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 83,237,953 times in total on PyPI, including 1,878,465 in the last 30 days. The latest version is 0.1.30, released Sep 15, 2025.
Version0.1.30
Downloads
83.24M
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 total13.13M
83.2MAll-time
1.9MLast 30 days
67.2kLast 24 h
0.73/sPer second
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Version distribution
Share of downloads by released version. Computed over the last quarter.
- 0176.4%
0.1.30
4.9M downloadsDownloads4.9M76.4% - 0212.0%
0.1.26
771.7k downloadsDownloads771.7k12.0% - 036.5%
0.1.22
417.2k downloadsDownloads417.2k6.5% - 042.0%
0.1.29
128.8k downloadsDownloads128.8k2.0% - 051.2%
0.1.27
74.6k downloadsDownloads74.6k1.2% - 060.9%
0.1.25
56.8k downloadsDownloads56.8k0.9% - 070.6%
0.1.23
39.7k downloadsDownloads39.7k0.6% - 080.3%
0.1.20
21.3k downloadsDownloads21.3k0.3% - 09<0.1%
Other
2.6k downloadsDownloads2.6k<0.1%
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