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> PDM is meant to be a next generation Python package management tool. It was originally built for personal use. If you feel you are going well with Pipenv or Poetry and don't want to introduce another package manager, just stick to it. But if you are missing something that is not present in those tools, you can probably find some goodness in pdm.
Having used PDM a bit, its ambition in my opinion may not be to replace existing tools, but rather to experiment and implement the most recent PEPs related to packaging.
While you can argue about PEP 582[1] implementation (which is still in draft), PDM doesn't prevent anyone from using virtual environments, and even provides a plugin to support it (https://github.com/pdm-project/pdm-venv).
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> PDM is meant to be a next generation Python package management tool. It was originally built for personal use. If you feel you are going well with Pipenv or Poetry and don't want to introduce another package manager, just stick to it. But if you are missing something that is not present in those tools, you can probably find some goodness in pdm.
Having used PDM a bit, its ambition in my opinion may not be to replace existing tools, but rather to experiment and implement the most recent PEPs related to packaging.
While you can argue about PEP 582[1] implementation (which is still in draft), PDM doesn't prevent anyone from using virtual environments, and even provides a plugin to support it (https://github.com/pdm-project/pdm-venv).
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The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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dephell
Discontinued :package: :fire: Python project management. Manage packages: convert between formats, lock, install, resolve, isolate, test, build graph, show outdated, audit. Manage venvs, build package, bump version.
You jest and yet...
https://github.com/dephell/dephell
Dephell is a converter for python packaging systems. It can turn poetry files into requirements.txt, or setuptools' setup.py into pipenv's Pipfile etc.
Python Packaging: There is More Than One Way to Do It
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it seems like you are posting on the wrong platform, github is that --> way :}
the pip team has introduced strict performance checks to ensure the new resolver was not significantly slower than the old. they solicited requirements files to weed out situations exactly like the one you describe. for example https://github.com/pypa/pip/issues/8664
if you want it improved, please report it.