https://docs.streamlit.io/develop/concepts/design/dataframes
In Streamlit, the st.dataframe component natively provides features such as CSV export, global search, and fullscreen view, all achievable with just a single line of code: st.dataframe(df). Can the same functionality be implemented in Violit?
Additionally, does the framework offer official built-in pagination functionality, rather than requiring manual implementation of the entire workflow: retrieve page number → recalculate dataset → return and render vl.dataframe?
PS: I am a heavy user of R-shiny::DT package.
https://docs.streamlit.io/develop/concepts/design/dataframes
In Streamlit, the st.dataframe component natively provides features such as CSV export, global search, and fullscreen view, all achievable with just a single line of code: st.dataframe(df). Can the same functionality be implemented in Violit?
Additionally, does the framework offer official built-in pagination functionality, rather than requiring manual implementation of the entire workflow: retrieve page number → recalculate dataset → return and render vl.dataframe?
PS: I am a heavy user of R-shiny::DT package.