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 77,498,498 times in total on PyPI, including 4,163,499 in the last 30 days. The latest version is 0.1.30, released Sep 15, 2025.
Version0.1.30
Downloads
77.50M
License—
AuthorRicardo Portilla, Tristan Nixon, Max Thone, Sonali Guleria
Downloads
Weekly, last 90d.
Includes CI traffic.
VersionsTotal0.*
Range
View
Granularity
Group by
CI traffic
Stack: OffCI: Included2 / 31 series
Selected total24.22M
77.5MAll-time
4.2MLast 30 days
146.1kLast 24 h
1.60/sPer second
Sponsored
Sponsorships keep pepy free to read
Version distribution
Share of downloads by released version. Computed over the last quarter.
- 0179.9%
0.1.30
9.7M downloadsDownloads9.7M79.9% - 0212.0%
0.1.26
1.5M downloadsDownloads1.5M12.0% - 034.7%
0.1.22
569.6k downloadsDownloads569.6k4.7% - 041.9%
0.1.29
230.8k downloadsDownloads230.8k1.9% - 050.8%
0.1.27
93.4k downloadsDownloads93.4k0.8% - 060.4%
0.1.23
47.5k downloadsDownloads47.5k0.4% - 070.3%
0.1.20
36.4k downloadsDownloads36.4k0.3% - 08<0.1%
0.1.25
1.0k downloadsDownloads1.0k<0.1% - 09<0.1%
Other
2.2k downloadsDownloads2.2k<0.1%
Guess the next day
Thirteen recent days of dbl-tempo downloads. Drag the green handle on the right to guess where day fourteen lands.