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.
Version0.1.30
Downloads
65.98M
License—
AuthorRicardo Portilla, Tristan Nixon, Max Thone, Sonali Guleria
Downloads
Weekly, last 90d.
Includes CI traffic.
VersionsTotal0.*
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Stack: OffCI: Included2 / 31 series
Selected total17.64M
66.0MAll-time
3.3MLast 30 days
121.0kLast 24 h
1.42/sPer second
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Version distribution
Share of downloads by released version. Computed over the last quarter.
- 0171.7%
0.1.30
6.3M downloadsDownloads6.3M71.7% - 0217.1%
0.1.26
1.5M downloadsDownloads1.5M17.1% - 034.9%
0.1.22
431.5k downloadsDownloads431.5k4.9% - 043.0%
0.1.29
261.7k downloadsDownloads261.7k3.0% - 051.4%
0.1.25
121.8k downloadsDownloads121.8k1.4% - 061.0%
0.1.27
87.4k downloadsDownloads87.4k1.0% - 070.6%
0.1.23
54.6k downloadsDownloads54.6k0.6% - 080.4%
0.1.20
33.5k downloadsDownloads33.5k0.4% - 09<0.1%
Other
3.3k downloadsDownloads3.3k<0.1%
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