https://github.com/drod75/supabase_python_pipeline
An automated python workflow to simulate Supabase data extraction and insertion to get up to date analytics.
https://github.com/drod75/supabase_python_pipeline
dashboard excel pandas python streamlit supabase
Last synced: 10 months ago
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An automated python workflow to simulate Supabase data extraction and insertion to get up to date analytics.
- Host: GitHub
- URL: https://github.com/drod75/supabase_python_pipeline
- Owner: drod75
- License: mit
- Created: 2025-09-02T00:18:23.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2025-09-02T00:33:40.000Z (10 months ago)
- Last Synced: 2025-09-02T02:34:40.012Z (10 months ago)
- Topics: dashboard, excel, pandas, python, streamlit, supabase
- Homepage:
- Size: 59.6 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Supabase Python Pipeline
A brief description of what this project does.
## Table of Contents
Table of Contents
## About The Project
[Provide more details about the project here.]
## Getting Started
[Instructions on how to set up the project locally.]
### Prerequisites
[List of things you need to install the software and how to install them.]
### Installation
[Step-by-step instructions on how to get a development environment running.]
## Usage
[Examples of how to use the project.]
## Technologies
* etc
## Contributing
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are **greatly appreciated**.
1. Fork the Project
2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`)
3. Commit your Changes (`git commit -m 'Add some AmazingFeature')
4. Push to the Branch (`git push origin feature/AmazingFeature`)
5. Open a Pull Request
## License
Distributed under the MIT License. See `LICENSE` for more information.
## Contact
David Rodriguez - [https://www.linkedin.com/in/david-rodriguez-nyc/](https://www.linkedin.com/in/david-rodriguez-nyc/)
Project Link: [https://github.com/drod75/Supabase_Python_Pipeline](https://github.com/drod75/Supabase_Python_Pipeline)