Metabase is an open-source business intelligence tool that lets you create interactive dashboards and share insights with your team.
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Best Streamlit Alternatives ranked by AI · updated Aug 2026
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Streamlit is a Python framework for building interactive data applications, including editable and configurable dataframes. Its table components support sorting, selection, column configuration, and editing with minimal application code.
Top 6 Streamlit alternatives
Bokeh is a Python library for creating interactive plots and data visualization on the web.
Shiny is an R package that makes it easy to build interactive web applications straight from R.
Evidence is an open-source framework for building data applications and BI reports with SQL, Markdown, and reusable components. It is aimed at...
Pros
- SQL-first workflow works well with warehouse-based analytics
- Version control and code review fit software-engineering practices
- Generates polished reports from reusable components
Cons
- Requires more technical skill than Metabase or Looker Studio
- Less suitable for ad hoc exploration by nontechnical users
- Smaller ecosystem than established BI platforms
Free and open source; paid cloud plans
Datapane is a Python framework for turning data analyses into shareable reports and interactive applications. It is aimed at data scientists and...
Pros
- Combines static reports and interactive Python applications in one workflow
- Supports reusable report blocks for charts, tables, files, and media
- Requires less frontend code than general-purpose web frameworks
Cons
- Smaller ecosystem and community than Streamlit or Dash
- Less flexible for highly customized application layouts
- Fewer mature deployment integrations than enterprise-focused alternatives
Free and open source; hosted plans N/A
6
Dash DataTable
Plotly
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
Free, open source
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