I&#x27;m only thinking about CRAN &gt; PyPI in terms of statistical packages. CRAN is where new statistical analysis techniques &#x2F; packages are initially published. If you&#x27;re lucky they might get ported to Python after the fact. I didn&#x27;t even mention Bioconductor, which is another beast entirely. There isn&#x27;t an equivalent of Bioconductor for Python at all.<p>And the last time I checked, &quot;pip install numpy&quot; could be quite a pain, especially if you needed to compile dependencies. Rstudio makes it ridiculously easy to install R and add packages.<p>However - for all other types of packages, PyPI is obviously superior. The breadth of packages on PyPI is much better than CRAN.<p>It about choosing the right tool for the job.