High-Performance data processing engine for real-time analytics and insights, utilizing multi-core processor architecture and auto-scaling platforms.
With ModeFafnir, you get a lightweight tool that stays out of your way.
What you get
- High-Performance data processing engine for
- real-time analytics and insights, utilizing
- multi-core processor architecture and auto-scaling
- High-Performance data processing engine for
- real-time analytics and insights, utilizing
- multi-core processor architecture and auto-scaling
- typescript
- typescript framework (Flask/Django/FastAPI or equivalent)
- Pytest for testing
- Clone the repository:
git clone https://github.com/yhonaach/ModeFafnir.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
Pull requests and issue reports are both welcome. Please read the existing code style before submitting.
Released under the MIT License — see the LICENSE file.