tokei

Display a report for the code in a directory and all subdirectories

$ tokei [path/to/directory]

$ tokei [path/to/directory] [[-e|--exclude]] [*.min.js]

$ tokei [path/to/directory] [[-f|--files]]

$ tokei [path/to/directory] [[-t|--type]] [Rust],[Markdown]

tokei [OPTIONS] [PATH...]

--help
    Display help information.

--version
    Display version information.

-l, --languages
    List supported languages.

-o, --output
    Output in a specific format (e.g., json, toml, yaml, compact, csv, short).

-f, --files
    Restrict file types to analyze, specified as a comma-separated list (e.g., rs,cpp).

-e, --exclude
    Exclude paths from analysis. Can specify multiple paths.

-i, --ignore
    Exclude files based on .ignore or .gitignore. Can specify multiple files.

-n, --no-ignore
    Do not use ignore files

-d, --disable
    Disable specified language(s).

-c, --categories
    Filter Languages by category (markup,procedural...).

PATH...
    Paths to analyze. Defaults to the current directory if none is specified.

Tokei is a program that counts lines of code. Unlike simple line counters, Tokei recognizes different types of files, ignores blank lines, and provides a breakdown of the codebase by language. It's designed to be accurate and efficient, offering more insights than just raw line counts. Tokei supports a wide array of programming languages. It's especially useful for projects where understanding the distribution of code across different languages is important, for tracking project size and complexity, or for auditing codebases.

Tokei works by examining file extensions and content to determine the programming language. It then parses the file, identifying code lines, blank lines, and comments. The results are presented in a clear, organized format, showing the number of files, lines of code, blank lines, and comment lines for each language. Tokei is cross-platform and can be used on Linux, macOS, and Windows.

Tokei relies on file extensions for language detection, which might not always be accurate. For complex or ambiguous projects, results may need verification. Incorrectly configured ignore files can lead to inaccurate results.

Tokei can output data in various formats, including JSON, TOML, YAML, CSV, compact and short. This allows for easy integration with other tools and scripts for further analysis and reporting.

Tokei is generally fast, but performance can degrade on very large codebases with many files. Excluding irrelevant directories or using the file type filter can improve performance.

Tokei is a relatively newer tool compared to traditional line counting utilities. It was developed to provide more accurate and insightful code statistics by recognizing different programming languages and filtering out comments and blank lines. It's gained popularity in recent years as a more sophisticated alternative to simple line counting tools.

wc(1), cloc(1)