Commit Frequency Calculator
Calculate average commits per day over a period and see whether activity is trending up or down.
Inputs
Total commits made across the analyzed time window.
Number of days in the analyzed window.
Commits made in the second half of the period, to gauge trend direction.
Average Commits per Day
8.00/day
Activity Trend
Accelerating
Trend Change
66.7%
Recent Half Rate
10.00/day
Step by step
Commits per day
240 / 30
= 8.00/day
Recent half rate
150 / 15.0
= 10.00/day
Trend vs earlier half
(10.00 - 6.00) / 6.00
= 66.7%
How it works
Commit frequency is a coarse but useful activity signal. Formula: commits_per_day = total_commits / days. Splitting the window in half and comparing rates reveals whether activity is accelerating, slowing, or steady — useful for spotting a stalling project or a crunch period before a release.
Formulas
Commits per day
commits_per_day = total_commits / days
- total_commits
- Total commits in the analyzed period
- days
- Number of days in the period
Trend percentage
trend_percent = (recent_rate - early_rate) / early_rate × 100
- recent_rate
- Commits per day in the recent half
- early_rate
- Commits per day in the earlier half
Frequently Asked Questions
Is a higher commit frequency always better?
Not necessarily — commit frequency reflects activity, not quality or value delivered. Squash-merging workflows naturally show fewer, larger commits than teams that commit incrementally.
How do I get commit counts and dates from Git?
Use `git log --since=<date> --oneline | wc -l` for a total count, or `git log --format=%ad --date=short` piped into a grouping script to see daily/weekly breakdowns.
What causes a sudden drop in commit frequency?
Common causes include holidays, a team between sprints, contributors blocked on a dependency, or the project shifting to a maintenance phase with fewer active changes.
Should I compare commit frequency across repos?
Only cautiously — team size, commit granularity (squash vs. many small commits), and workflow conventions all affect raw frequency, so it's most useful as a trend within one repo over time.
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