Find usage statistics (imports, function calls, attribute access) for Python code-bases

Last update: May 2, 2022

Related tags

Overview

Python Library stats

This is a small library that allows you to query some useful statistics for Python code-bases. We currently report library imports, function calls and attributes.

Usage

In order to find all uses (imports / function calls / attribute queries) from library over codebase , run the following command:

python main.py --local_dir 
   
     --library_name

Example

Looking for all torchvision occurrences on the DETR codebase yields:

===========================================================================
                                  Imports
===========================================================================
                                                                    | Count
---------------------------------------------------------------------------
    torchvision                                                     : 4
    torchvision.ops._new_empty_tensor                               : 1
    torchvision.ops.misc._output_size                               : 1
    torchvision.ops.boxes.box_area                                  : 1
    torchvision.transforms                                          : 1
    torchvision.transforms.functional                               : 1
    torchvision.models._utils.IntermediateLayerGetter               : 1
===========================================================================
                                   Calls
===========================================================================
                                                                    | Count
---------------------------------------------------------------------------
    torchvision.__version__.split                                   : 2
    torchvision.ops.boxes.box_area                                  : 2
    torchvision.transforms.RandomCrop.get_params                    : 2
    torchvision._is_tracing                                         : 1
    torchvision.ops.misc._output_size                               : 1
    torchvision.ops._new_empty_tensor                               : 1
    torchvision.ops.misc.interpolate                                : 1
    torchvision.transforms.functional.crop                          : 1
    torchvision.transforms.functional.hflip                         : 1
    torchvision.transforms.functional.resize                        : 1
    torchvision.transforms.functional.pad                           : 1
    torchvision.transforms.functional.to_tensor                     : 1
    torchvision.transforms.RandomErasing                            : 1
    torchvision.transforms.functional.normalize                     : 1
    torchvision.models._utils.IntermediateLayerGetter               : 1
    torchvision.models.{?}                                          : 1
===========================================================================
                                   Attrs
===========================================================================
                                                                    | Count
---------------------------------------------------------------------------
    torchvision.__version__.split                                   : 2
    torchvision.ops.boxes.box_area                                  : 2
    torchvision.datasets.CocoDetection                              : 2
    torchvision.transforms.RandomCrop.get_params                    : 2
    torchvision._is_tracing                                         : 1
    torchvision.ops.misc._output_size                               : 1
    torchvision.ops._new_empty_tensor                               : 1
    torchvision.ops.misc.interpolate                                : 1
    torchvision.transforms.functional.crop                          : 1
    torchvision.transforms.functional.hflip                         : 1
    torchvision.transforms.functional.resize                        : 1
    torchvision.transforms.functional.pad                           : 1
    torchvision.transforms.functional.to_tensor                     : 1
    torchvision.transforms.RandomErasing                            : 1
    torchvision.transforms.functional.normalize                     : 1
    torchvision.models._utils.IntermediateLayerGetter               : 1
    torchvision.models                                              : 1

A very minimalistic python module that lets you track the time your code snippets take to run.

Clock Keeper A very minimalistic python module that lets you track the time your code snippets take to run. This package is available on PyPI! Run the