Overview
A Python framework for rapidly building and sharing interactive data and AI applications. The repository is maintained under streamlit on GitHub. Its primary language is Python. See the [project README](https://github.com/streamlit/streamlit#readme) for the supported workflows.
Key features
- A Python framework for rapidly building and sharing interactive data and AI applications.
Requirements, installation and quick start
Install Streamlit in a Python environment, then run the bundled hello application to verify setup before creating your own app.
[Read the upstream installation and quickstart instructions](https://github.com/streamlit/streamlit#readme).
[Read the upstream installation and quickstart instructions](https://github.com/streamlit/streamlit#readme).
Usage
Start with a small example matching your workflow, review its results, and configure the available settings for your own data and environment.
[Usage examples and configuration reference](https://github.com/streamlit/streamlit#readme).
[Usage examples and configuration reference](https://github.com/streamlit/streamlit#readme).
Model compatibility and use cases
Model compatibility is not stated in the repository metadata.
License and risk notes
GitHub reports Apache-2.0 for this repository. Review the upstream license file; model weights, datasets and dependencies may have separate terms.
Source review 2026-09-05: GitHub search metadata and repository README. No runtime benchmark performed. License metadata: Apache-2.0.
Release and maintenance
[View upstream releases](https://github.com/streamlit/streamlit/releases).