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
- PeelZiz utilizes distributed computing to
- process real-time data feeds, integrating
- them into a scalable system
- javascript
- javascript framework (Flask/Django/FastAPI or equivalent)
- Pytest for testing
- Clone the repository:
git clone https://github.com/yhonaach/PeelZiz.git - Install dependencies:
pip install -r requirements.txt - Run the test suite:
pytest
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
Contributions are welcome. Open an issue for bugs or feature requests, or submit a pull request with your changes.
Released under the MIT License — see the LICENSE file.