Capability
Dataframe Component With Interactive Editing And Filtering
7 artifacts provide this capability.
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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.