Best Dash AG Grid Alternatives ranked by AI · updated Aug 2026

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Dash AG Grid is a Dash component based on the AG Grid JavaScript library for interactive data tables in Python web applications. It adds grouping, aggregation, column virtualization, pivoting, and richer selection controls while retaining Dash callbacks.

Developer: Plotly Price: Free; enterprise features available 🎯 dash.plotly.com/dash-ag-grid

Top 6 Dash AG Grid alternatives

AG Grid is a feature-rich datagrid for Angular, React, and Vue. It provides advanced functionality like filtering, sorting, grouping, and more.

Starting from $750 per developer for the enterprise version

4 Streamlit logo

Streamlit

Snowflake

Streamlit is a Python framework for building interactive data applications, including editable and configurable dataframes. Its table components support sorting, selection, column...

Pros

  • Much simpler Python workflow than Dash DataTable
  • Built-in dataframe display and editing for rapid data apps
  • Works naturally with pandas and common Python data tools

Cons

  • Less control over table layout and callbacks than Dash
  • Not a dedicated grid with AG Grid-level grouping or pivoting
  • Rerun-based execution can complicate complex table interactions

Free, open source; paid hosting available

5

Dash DataTable is a Python component for adding interactive, editable tables to Plotly Dash applications. It supports sorting, filtering, pagination, conditional styling,...

Pros

  • Integrates directly with Dash callbacks and layouts
  • Supports sorting, filtering, pagination, editing, and conditional formatting
  • Uses a Python API without requiring custom JavaScript

Cons

  • Deprecated compared with Dash AG Grid
  • Less capable for advanced grouping, aggregation, and pivoting
  • Can become slower with large datasets and complex styling
6 Panel logo

Panel

HoloViz

Panel is an open-source Python framework for building dashboards and applications with interactive tables and dataframes. Its Tabulator-based widgets support editing, filtering,...

Pros

  • Provides Python-first tables with pandas and reactive programming support
  • Offers Tabulator features through configurable widgets
  • Integrates with Bokeh, HoloViews, Matplotlib, and Plotly

Cons

  • Smaller user community than Dash or Streamlit
  • Requires learning Panel's reactive programming model
  • Table customization is less familiar than direct JavaScript grid APIs

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