Don't confuse creating a data product and deployment. Streamlit makes creating a GUI-type data product easy for Python, much like shiny makes it easy for R.
Deployment is the next step: running it on a server, having security and user authentication, scaling it as required, updating the application when necessary, etc.
That's what the ownR platform does for shiny and dash already and will soon offer for Streamlit too. If you need to actually deploy your data products, especially in an enterprise environment, drop me an invite or a DM for a demo or a trial account!
❇️ @AI_Python_EN
Post #2041
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AI, Python, Cognitive Neuroscience Streamlit, a Python framework that dedicates to deploying Machine Learning and Data Science models. If you are a data scientist who's struggling to showcase your fantastic works, I would encourage you to check it out. The author had a nice article/ tutorial…