Panel vs Streamlit
No clear leader: Panel (56.2) and Streamlit (52.6) are within the 5-point margin; treat as a tie. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.
Capabilities
Feature-by-feature on the axes that matter for data apps internal tools. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Panel
A Python library for creating interactive dashboards and web applications where widgets, plots, and layouts are implemented as standard Python objects that integrate with your data and models.
Streamlit
An open-source Python framework that transforms data analysis scripts into shareable, interactive web applications. Supports both free public deployment through Streamlit Community Cloud and private enterprise deployments.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Streamlit
Free for public apps. Enterprise tier available via Snowflake.
- Community CloudFree
- Public app deployment
- Totally free
- GitHub account required
- EnterpriseContact sales
- Unlimited private apps
- Enterprise-grade security
- Snowflake infrastructure
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
Panel
- FastAPI
- Bokeh
- Tornado
- HoloViews
- Plotly
- Vega
- Django
- React
Streamlit
- GitHub
- Snowflake
Panel or Streamlit: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.