Python dependency management for multiple architectures

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I want to manage dependencies for a python package being deployed across architectures/OS, without needing to compile any requirements from source - especially important when more development occurs on Mac M1 arm64 chips.

Is there a tool/dependency manager that can identify a series of pre-built package versions which support a list of architectures? i.e. both the development and target deployment environments?

Related question about python-poetry for development on x86_64 and deployment on arm7vl - not possible.

Related blog post on managing multiple conda installations for different architectures - not ideal, would rather manage a single set of dependencies.

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