This repo contains templates and example code for creating Streamlit Components.
For complete information, please see the Streamlit Components documentation!
A Streamlit Component is made out of a Python API and a frontend (built using any web tech you prefer).
A Component can be used in any Streamlit app, can pass data between Python and frontend code, and and can optionally be distributed on PyPI for the rest of the world to use.
- Create a component's API in a single line of Python:
import streamlit.components.v1 as components
# Declare the component:
my_component = components.declare_component("my_component", path="frontend/build")
# Use it:
my_component(greeting="Hello", name="World")- Build the component's frontend out of HTML and JavaScript (or TypeScript, or ClojureScript, or whatever you fancy). React is supported, but not required:
class MyComponent extends StreamlitComponentBase {
public render(): ReactNode {
// Access arguments from Python via `this.props.args`:
const greeting = this.props.args["greeting"]
const name = this.props.args["name"]
return <div>{greeting}, {name}!</div>
}
}- Ensure you have Python 3.6+, Node.js, and npm installed.
- Clone this repo.
- Create a new Python virtual environment for the template:
$ cd template
$ python3 -m venv venv # create venv
$ . venv/bin/activate # activate venv
$ pip install streamlit # install streamlit
- Initialize and run the component template frontend:
$ cd template/my_component/frontend
$ npm install # Install npm dependencies
$ npm run start # Start the Webpack dev server
- From a separate terminal, run the template's Streamlit app:
$ cd template
$ . venv/bin/activate # activate the venv you created earlier
$ streamlit run my_component/__init__.py # run the example
- If all goes well, you should see something like this:
- Modify the frontend code at
my_component/frontend/src/MyComponent.tsx. - Modify the Python code at
my_component/__init__.py.
See the template-reactless directory for a template that does not use React.
See the examples directory for examples on working with pandas DataFrames, integrating with third-party libraries, and more.
These templates are provided by the community. If you run into any issues, please file your issues against their repositories.