# Is PyJulia being maintained?

**URL:** <https://discourse.julialang.org/t/is-pyjulia-being-maintained/82607>\
**Category:** Community\
**Tags:** pycall, python, pyjulia\
**Created:** [June 11, 2022, 9:03pm UTC](https://discourse.julialang.org/t/is-pyjulia-being-maintained/82607 "2022-06-11T21:03:52Z")\
**Posts on this page:** 1\
**Showing post:** 27

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**Author:** ![MilesCranmer](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/milescranmer/32/21070_2.png) [@MilesCranmer](https://discourse.julialang.org/u/MilesCranmer)\
**Post date:** [June 12, 2022, 5:32pm UTC](https://discourse.julialang.org/t/is-pyjulia-being-maintained/82607/27 "2022-06-12T17:32:06Z")

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> [@giordano](#):
>
> I totally understand your experience is different, but I have the feeling I’m also not alone in my experience, especially for people more invested in the Julia ecosystem than the Python one, which might explain why there seems to be a lack of interest.

I entirely agree with you. Nobody who uses 100% Julia would have a use-case for this, and if that is who you interact with, it can be hard to see outside the bubble. But most of industry, at least in my area of machine learning, use Python and C++. If they are a well-established company, they would never rewrite their software stack from scratch: they will introduce new languages and libraries gradually, relying on interoperability. So, for Julia even to get its foot in the door there, it requires good interop with Python. If it can do that, it will receive the support from any new adopter - hence it is a great return on investment.

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