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 81,149,344 times in total on PyPI, including 1,860,631 in the last 30 days. The latest version is 0.1.30, released Sep 15, 2025.
Version0.1.30
Downloads
81.15M
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 total18.28M
81.1MAll-time
1.9MLast 30 days
64.3kLast 24 h
0.71/sPer second
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Version distribution
Share of downloads by released version. Computed over the last quarter.
- 0178.0%
0.1.30
7.0M downloadsDownloads7.0M78.0% - 0212.4%
0.1.26
1.1M downloadsDownloads1.1M12.4% - 035.9%
0.1.22
532.4k downloadsDownloads532.4k5.9% - 041.8%
0.1.29
165.9k downloadsDownloads165.9k1.8% - 051.0%
0.1.27
85.5k downloadsDownloads85.5k1.0% - 060.5%
0.1.23
47.9k downloadsDownloads47.9k0.5% - 070.3%
0.1.20
27.8k downloadsDownloads27.8k0.3% - 08<0.1%
0.1.25
845 downloadsDownloads845<0.1% - 09<0.1%
Other
2.9k downloadsDownloads2.9k<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.