Comments (5)
fwiw we've moved everything at Ackama to use Poetry, though we were previously primarily using pip
/ pip-compile
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/cc @di for input
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@G-Rath pip-compile
is one of the choices we are thinking of going with, any particular reason you folks moved to Poetry
?
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It was primarily that we found Poetry tends to mirror a lot of the other dependency managers we're using like npm
, composer
, bundler
, making us feel better about managing dependencies with it e.g. we can do "poetry update " to get a security update for some nested child package without having everything else upgraded or having to add that package as a direct dependency, and all the packages are captured in the single predictably-placed file that is poetry.lock
regardless of what group they're in (rather than requirements.dev
and what have you)
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FWIW: Poetry's resolution strategy doesn't exactly match pip
's, meaning that the two shouldn't be assumed to be always consistent/identical for all resolutions. This may or may not matter, depending on your deployment environment/conditions 🙂
In terms of consistency with the larger ecosystem (and PyPA in particular), my recommendation would be pip-compile
: it uses pip
's own resolver, and would mirror what PyPI and other large codebases use to keep their Python dependencies fully pinned.
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