pypkgsize 1.0.1

A Python package to analyze the disk usage of installed packages.

📦 PkgSize - Python Package Size Analyzer

PkgSize is a CLI tool and Python library for analyzing the disk space usage of installed Python packages, helping you manage your environments efficiently.

Core Features

• Comprehensive Size Analysis: Displays installed Python packages with their disk usage in human-readable formats (KB, MB, GB).
• Flexible Sorting: Sort packages by size (default), name, or installation date (feature to be confirmed/added if not present).
• Targeted Analysis:
  • Analyze packages in the current environment or specify a target virtual environment using --path <venv_path>.
  • Filter by package name (--name), size threshold (--threshold), or focus on packages imported in your project (--project-only <path_to_project>).
• In-depth Dependency Insights:
  • Use --include-deps to view a breakdown of package sizes including their unique dependencies.
  • The console output shows an indented tree of dependencies with individual sizes.
  • JSON exports include a detailed dependencies_breakdown structure.
• Detailed File Structure View: Use --tree to explore the internal directory tree and file sizes of each package.
• Versatile Export Options:
  • Export reports in JSON, CSV, or Markdown formats.
  • Specify an output directory with --output <directory> and format with --format <format>.
  • Console output is automatically suppressed when exporting to a file (unless overridden).
• Customizable Output:
  • Show only the top N largest packages (--top N).
  • Disable colorized CLI output with --no-color.
  • Minimize output for scripting with --quiet.
• Environment Comparison: Compare package sizes between two different Python environments (feature to be confirmed/added, e.g., --compare <path_to_other_venv>).

Key CLI Options

The pkgsize analyze command supports various options to customize the analysis:

• --name <package_name>: Filter results to show only specific packages (can be used multiple times).
• --top N: Display only the top N largest packages.
• --threshold SIZE: Filter out packages smaller than a specified size (e.g., 10MB, 1GB).
• --include-deps: Include the size of dependencies and show a breakdown.
• --path <venv_path>: Specify the path to a Python virtual environment to analyze its packages instead of the current environment.
• --project-only <project_path>: (To be implemented/confirmed) Only show packages used in a given .py file or directory.
• --tree: (To be implemented/confirmed) Show directory tree of package internals and file sizes.
• --output <directory_path>: Specify a directory to export the report.
• --format <json|csv|md>: Specify the output format for reports when using --output.
• --sort <size|name>: Sort packages by size (default) or name. (Add 'date' if implemented)
• --no-color: Disable CLI coloring.
• --quiet: Suppress informational messages and console output, useful when only exporting.
• --version: Display the version of PkgSize.
• --help: Show the help message and exit.

Installation

pip install pypkgsize

Basic Usage

Analyze packages in the current environment:

pkgsize analyze

Show the top 5 largest packages, including dependencies:

pkgsize analyze --top 5 --include-deps

Analyze packages in a specific virtual environment and export a CSV report:

pkgsize analyze --path /path/to/your/venv --output ./reports --format csv

Export a JSON report of packages larger than 50MB to the my_reports directory:

pkgsize analyze --threshold 50MB --output ./my_reports --format json

Analyze specific packages (e.g., requests and numpy):

pkgsize analyze --name requests --name numpy

Show the top 3 packages sorted by name:

pkgsize analyze --top 3 --sort name

Export a Markdown report of all packages, including dependencies, to the docs directory quietly (no console output):

pkgsize analyze --include-deps --output ./docs --format md --quiet