https://github.com/nebeyoumusie/streamlit-dashboard

recreate Excel dashboards within Python web apps. No more struggling with complex VBA macros – empower yourself to generate interactive and visually appealing dashboards for financial data analysis.
https://github.com/nebeyoumusie/streamlit-dashboard

duckdb plotly python sql streamlit streamlit-dashboard

Last synced: about 2 months ago
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recreate Excel dashboards within Python web apps. No more struggling with complex VBA macros – empower yourself to generate interactive and visually appealing dashboards for financial data analysis.

• Host: GitHub
• URL: https://github.com/nebeyoumusie/streamlit-dashboard
• Owner: NebeyouMusie
• License: mit
• Created: 2024-08-07T07:16:11.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-08-07T09:08:50.000Z (almost 2 years ago)
• Last Synced: 2025-11-08T19:03:48.278Z (7 months ago)
• Topics: duckdb, plotly, python, sql, streamlit, streamlit-dashboard
• Language: Python
• Homepage: https://s-dashboard.streamlit.app/
• Size: 219 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Streamlit Dashboard

- recreate Excel dashboards within Python web apps. No more struggling with complex VBA macros – empower yourself to generate interactive and visually appealing dashboards for financial data analysis.

![Streamlit Dashboard App Image](./images/image1.png)

## DEMO

 - You can try the project live [here](https://s-dashboard.streamlit.app/)

## Libraries Used

 - plotly

 - duckdb

 - openpyxl

 - streamlit

## Installation

 1. Prerequisites

    - Git

    - Command line familiarity

 2. Clone the Repository: `git clone https://github.com/NebeyouMusie/Streamlit-Dashboard.git`

 3. Create and Activate Virtual Environment (Recommended)

    - `python -m venv venv`

    - `source venv/bin/activate` for Mac and `venv/bin/activate` for Windows

 4. Navigate to the projects directory `cd ./Streamlit-Dashboard` using your terminal

 5. Install Libraries: `pip install -r requirements.txt`

 6. run `streamlit run app/app.py`

 7. open the link displayed in the terminal on your preferred browser

## Usage

1. Download the csv file `Financial Data Clean.xlsx` from the `data` directory.

2. Use the streamlit sidebar to upload the csv file to the sreamlit app

3. You will automatically see the data preview and visualizations

## Collaboration

- Collaborations are welcomed ❤️

## Acknowledgments

 - I would like to thank [Fanilo Andrianasolo](http://www.youtube.com/@andfanilo)

   

## Contact

 - LinkedIn: [Nebeyou Musie](https://www.linkedin.com/in/nebeyou-musie)

 - Gmail: nebeyoumusie@gmail.com

 - Telegram: [Nebeyou Musie](https://t.me/NebeyouMusie)