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Streamlit-AgGrid is wonderful. However there are 2 situations the place its use will not be advisable.
Hi there there! I assume you’re studying this weblog put up since you are conscious of Streamlit and AgGrid. If, by probability, you aren’t conversant in both or wish to dive into the technical particulars of AgGrid, I wrote an in depth weblog put up on easy methods to create well-styled dataframes utilizing the Streamlit-AgGrid part created by Pablo Fonseca.
In my view, st_aggrid is likely one of the finest “further” elements in Streamlit. In actual fact, as of writing, it’s the high advisable part within the dataframe part within the official Streamlit documentation. As a result of I’ve been extensively utilizing AgGrid, I wished to share with you 2 situations the place AgGrid will not be advisable. I’ll cowl intimately:
What occurs if we’re working with Polars?What occurs if we’re coping with massive datasets in our Streamlit app?
Disclaimer 1: I’ve no affiliation or partnership with AgGrid. I simply discover a variety of worth within the open-source product. AgGrid does have a paid tiered product, however the weblog put up will solely use the free elements of AgGrid.
Disclaimer 2: All photographs and GIFs are authored on my own until specified in any other case.
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