Categories: None [Edit]
ce-bucketize
aggregate consumption data with heterogeneous granularity across time into systematic intervals.
These intervals are then either multiplied with a relevant tariff value then summed into daily totals,
or directly summed into daily totals. The simplest example would be to sum hourly data into daily totals,
subject to data completeness checks and multiply them with a single tariff number.
Total
Ranking: 91,221 of 187,591
Downloads: 9,118
Daily
Ranking: 86,396 of 187,571
Downloads: 7
Downloads Trends
Ranking Trends
Num of Versions Trends
Popular Versions (Major)
Popular Versions (Major.Minor)
Depended by
| Rank | Downloads | Name |
|---|
Depends on
| Rank | Downloads | Name |
|---|---|---|
| 1 | 3,011,203,451 | bundler |
| 10 | 1,165,649,814 | rake |
| 28 | 925,037,502 | rspec |
| 98 | 425,235,126 | simplecov |
| 9,471 | 324,563 | yard-tomdoc |
| 19,218 | 84,135 | interpolate |
| 44,723 | 25,642 | ce-greenbutton |
Owners
| # | Gravatar | Handle |
|---|---|---|
| 1 | bjahner |