BenchmarkSherida harnesses Distributed Architecture to optimize High-Performance data processing through Auto-scaling capabilities within a scalable Framework Engine.
BenchmarkSherida is built to be simple and practical, focusing on doing one thing well.
Why BenchmarkSherida?
- BenchmarkSherida harnesses Distributed Architecture to
- optimize High-Performance data processing through
- Auto-scaling capabilities within a scalable
- BenchmarkSherida harnesses Distributed Architecture to
- optimize High-Performance data processing through
- Auto-scaling capabilities within a scalable
- typescript
- typescript framework (Flask/Django/FastAPI or equivalent)
- Pytest for testing
- Clone the repository:
git clone https://github.com/yhonaach/BenchmarkSherida.git cd BenchmarkSherida- Install in editable mode:
pip install -e .
Most behavior is controlled via command-line flags:
--verbose: enable detailed logging--config <path>: point to a custom config file--dry-run: preview changes without applying them
Contributions are welcome and appreciated. Please submit pull requests and issues through the GitHub interface.
Released under the MIT License — see the LICENSE file.