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pipforester 1.0.1
pipforester
Forester tools for pipdeptree outputs to analyze and cleanup the dependency graph of installed pip packages.
Features
clean up a graph to remove direct dependencies if a transitive dependency exists and output it as dot-file.
detect transitive cyclic dependencies
color them in the graph
show them as separate graphs in one dot-file
exit pipforester with exit code 1 if there are cycles detected
Installation:
Create an empty virtual environment, separate from the environment to work on.
pip install pipdeptree pipforester
Dependent on your operation system you
want to install a program to view dot-files, like xdot i.e. with apt install xdot on Debian/Ubuntu-based systems.
or use graphviz to convert dot-files to PNG/SVG.
Usage
First, call pipdeptree on a virtual environment to create a JSON file of the installed dependencies,
and second call pipforester to create a cleaned-up dot file.
pipdeptree --python path/to/venv/bin/python -j >forest.json
pipforester -i forest.json -o forest.dot
Finally use a Graphviz DOT-file visualizer, i.e. xdot on Linux, to view the graph.
xdot forest.dot
Or use the dot command line program to generate an SVG or PNG:
dot -Tsvg -o forest.svg forest.dot
dot -Tpng -o forest.png forest.dot
To generate a graph containing only cyclic transitive dependencies, use the --cycles option:
pipdeptree -j >forest.json
pipforester -i forest.json -o forest.dot --cycles
To detect cyclic transitive dependencies and exit with 1 if there is at least one, use the --check-cycles option.
It does not generate an output graph and is meant for usage in CI.
pipdeptree -j >forest.json
pipforester -i forest.json --check-cycles
See pipforester --help for details.
Changes
1.0.1 (2023-07-14)
use transitive_reduction from the NetworkX module to speed up edge removal. [@gogobd]
1.0.0 (2023-05-16)
fix the cyclic dependency display to show all edges of a cycle in dark violet. [@jensens]
fix graph of cycles not to show graph multiple times. [@jensens]
1.0.0a1 (2023-05-15)
initial code [@jensens]
License
Copyright (c) 2022-2023, mxstack Contributors
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
Redistributions of source code must retain the above copyright notice, this
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