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Last updated : Apr 13, 2021
Not on the current edition
This blip is not on the current edition of the Radar. If it was on one of the last few editions it is likely that it is still relevant. If the blip is older it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar Understand more
Apr 2021
Trial ? Worth pursuing. It is important to understand how to build up this capability. Enterprises should try this technology on a project that can handle the risk.

Streamlit is an open-source application framework in Python used by data scientists for building interactive data applications. Tuning machine-learning models takes time; instead of going back and forth on the main application (the one that uses these models), we've found value in quickly building standalone prototypes in Streamlit and gathering feedback during experimentation cycles. Streamlit stands out from competitors such as Dash because of its focus on rapid prototyping and support for a wide range of visualization libraries, including Plotly and Bokeh. We're using it in a few projects and like how we can put together interactive visualizations with very little effort.

Oct 2020
Assess ? Worth exploring with the goal of understanding how it will affect your enterprise.

Streamlit is an open-source application framework in Python used by data scientists for building good-looking data visualization applications. Streamlit stands out from competitors such as Dash with its focus on rapid prototyping and support for a wide range of visualization libraries, including Plotly and Bokeh. For data scientists who need quick showcases during the experimentation cycle, Streamlit is a solid choice. We're using it in a few projects and like how we can put together interactive visualizations with very little effort.

Published : Oct 28, 2020
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