-26 @ 07:06am, id: 279626992 / R_kgDOEKrE8A