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 80,645,247 times in total on PyPI, including 1,872,736 in the last 30 days. The latest version is 0.1.30, released Sep 15, 2025.
Version0.1.30
Downloads
80.65M
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 total19.43M
80.6MAll-time
1.9MLast 30 days
68.5kLast 24 h
0.71/sPer second
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Version distribution
Share of downloads by released version. Computed over the last quarter.
- 0178.5%
0.1.30
7.5M downloadsDownloads7.5M78.5% - 0212.2%
0.1.26
1.2M downloadsDownloads1.2M12.2% - 035.7%
0.1.22
545.3k downloadsDownloads545.3k5.7% - 041.8%
0.1.29
172.1k downloadsDownloads172.1k1.8% - 050.9%
0.1.27
87.6k downloadsDownloads87.6k0.9% - 060.5%
0.1.23
49.5k downloadsDownloads49.5k0.5% - 070.3%
0.1.20
29.5k downloadsDownloads29.5k0.3% - 08<0.1%
0.1.25
942 downloadsDownloads942<0.1% - 09<0.1%
Other
2.9k downloadsDownloads2.9k<0.1%
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