https://github.com/gsaini/streamlit-ui-getting-started

Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver dynamic data apps with only a few lines of code. Build and deploy powerful data apps in minutes. Let's get started!
https://github.com/gsaini/streamlit-ui-getting-started

codecov github-actions numpy pandas python streamlit unittest

Last synced: 9 days ago
JSON representation

Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver dynamic data apps with only a few lines of code. Build and deploy powerful data apps in minutes. Let's get started!

• Host: GitHub
• URL: https://github.com/gsaini/streamlit-ui-getting-started
• Owner: gsaini
• Created: 2025-04-07T20:14:01.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2025-04-07T22:27:48.000Z (about 1 year ago)
• Last Synced: 2026-06-14T23:34:33.790Z (9 days ago)
• Topics: codecov, github-actions, numpy, pandas, python, streamlit, unittest
• Language: Python
• Homepage: https://app-ui-getting-started-pxyprypodfnhyqrndbgpms.streamlit.app/
• Size: 18.6 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# streamlit-ui-getting-started

[![codecov](https://codecov.io/gh/gsaini/streamlit-ui-getting-started/graph/badge.svg?token=3AF9C435OO)](https://codecov.io/gh/gsaini/streamlit-ui-getting-started)

![Python](https://img.shields.io/badge/python-3670A0?style=for-the-badge&logo=python&logoColor=ffdd54)

![Streamlit](https://img.shields.io/badge/Streamlit-%23FE4B4B.svg?style=for-the-badge&logo=streamlit&logoColor=white)

![NumPy](https://img.shields.io/badge/numpy-%23013243.svg?style=for-the-badge&logo=numpy&logoColor=white)

![Pandas](https://img.shields.io/badge/pandas-%23150458.svg?style=for-the-badge&logo=pandas&logoColor=white)

![GitHub Actions](https://img.shields.io/badge/github%20actions-%232671E5.svg?style=for-the-badge&logo=githubactions&logoColor=white)

![CodeCov](https://img.shields.io/badge/codecov-%23ff0077.svg?style=for-the-badge&logo=codecov&logoColor=white)

Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver dynamic data apps with only a few lines of code. Build and deploy powerful data apps in minutes. Let's get started!

## To run Streamlit from the command line:

```

streamlit run uber_pickups.py

```

## Step 1: Run Coverage with the Configuration

Run the coverage command as before, and it will now ignore the test files:

```

coverage run --source=uber_pickups -m unittest discover -s /workspaces/streamlit-ui-getting-started -p "test_*.py"

```

## Step 2: Generate the Coverage Report

Generate the coverage report to verify that the test files are excluded:

```

coverage report -m

```

## Step 3: (Optional) Generate an HTML Report

If you want a detailed HTML report, run:

```

coverage html

```

## Try out a limited version of Streamlit right in your browser.

Just edit the code below and the app on the right updates automatically. 

https://streamlit.io/playground