Dataframe Display And Interaction With St Dataframe

via “dataframe component with interactive editing and filtering”

Python library for ML web demos — build interactive UIs in minutes, powers Hugging Face Spaces.

Unique: Implements client-side rendering of DataFrames using Svelte, enabling interactive operations (sort, filter, edit) without server round-trips. Maintains type information during serialization, preserving pandas dtypes across the Python-JavaScript boundary.

vs others: More integrated than pandas display() because it supports editing and filtering; more performant than Streamlit's st.dataframe for small-to-medium datasets because it uses client-side rendering for interactions.