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https://github.com/brianlesko/live-data-feed

View real time data on a web server dashboard by connecting this low code app to a data feed
https://github.com/brianlesko/live-data-feed

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View real time data on a web server dashboard by connecting this low code app to a data feed

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README

        

# Live Data Feed
This code implements a live data viewer written with Streamlit, a low code Web browser UI. This project is written in [Pure Python](https://github.com/BrianLesko/live-data-feed/blob/main/app.py) in under 50 lines of code. Created by Brian Lesko for professional engineering purposes.

 

 

## Dependencies

This code uses the following libraries:
- `streamlit`: for building the user interface.
- `numpy`: for creating arrays.
- `matplotlib`: for saving image data

 

## Usage

Run the following commands:
```
pip install --upgrade streamlit matplotlib
streamlit run [https://raw.githubusercontent.com/BrianLesko/rrt-star/main/app.py](https://raw.githubusercontent.com/BrianLesko/live-data-feed/main/app.py)
```

This will start the local Streamlit server, and you can access the chatbot by opening a web browser and navigating to `http://localhost:8501`.

 

## Repository Structure
```
repository/
├── app.py # the code and UI integrated together live here
├── customize_gui # class for adding gui elements
├── requirements.txt # the python packages needed to run locally
├── .gitignore # includes the local virtual environment named my_env
├── plot.py # methods used for setting plot axes
├── .streamlit/
│ └── config.toml # theme info for the UI
└── docs/
└── preview.png # preview photo for Github
```

 

## Topics
```
Python | Low Code | UI | Web application | HTTP | Web server | live data | data science | robotics automation | system management | data collection | monitoring | real time | software dev
Mechanical engineer | Robotics engineer | Engineering
```
 


 

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