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: 90,989 of 186,947
Downloads: 8,963
Daily
Ranking: 69,506 of 186,938
Downloads: 8
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 | 2,936,839,016 | bundler |
10 | 1,139,345,512 | rake |
27 | 913,996,669 | rspec |
99 | 417,231,535 | simplecov |
9,704 | 301,734 | yard-tomdoc |
19,167 | 82,849 | interpolate |
44,722 | 25,148 | ce-greenbutton |
Owners
# | Gravatar | Handle |
---|---|---|
1 | bjahner |