At Quansight, we use the top four Python dashboarding tools, and clients often ask which one we recommend. So here’s our breakdown of each and why you might choose one over another.

Over the last few years, there has been rapid growth in the Python interactive dashboarding space, and with that, we now have four excellent options to choose from Dash, Voila, Panel, and Streamlit.

If we consider the popularity of each as measured by downloads per month, we have Streamlit in the lead with 972,000 a month, followed by Dash with 902,000, Panel with 468,000, and finally Voila with 62,000. Although these numbers are worth noting, this is a reductive way of considering each choice.

All four libraries are great for simple dashboards, but the differences become apparent as you start using them heavily. They started in one corner of the ring and expanded into other areas.

This is why our presentation will cover the roots of these four solutions. These roots are where they are strongest, even though they have each crossed over into new domains. A key consideration here is compatibility with Jupyter, one of the primary tools for exploratory data science.

Dharhas Pothina, CTO at Quansight, will explain how Quansight uses the top four Python dashboards with clients and which is best for what use cases.

Learn why you should use an open source dashboard, what dashboarding solution is best for the use case you are trying to solve, and what benefits and drawbacks you will encounter with your dashboarding selection.

Dharhas Pothina
CTO at Quansight