https://img.shields.io/pypi/v/grimp.svg Python versions CI Status Codspeed BSD license

Builds a queryable graph of the imports within one or more Python packages.

Quick start

Install grimp:

pip install grimp

Install the Python package you wish to analyse:

pip install somepackage

In Python, build the import graph for the package:

>>> import grimp
>>> graph = grimp.build_graph('somepackage')

You may now use the graph object to analyse the package. Some examples:

>>> graph.find_children('somepackage.foo')
{
    'somepackage.foo.one',
    'somepackage.foo.two',
}

>>> graph.find_descendants('somepackage.foo')
{
    'somepackage.foo.one',
    'somepackage.foo.two',
    'somepackage.foo.two.blue',
    'somepackage.foo.two.green',
}

>>> graph.find_modules_directly_imported_by('somepackage.foo')
{
    'somepackage.bar.one',
}

>>> graph.find_upstream_modules('somepackage.foo')
{
    'somepackage.bar.one',
    'somepackage.baz',
    'somepackage.foobar',
}

>>> graph.find_shortest_chain(importer='somepackage.foobar', imported='somepackage.foo')
(
    'somepackage.foobar',
    'somepackage.baz',
    'somepackage.foo',
)

>>> graph.get_import_details(importer='somepackage.foobar', imported='somepackage.baz'))
[
    {
        'importer': 'somepackage.foobar',
        'imported': 'somepackage.baz',
        'line_number': 5,
        'line_contents': 'from . import baz',
    },
]

External packages

By default, external dependencies will not be included. This can be overridden like so:

>>> graph = grimp.build_graph('somepackage', include_external_packages=True)
>>> graph.find_modules_directly_imported_by('somepackage.foo')
{
    'somepackage.bar.one',
    'os',
    'decimal',
    'sqlalchemy',
}

Multiple packages

You may analyse multiple root packages. To do this, pass each package name as a positional argument:

>>> graph = grimp.build_graph('somepackage', 'anotherpackage')
>>> graph.find_modules_directly_imported_by('somepackage.foo')
{
    'somepackage.bar.one',
    'anotherpackage.baz',
}

Namespace packages

Graphs can be built either from namespace packages or from their portions.

What’s a namespace package?

Namespace packages are a Python feature allows subpackages to be distributed independently, while still importable under a shared namespace.

This is used by the Python client for Google’s Cloud Logging API, for example. When installed, it is importable in Python as google.cloud.logging. The parent packages google and google.cloud are both namespace packages, while google.cloud.logging is known as the ‘portion’. Other portions in the same namespace can be installed separately, for example google.cloud.secretmanager.

Examples:

# In this one, the portion is supplied. Neither "google" nor "google.cloud"
# will appear in the graph.
>>> graph = grimp.build_graph("google.cloud.logging")

# In this one, a namespace is supplied.
# Neither "google" nor "google.cloud" will appear in the graph,
# as will other installed packages under the "google" namespace such
# as "google.auth".
>>> graph = grimp.build_graph("google")

# This one supplies a subnamespace of "google" - it will include
# "google.cloud.logging" and "google.cloud.secretmanager" but not "google.auth".
>>> graph = grimp.build_graph("google.cloud")

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for seddonym from gravatar.com seddonym

Credits

Author: David Seddon

License

BSD License (BSD 2-Clause License)

Requires

Python >=3.10

Classifiers

Report project as malware

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Source Distribution

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Release history Release notifications | RSS feed

This release

3.17 This release

112 files

3.16

112 files

3.15

95 files

3.14

105 files

3.13

111 files

3.12

111 files

3.11

107 files

Yanked

3.10

107 files

Yanked reason: Much slower graph building

3.9

107 files

3.8.2

107 files

3.8.1

107 files

3.8

107 files

3.7.1

97 files

3.7

97 files

3.6

97 files

3.5

91 files

3.4.1

101 files

3.4

99 files

3.3

101 files

Pre-release

3.3a1

97 files

3.2

73 files

3.1

65 files

3.0

65 files

Pre-release

3.0b3

65 files

Pre-release

3.0b2

65 files

Pre-release

3.0b1

2 files

2.5

2 files

2.4

2 files

2.3

1 file

2.2

1 file

2.1

1 file

2.0

1 file

1.3

1 file

1.2.3

1 file

1.2.2

1 file

1.2.1

1 file

1.2

1 file

1.1

1 file

1.0

1 file

Pre-release

1.0b13

1 file

Pre-release

1.0b12

1 file

Pre-release

1.0b11

1 file

Pre-release

1.0b10

1 file

Pre-release

1.0b9

1 file

Pre-release

1.0b8

1 file

Pre-release

1.0b7

1 file

Pre-release

1.0b6

1 file

Pre-release

1.0b5

1 file

Pre-release

1.0b4

1 file

Pre-release

1.0b3

1 file

Pre-release

1.0b2

1 file

Pre-release

1.0b1

1 file

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