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: 90,984 of 186,698
Downloads: 8,852
Daily
Ranking: 89,132 of 186,685
Downloads: 3
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 | 2,900,560,356 | bundler |
10 | 1,125,994,016 | rake |
27 | 908,151,619 | rspec |
99 | 412,766,531 | simplecov |
9,665 | 300,263 | yard-tomdoc |
19,128 | 82,357 | interpolate |
44,734 | 24,835 | ce-greenbutton |
Owners
# | Gravatar | Handle |
---|---|---|
1 | bjahner |