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After thinking about it, I don't really have a use-case for dependency locking. I only use the lock file to install dependencies under multiple Python versions. I don't track it, I don't have reproducible builds in CI (tradeoff for other maintenance benefits). So I could definitely switch to something lighter like Hatch, which simply installs dependencies using pip IIUC. Hatch also provides environments isolation, which is very interesting to me. My dev-deps pollute the version resolution of my prod-deps, while most of the time, my dev-deps work statically, so do not require having the prod-deps installed (pytest is the exception).
So, todo:
try Hatch in an existing project, see if the migration is smooth (articles? guides?)
see how Hatch environments fit my workflow, if their verbosity in pyproject.toml is maintainable
see if Hatch's output is configurable: I want to retain my very minimalist output, it's non-negociable 🙂
see the perfs: installing deps, updating deps, running check/test commands
see if Hatch's recent ability to install compiled Python versions fits my workflow
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After thinking about it, I don't really have a use-case for dependency locking. I only use the lock file to install dependencies under multiple Python versions. I don't track it, I don't have reproducible builds in CI (tradeoff for other maintenance benefits). So I could definitely switch to something lighter like Hatch, which simply installs dependencies using pip IIUC. Hatch also provides environments isolation, which is very interesting to me. My dev-deps pollute the version resolution of my prod-deps, while most of the time, my dev-deps work statically, so do not require having the prod-deps installed (pytest is the exception).
So, todo:
Boost priority
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