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: 91,335 of 187,967
Downloads: 9,167
Daily
Ranking: 46,450 of 187,960
Downloads: 9
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 | 3,047,993,597 | bundler |
| 10 | 1,178,214,454 | rake |
| 28 | 930,568,481 | rspec |
| 99 | 429,127,084 | simplecov |
| 9,438 | 329,505 | yard-tomdoc |
| 19,263 | 84,555 | interpolate |
| 44,725 | 25,805 | ce-greenbutton |
Owners
| # | Gravatar | Handle |
|---|---|---|
| 1 | bjahner |