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RoughBeat enables real-time, beat-based data processing with auto-scaling capabilities, forming a robust engine for scalable platforms.

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RoughBeat

RoughBeat enables real-time, beat-based data processing with auto-scaling capabilities, forming a robust engine for scalable platforms.

The key benefits of using RoughBeat include:

  • RoughBeat enables real-time, beat-based data
  • processing with auto-scaling capabilities, forming
  • a robust engine for scalable

Key Features

  • RoughBeat enables real-time, beat-based data
  • processing with auto-scaling capabilities, forming
  • a robust engine for scalable

Technology Stack

  • javascript
  • Modular architecture
  • CI-ready (GitHub Actions)

Installation

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

Configuration

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

Contributing

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

License

Released under the MIT License — see the LICENSE file.

About

RoughBeat enables real-time, beat-based data processing with auto-scaling capabilities, forming a robust engine for scalable platforms.

Resources

Stars

114 stars

Watchers

0 watching

Forks

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