PeelZiz

PeelZiz utilizes distributed computing to process real-time data feeds, integrating them into a scalable system framework.

PeelZiz is aimed at developers who need a straightforward, dependable solution.

Highlights

• PeelZiz utilizes distributed computing to
• process real-time data feeds, integrating
• them into a scalable system

Key Features

• PeelZiz utilizes distributed computing to
• process real-time data feeds, integrating
• them into a scalable system

Technology Stack

• javascript
• javascript framework (Flask/Django/FastAPI or equivalent)
• Pytest for testing

Installation

1. Clone the repository: git clone https://github.com/yhonaach/PeelZiz.git
2. Install dependencies: pip install -r requirements.txt
3. Run the test suite: pytest

Configuration

Runtime options can be set in the config file or overridden per call. The most commonly changed values are:

• timeout: how long operations may run before failing
• retries: how many times a failed operation is re-attempted
• cache: where temporary results are stored

Contributing

Contributions are welcome. Open an issue for bugs or feature requests, or submit a pull request with your changes.

License

Released under the MIT License — see the LICENSE file.