# Way to train model in Julia and deploy in Javascript?

**URL:** <https://discourse.julialang.org/t/way-to-train-model-in-julia-and-deploy-in-javascript/34002>\
**Category:** Machine Learning\
**Tags:** question\
**Created:** [January 30, 2020, 11:53pm UTC](https://discourse.julialang.org/t/way-to-train-model-in-julia-and-deploy-in-javascript/34002 "2020-01-30T23:53:43Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![djsegal](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/djsegal/32/13752_2.png) [@djsegal](https://discourse.julialang.org/u/djsegal)\
**Post date:** [January 30, 2020, 11:53pm UTC](https://discourse.julialang.org/t/way-to-train-model-in-julia-and-deploy-in-javascript/34002/1 "2020-01-30T23:53:43Z")

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I recently built an Airbnb price prediction [tool](https://djsegal.github.io/pad_pricer/) in Javascript. However I had to do a lot of my initial [work](https://github.com/djsegal/pad_pricer) and EDA in Python using Scikit-learn.

This seemed like a two language problem, so was wondering if anyone had developed a tool that acts like a Scikit-Learn backend with exportable javascript ML models (e.g. random forests, svm’s, xgboost, etc.)?

// one advantage of this setup is that the models are client-side and therefore can be hosted on github pages – i.e. they’re free