Streamlit-AgGrid is wonderful. However there are 2 eventualities the place its use will not be really useful.
Hey there! I assume you might be studying this weblog put up since you are conscious of Streamlit and AgGrid. If, by likelihood, you aren’t accustomed to both or need to dive into the technical particulars of AgGrid, I wrote an in depth weblog put up on the right way to create well-styled dataframes utilizing the Streamlit-AgGrid part created by Pablo Fonseca.
For my part, st_aggrid is without doubt one of the finest “additional” parts in Streamlit. The truth is, as of writing, it’s the prime really useful part within the dataframe part within the official Streamlit documentation. As a result of I’ve been extensively utilizing AgGrid, I needed to share with you 2 eventualities the place AgGrid will not be really useful. I’ll cowl intimately:
- What occurs if we’re working with Polars?
- What occurs if we’re coping with huge datasets in our Streamlit app?
Disclaimer 1: I’ve no affiliation or partnership with AgGrid. I simply discover quite a lot of worth within the open-source product. AgGrid does have a paid tiered product, however the weblog put up will solely use the free parts of AgGrid.
Disclaimer 2: All photographs and GIFs are authored on my own except specified in any other case.
