dbl-tempo
Tempo is timeseries manipulation for Spark. This project builds upon the capabilities of PySpark to provide a suite of abstractions and functions that make operations on timeseries data easier and highly scalable.
dbl-tempo has been downloaded 74,711,120 times in total on PyPI, including 4,085,226 in the last 30 days. The latest version is 0.1.30, released Sep 15, 2025.
Version0.1.30
Downloads
74.71M
License—
AuthorRicardo Portilla, Tristan Nixon, Max Thone, Sonali Guleria
Downloads
Weekly, last 90d.
Includes CI traffic.
VersionsTotal0.*
Range
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Stack: OffCI: Included2 / 31 series
Selected total23.10M
74.7MAll-time
4.1MLast 30 days
141.9kLast 24 h
1.56/sPer second
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Version distribution
Share of downloads by released version. Computed over the last quarter.
- 0179.1%
0.1.30
9.1M downloadsDownloads9.1M79.1% - 0212.8%
0.1.26
1.5M downloadsDownloads1.5M12.8% - 034.4%
0.1.22
507.4k downloadsDownloads507.4k4.4% - 042.2%
0.1.29
252.6k downloadsDownloads252.6k2.2% - 050.7%
0.1.27
84.0k downloadsDownloads84.0k0.7% - 060.5%
0.1.23
58.9k downloadsDownloads58.9k0.5% - 070.3%
0.1.20
35.4k downloadsDownloads35.4k0.3% - 08<0.1%
0.1.25
955 downloadsDownloads955<0.1% - 09<0.1%
Other
2.0k downloadsDownloads2.0k<0.1%
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Thirteen recent days of dbl-tempo downloads. Drag the green handle on the right to guess where day fourteen lands.