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CrestLyra is a scalable, distributed framework for real-time data processing, enabling auto-scaling and concurrent execution.

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CrestLyra

CrestLyra is a scalable, distributed framework for real-time data processing, enabling auto-scaling and concurrent execution.

CrestLyra is aimed at developers who need a straightforward, dependable solution.

Highlights

  • CrestLyra is a scalable, distributed
  • framework for real-time data processing,
  • enabling auto-scaling and concurrent execution

Key Features

  • CrestLyra is a scalable, distributed
  • framework for real-time data processing,
  • enabling auto-scaling and concurrent execution

Technology Stack

  • typescript
  • Standard library, minimal dependencies
  • unittest/pytest

Installation

  1. Clone the repository: git clone https://github.com/yhonaach/CrestLyra.git
  2. Install dependencies: pip install -r requirements.txt
  3. Run the test suite: pytest

Configuration

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

Contributing

Contributions are welcome. Open an issue for bugs or feature requests, or submit a pull request with your changes.

License

This project is licensed under the MIT License. See the LICENSE file for details.

About

CrestLyra is a scalable, distributed framework for real-time data processing, enabling auto-scaling and concurrent execution.

Resources

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114 stars

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0 watching

Forks

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