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: 92,069 of 191,663
Downloads: 9,360
Daily
Ranking: 105,966 of 191,631
Downloads: 2
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 | 3,307,050,676 | bundler |
| 8 | 1,279,267,565 | rake |
| 29 | 966,377,450 | rspec |
| 99 | 456,525,577 | simplecov |
| 6,651 | 753,967 | yard-tomdoc |
| 19,173 | 89,189 | interpolate |
| 45,115 | 26,395 | ce-greenbutton |
Owners
| # | Gravatar | Handle |
|---|---|---|
| 1 | bjahner |