While `uv` works amazingly well I think a lot of people don't realize that installing packages through conda (or let's say the conda-forge ecosystem) has technical advantages compared to wheels/pypi.
When you install the numpy wheel through `uv` you are likely installing a pre-compiled binary that bundles openblas inside of it. When you install numpy through conda-forge, it dynamically links against a dummy blas package that can be substituted for mkl, openblas, accelerate, whatever you prefer on your system. It's a much better solution to be able to rely on a separate package rather than having to bundle every dependency.
Then lets say you install scipy. Scipy also has to bundle openblas in their wheel, and now you have two copies of openblas sitting around. They don't conflict, but this quickly becomes an odd thing to have to do.
When you install the numpy wheel through `uv` you are likely installing a pre-compiled binary that bundles openblas inside of it. When you install numpy through conda-forge, it dynamically links against a dummy blas package that can be substituted for mkl, openblas, accelerate, whatever you prefer on your system. It's a much better solution to be able to rely on a separate package rather than having to bundle every dependency.
Then lets say you install scipy. Scipy also has to bundle openblas in their wheel, and now you have two copies of openblas sitting around. They don't conflict, but this quickly becomes an odd thing to have to do.