# Julia as a universal platform for statistical software development

**URL:** <https://discourse.julialang.org/t/julia-as-a-universal-platform-for-statistical-software-development/113017>\
**Category:** Community\
**Tags:** announcement\
**Created:** [April 16, 2024, 2:11pm UTC](https://discourse.julialang.org/t/julia-as-a-universal-platform-for-statistical-software-development/113017 "2024-04-16T14:11:28Z")\
**Posts on this page:** 1\
**Showing post:** 12

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**Author:** ![Palli](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/palli/32/3380_2.png) [@Palli](https://discourse.julialang.org/u/Palli)\
**Post date:** [April 17, 2024, 10:55pm UTC](https://discourse.julialang.org/t/julia-as-a-universal-platform-for-statistical-software-development/113017/12 "2024-04-17T22:55:15Z")

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> [@droodman](#):
>
> presenting a vision of using Julia as a universal back end for statistical software development. Do things once in Julia–optimize, maintain, add features–then call from R or Python or Matlab or Stata.

It’s a great vision, that I share (for selfish reasons, helps add or improve Julia packages). I would say there’s nothing about the vision limiting it to stats… so you could amend the title, or keep as you wish. Thanks for adding Stata to the list. Even if only viable for it or other language, e.g. Python, then worthwhile. I know you can call easily to Python, I did (then with PyCall; also to MATLAB and Octave), and from Python, and believe it’s very solid with PythonCall, hopefully as good for Stata (does it download Julia for you? and take care of Julia package dependencies?). As explained can call from R, and to (with temporary maintenance issues, should be easily fixed) R.

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