CoreQilin is a high-performance, real-time data processing framework that utilizes auto-scaling architecture and intelligent optimizer algorithms.
CoreQilin is aimed at developers who need a straightforward, dependable solution.
Highlights
- CoreQilin is a high-performance, real-time
- data processing framework that utilizes
- auto-scaling architecture and intelligent optimizer
- CoreQilin is a high-performance, real-time
- data processing framework that utilizes
- auto-scaling architecture and intelligent optimizer
- python
- python framework (Flask/Django/FastAPI or equivalent)
- Pytest for testing
- Clone the repository:
git clone https://github.com/yhonaach/CoreQilin.git - Install required dependencies:
pip install -r requirements.txt
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.
This project is licensed under the MIT License. See the LICENSE file for details.