In the past five months , I have been exploring and critically examining Python Leading framework in the dashboard ecosystem . The current industry leader in this field is Streamlit、Plotly Dash、Voilà and Panel. therefore , I chose to focus my research entirely on these four dashboard frameworks , Because I want to pay close attention to industry leaders , Rather than the breadth of available dashboard frameworks .
Since there are no fixed criteria for reviewing and comparing dashboard frames , So I have to create my own comparison criteria , This makes sense if you choose one particular dashboard frame over another . For those from my previous post , Please note that I slightly modified my original 4 Comparison criteria used in some series —— Each frame is viewed separately . Included in this initial 4 Some of the titles used in this part of the series are intended to provide context for each frame background , And provide the information you might need to get started with each framework . These titles are no longer relevant in the context of direct comparison , therefore , They have been excluded from this comparison article .
new 、 More streamlined standards can be found in the directory above , Each of the four frameworks mentioned will be examined under these criteria .
In order to make my comparison more insightful and realistic , I exposed myself to every framework in a few months , And created a shared sample dashboard application using each of these four frameworks . This gives me a sense of each technology , And experienced their advantages and disadvantages .
The purpose of this article is not to review the original 4 Everything discussed in this series , Instead, a brief comparison of the contents of these articles . To view information about Streamlit、Plotly Dash、Voilà and Panel Original article for , Please click on the link provided .
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