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If uv figures out a way to capture the scientific community by adding support for conda-forge that'll be the killshot for other similar projects, imo. Pixi is too half-baked currently and suffers from some questionable design decisions.





Out of curiosity, which design decisions do you find questionable and what do you feel is half-baked with Pixi? It's been working well for us.

which subfield of scientific community uses that? and for what purpose, if you could summarize

The key thing of conda-forge is that it's language (rust/go/c++/ruby/java/...) and platform (linux/macos/win/ppc64le/aarch64/...) agnostic rather than being python only.

If you want you can depend on a C++ and fortran compiler at runtime and (fairly) reliably expect it to work.




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