DraftTape is a high-performance, data-driven platform utilizing dynamic clustering adaptive processing for real-time workload optimization and engine efficiency.
The key benefits of using DraftTape include:
- DraftTape is a high-performance, data-driven
- platform utilizing dynamic clustering adaptive
- processing for real-time workload optimization
- DraftTape is a high-performance, data-driven
- platform utilizing dynamic clustering adaptive
- processing for real-time workload optimization
- javascript
- Modular architecture
- CI-ready (GitHub Actions)
- Clone the repository:
git clone https://github.com/innayakendya/DraftTape.git - Install required dependencies:
pip install -r requirements.txt
DraftTape is configured through environment variables (see .env.example). Key options:
- APP_ENV:
developmentorproduction. - PORT: Port the server listens on.
- LOG_LEVEL:
debug,info, orerror.
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.