# Streamlit review, pricing and alternatives

Source: https://listme.name/software/streamlit
Website: https://streamlit.io/

Open-source Python framework for interactive data apps and dashboards

Streamlit is an open-source Python framework for building and sharing interactive data apps. Its code is licensed under Apache-2.0 on GitHub. Developers write apps in Python rather than building front ends by hand, and the framework runs as a web app that users open in a browser.

Streamlit is a Python framework for interactive data apps. Developers write a script, and the framework turns widgets, charts and tables into a web app that users open in a browser. The project is published on GitHub under the Apache-2.0 license, and its README describes it as a faster way to build and share data apps.

It suits data scientists and analysts who build internal tools or dashboards in Python and do not want to write front-end code. Streamlit is a framework rather than a point-and-click dashboard builder, so business users cannot build their own charts in it. Compared with Dash in this list, Streamlit trades some layout control for a shorter path from script to app.

- Free and open source | Web, Self-hosted | open source (Apache-2.0)
- Price: Free and open source under Apache-2.0
- Checked: 2026-10-10

## Strengths

- Python only, no front-end code needed
- Apache-2.0 licensed on GitHub

## Limits

- A framework, not a point-and-click builder
- Layout control is more limited than Dash

## Rankings

- #7 of 12 in [best Dashboard and data visualization tools](https://listme.name/best/dashboard-and-data-visualization-tools), score 84.0: An Apache-2.0 Python framework that turns scripts into shareable data apps and dashboards without front-end code. It is a framework rather than a point-and-click tool, so business users cannot build their own charts in it.

## Alternatives

- [Power BI](https://listme.name/software/power-bi), score 92.0
- [Tableau](https://listme.name/software/tableau), score 90.5
- [Metabase](https://listme.name/software/metabase), score 89.5
- [Data Studio](https://listme.name/software/data-studio), score 87.5
- [Apache Superset](https://listme.name/software/apache-superset), score 85.0
- [KPI Master](https://listme.name/software/kpi-master), score 81.0
- [Grafana](https://listme.name/software/grafana), score 83.5
- [Redash](https://listme.name/software/redash), score 82.0