Suppose you have a 'foobar' Python application that is packaged using Setuptools,Īnd you want to pin it for production. In projects that use modern standards-adhering packaging tools like Official standard, you can use pip-compile to pin the dependencies Supports both installing your pendencies as well as your Packages and applications, and is recommended for new projects. To compile from scratch, first delete the existingįor alternative approaches. Note: If pip-compile finds an existing requirements.txt file thatįulfils the dependencies then no changes will be made, even if updates areĪvailable. Or other environment markers, resolve relative to your project's Project so conditional dependencies that require a specific Python version, Pip-compile should be run from the same virtual environment as your Run py -X.Y -m piptools compile on Windows and pythonX.Y -m piptools compile If you use multiple Python versions, you can also Pipx run -spec pip-tools pip-compile if pipx was installed with theĪppropriate Python version). Run it with pip-compile or python -m piptools compile (or Your dependencies, specified in either pyproject.toml, setup.cfg, The pip-compile command lets you compile a requirements.txt file from Note: all of the remaining example commands assume you've activated your Virtual environments: $ source /path/to/venv/bin/activate Similar to pip, pip-tools must be installed in each of your project's You do pin them, right? (In building your Python application and its dependencies for production, you want to make sure that your builds are predictable and deterministic.) A set of command line tools to help you keep your pip-based packages fresh,Įven when you've pinned them.
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