ITables
Display Pandas and Polars DataFrames as interactive, sortable, and searchable DataTables in Jupyter notebooks and Python applications.
What is ITables?
ITables is a Python library that converts Pandas and Polars DataFrames into interactive DataTables within Jupyter notebooks and Python applications. It solves the problem of static, hard-to-explore table displays by enabling sorting, pagination, scrolling, and filtering directly in the output.
Data scientists, analysts, and developers working in Jupyter environments or building data-centric Python applications with Dash, Streamlit, or Shiny who need interactive data exploration.
Developers choose ITables for its simplicity, zero-dependency design, and seamless integration across multiple platforms, allowing interactive data exploration without disrupting existing data workflows.
Overview
Python DataFrames as Interactive DataTables
Use Cases
Best For
- Creating interactive data exploration experiences in Jupyter notebooks
- Building data dashboards with Dash or Streamlit that require sortable tables
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