INTERACTIVE RESULTS WITH JUPYTER NOTEBOOK

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • Gooey

    Turn (almost) any Python command line program into a full GUI application with one line

    But nowadays the technology is evolving too fast, there are multiple platforms that simplify the work of making models live over the clouds such platforms are streamlit, gradio, and Gooey.

  • ipywidgets

    Interactive Widgets for the Jupyter Notebook

    Ipywidgets also known as jupyter-widgets or simple widgets, are interactive HTML widgets for Jupyter notebooks and the IPython kernel. Notebooks come alive when interactive widgets are used. Users gain control of their data and can visualize changes in the data.

  • Scout APM

    Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.

  • Django

    The Web framework for perfectionists with deadlines.

    In most cases, non-software developers or IT, diving into data science face challenges on how they can simply communicate their results, but this is also a common challenge to machine learning newbies. Making machine learning solutions testable may be challenging to a large group using python frameworks like Django and Flask. This is because they do require someone to have web development skills.

  • streamlit

    Streamlit — The fastest way to build data apps in Python

    But nowadays the technology is evolving too fast, there are multiple platforms that simplify the work of making models live over the clouds such platforms are streamlit, gradio, and Gooey.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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