Examples¶

All examples below are generated from the Kubernetes repository — one of the largest open-source Go projects with 135k+ commits and thousands of contributors.

History Analyzers¶

Burndown¶

The burndown chart shows how code survives over time: each colored band represents code written in a specific period, and its height shows how many lines from that period are still present at each sample point.

codefang run -a history/burndown --format plot /path/to/repo > burndown.html

See the Burndown analyzer docs for configuration options.

Couples¶

The couples chart visualizes co-change relationships between files — files that are frequently modified together in the same commits.

codefang run -a history/couples --format plot /path/to/repo > couples.html

See the Couples analyzer docs for configuration options.

File History¶

The file history chart shows the most frequently modified files across the repository's entire commit history.

codefang run -a history/file-history --format plot /path/to/repo > file-history.html

See the File History analyzer docs for configuration options.

Anomaly Detection¶

The anomaly chart detects unusual patterns in commit activity — spikes or drops that deviate significantly from the repository's normal rhythm.

codefang run -a history/anomaly --format plot /path/to/repo > anomaly.html

See the Anomaly Detection analyzer docs for configuration options.

Imports (History)¶

The imports history chart tracks how import dependencies evolve over the repository's commit history.

codefang run -a history/imports --format plot /path/to/repo > imports-history.html

Developers¶

The developer dashboard shows contributor activity, workload distribution, language expertise, and code churn across the project's history.

codefang run -a history/devs --format plot /path/to/repo > devs.html

See the Developers analyzer docs for configuration options.

Sentiment¶

The sentiment chart shows the emotional tone of commit messages over the project's history, detecting periods of positive or negative developer sentiment.

codefang run -a history/sentiment --format plot /path/to/repo > sentiment.html

See the Sentiment analyzer docs for configuration options.

Shotness¶

The shotness charts visualize function-level co-change patterns — which functions are frequently modified together across commits.

codefang run -a history/shotness --format plot /path/to/repo > shotness.html

See the Shotness analyzer docs for configuration options.

Typos¶

The typos chart detects potential typos and misspellings in identifiers across the codebase's commit history.

codefang run -a history/typos --format plot /path/to/repo > typos.html

See the Typos analyzer docs for configuration options.

Quality¶

The quality charts track code quality metrics (complexity and Halstead volume) over the commit history, showing how code quality evolves.

codefang run -a history/quality --format plot /path/to/repo > quality.html

Static Analyzers¶

Complexity¶

The complexity charts show cyclomatic and cognitive complexity metrics for the most complex functions in the codebase.

codefang run -a static/complexity --format plot /path/to/repo > complexity.html

See the Complexity analyzer docs for configuration options.

Halstead¶

The Halstead charts measure software complexity through operator/operand counting — effort, difficulty, and volume metrics.

codefang run -a static/halstead --format plot /path/to/repo > halstead.html

See the Halstead analyzer docs for configuration options.

Cohesion¶

The cohesion charts measure how well the methods within a class or struct relate to each other. Higher cohesion indicates better-designed components.

codefang run -a static/cohesion --format plot /path/to/repo > cohesion.html

See the Cohesion analyzer docs for configuration options.

Comments¶

The comments charts analyze documentation coverage — comment density, lines of code, and documentation scores across the codebase.

codefang run -a static/comments --format plot /path/to/repo > comments.html

See the Comments analyzer docs for configuration options.

Imports (Static)¶

The static imports charts show the most used import packages and their categorization across the codebase.

codefang run -a static/imports --format plot /path/to/repo > imports.html

See the Imports analyzer docs for configuration options.