SwiftMeter

[WIP] Script to create statistical reports about Swift codebases

Installation

This script is written in Python 3. If you don't have Python installed, navigate to Python's website to download and install the software.
Clone the repository or download the meter.py file.
Open a new terminal tab/window and move to the directory where meter.py was downloaded.
follow the instructions below to analyze your swift code base.

Usage

Analytics for a single swift file

python meter.py -f path_to_swift_file

Get analytics for all swift files in a directory

python meter.py -d path_to_sources_directory

This will iterate over all swift files in the given directory and its subdirectories recursively

Create shields.io badges for the README

Add the -b flag to the end to create shields.io badges.

python meter.py -d path_to_sources_directory -b

Output the results into a file

python meter.py -d path_to_sources_directory -o file_path_to_export

Verbose logging

Add the -v flag to the end to create log verbose messages while processing swift files.

python meter.py -d path_to_sources_directory -v

Help

To learn more about usage use the -h flag

python meter.py -h

Example output

Swift codebase statistics:
{
    "swift_files": 56,
    "total_lines": 8941,
    "code_lines": 4207,
    "enums": 6,
    "classes": 0,
    "structs": 5,
    "extensions": 101,
    "functions": 229,
    "static_functions": 40,
    "variables": 220,
    "static_variables": 502,
    "ib_inspectables": 28,
    "initializers": 10,
    "failable_initializers": 9,
    "operators": 11,
    "total_non_static_units": 468,
    "total_static_units": 542,
    "total_units": 1010
}

Found an Issue?

If you find a bug or a mistake in the source code, you can help us by submitting an issue. Even better you can submit a Pull Request with a fix!

License

SwiftMeter is released under the MIT License.

SwifterSwift / SwiftMeter

readme