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Commit Frequency Analyzer

Analyze Git commit activity by day, week or month and identify busy periods.

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Choose the bucket

Daily buckets expose bursts; weekly and monthly buckets smooth short-term noise.

Date meaning

Decide whether your export uses author date or committer date before comparing periods.

Investigate peaks

Busy periods can coincide with releases, migrations or deadlines; the chart alone cannot establish why.

Useful command

git log --all --date=short --format='%ad|%an|%H|%s'

About Commit Frequency Analyzer

Commit Frequency Analyzer is designed for a specific Git workflow: analyze git commit activity by day, week or month and identify busy periods.

You can paste the relevant Git output or upload an existing text file. The tool validates the input, processes only information it can actually identify, and presents a focused result instead of adding unsupported assumptions.

The supporting information tabs are intentionally separate from the main documentation. They provide practical Git concepts and commands that help users make better use of the result.

Features

  • Paste or upload text-based Git data.
  • Tool-specific parsing and calculations.
  • Clear validation and error handling.
  • Useful statistics and structured output.
  • Copy/download controls where appropriate.
  • Responsive mobile interface.
  • Task-specific Git guidance.
  • No unnecessary dependencies.

How to Use

  1. Paste your Git export or upload the existing file.
  2. Choose any available tool option.
  3. Run the tool.
  4. Review the result and statistics.
  5. Use the focused information tabs for deeper context.
  6. Copy, download or print the result when available.

Examples

Example 1: Upload a saved Git log instead of pasting hundreds of lines.

Example 2: Generate a report for a selected release period.

Example 3: Use the sample first to understand the expected export shape.

Example 4: Copy the result into a ticket, spreadsheet or engineering report.

Example 5: Re-run the analysis with a narrower history when investigating a specific event.

Benefits

  • Turns raw Git output into usable information.
  • Works with existing exported files.
  • Reduces manual counting and reformatting.
  • Keeps results tied to supplied data.
  • Provides practical Git context without cluttering the main workflow.
  • Supports repeatable local analysis.

Frequently Asked Questions

Can I upload an existing file?
Yes. The tool accepts a text-based export through Upload file and fills the input automatically.
Can I paste instead?
Yes. Pasting is supported for short or copied Git output.
What happens with malformed data?
The parser uses recognizable fields and reports when there is not enough usable input rather than inventing values.
Can I export the result?
Structured analysis tools provide copy and download controls where an export is useful.
Does an uploaded command execute?
No. Files are read as text only. The command builder generates text and never executes it.
What file size is supported?
A 5 MB browser-side limit is used to keep the interface responsive.
Does it modify my repository?
No. These tools work from supplied text and do not connect to or change a Git repository.
Where can I learn more?
Use the task-specific tabs below the tool for focused Git concepts, commands and interpretation guidance.