# Onnx support for Julia ML frameworks

**URL:** <https://discourse.julialang.org/t/onnx-support-for-julia-ml-frameworks/9035>\
**Category:** Machine Learning\
**Tags:** question\
**Created:** [February 13, 2018, 2:09pm UTC](https://discourse.julialang.org/t/onnx-support-for-julia-ml-frameworks/9035 "2018-02-13T14:09:53Z")\
**Posts on this page:** 1\
**Showing post:** 10

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**Author:** ![anon92994695](https://avatars.discourse-cdn.com/v4/letter/a/ce7236/32.png) [@anon92994695](https://discourse.julialang.org/u/anon92994695)\
**Post date:** [August 24, 2020, 8:35pm UTC](https://discourse.julialang.org/t/onnx-support-for-julia-ml-frameworks/9035/10 "2020-08-24T20:35:50Z")

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Probably worth stating that in industry ONNX is somewhat of a big deal. Might be a missing cornerstone for many people adopting the toolset. Letting people prototype in julia and export to ONNX could be a foot in the door for some groups. Otherwise, people are wasting a lot of electrons(rebuilding and retraining) or investing pretty heavily in something new (most managers don’t like that).

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