To help you get started, we've collected the most common ways that streamlit is being used within popular public projects.

MarcSkovMadsen / awesome-streamlit / package / awesome_streamlit / testing / components.py View on Github

def test_run_section(test_items: List[TesTItem]):
    """This section tests each test_item and reports the Test Results and Exception Log

    Arguments:
        test_item {TesTItem} -- The TesTItem to be tested
    """
    # Setup Sub Section
    st.subheader("""Run tests""")

    test_runner_progress_bar = st.progress(0)
    test_runner_current_file_url = st.empty()

    st.subheader("Results")
    result_table_section = st.empty()

    st.subheader("Exceptions log")
    result_exception_section = st.empty()
    log = ""

    st.subheader("Screen output")

    test_items_dataframe = services.test_items_dataframe.create_from_test_items(
        test_items
    )
    result_table_section.table(test_items_dataframe)

    test_items_count = len(test_items)
    for index, test_item in enumerate(test_items):
        _progress_section(

View more ways to use streamlit

Welcome to Streamlit 👋

A faster way to build and share data apps.

What is Streamlit?

Streamlit lets you transform Python scripts into interactive web apps in minutes, instead of weeks. Build dashboards, generate reports, or create chat apps. Once you’ve created an app, you can use our Community Cloud platform to deploy, manage, and share your app.

Why choose Streamlit?

• Simple and Pythonic: Write beautiful, easy-to-read code.
• Fast, interactive prototyping: Let others interact with your data and provide feedback quickly.
• Live editing: See your app update instantly as you edit your script.
• Open-source and free: Join a vibrant community and contribute to Streamlit's future.

Installation

Open a terminal and run:

$ pip install streamlit
$ streamlit hello

If this opens our sweet Streamlit Hello app in your browser, you're all set! If not, head over to our docs for specific installs.

The app features a bunch of examples of what you can do with Streamlit. Jump to the quickstart section to understand how that all works.

Quickstart

A little example

Create a new file streamlit_app.py with the following code:

import streamlit as st
x = st.slider("Select a value")
st.write(x, "squared is", x * x)

Now run it to open the app!

$ streamlit run streamlit_app.py

Give me more!

Streamlit comes in with a ton of additional powerful elements to spice up your data apps and delight your viewers. Some examples:

Input widgets	Dataframes	Charts	Layout	Multi-page apps	Fun

Our vibrant creators community also extends Streamlit capabilities using  🧩 Streamlit Components.

Get inspired

There's so much you can build with Streamlit:

• 🤖  LLMs & chatbot apps
• 🧬  Science & technology apps
• 💬  NLP & language apps
• 🏦  Finance & business apps
• 🗺  Geography & society apps
• and more!

Check out our gallery! 🎈

Community Cloud

Deploy, manage and share your apps for free using our Community Cloud! Sign-up here.

Resources

• Explore our docs to learn how Streamlit works.
• Ask questions and get help in our community forum.
• Read our blog for tips from developers and creators.
• Extend Streamlit's capabilities by installing or creating your own Streamlit Components.
• Help others find and play with your app by using the Streamlit GitHub badge in your repository:

[![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](URL_TO_YOUR_APP)

License

Streamlit is completely free and open-source and licensed under the Apache 2.0 license.