LngDetectoR is a Python tool designed to analyze directories and detect the programming languages used within files. It generates a comprehensive report detailing the count of files, lines of code, and the percentage of each language present.
To install LngDetectoR, you can use pip:
pip install LngDetectoRLngDetectoR can be utilized directly from the command line. Basic usage is as follows:
lngdetector --directory <path-to-directory>--directory: Specifies the directory to analyze. If not specified, it defaults to the current working directory.
LngDetectoR can also be used within your Python scripts.
Example:
from lngdetector.detect import generate_report
# Generate a report for the specified directory
report = generate_report('/path/to/your/project')
# Display the report in a pretty table format
report.print_pretty_table()
# Retrieve data for a specific language
python_data = report.get_language_data('Python')
print(f"Python files: {python_data['count']}, lines of code: {python_data['lines']}")When you run LngDetectoR, it generates a table with the detected languages, file counts, lines of code, and their percentage contributions. Here's an example of what the output might look like:
Total files: 50
Total lines of code: 1200
+------------+------------+---------------+------------+
| Language | File Count | Lines of Code | Percentage |
+------------+------------+---------------+------------+
| Python | 20 | 500 | 41.67% |
| JavaScript | 15 | 350 | 29.17% |
| HTML | 10 | 200 | 16.67% |
| CSS | 5 | 150 | 12.50% |
+------------+------------+---------------+------------+
Contributions, issues, and feature requests are welcome! Feel free to check the issues page for a list of proposed features (and known issues).
This project is licensed under the MIT License.