C3 is an open-source framework designed to simplify the development and deployment of data science and machine learning workflows through reusable components and low-code development techniques. The framework focuses on enabling rapid prototyping while maintaining a path to production through automated CI/CD integration. CLAIMED provides a component-based architecture where data processing steps, models, and workflows can be packaged into reusable operators. These operators can be orchestrated into pipelines that run on modern infrastructure platforms such as Kubernetes and Kubeflow. The system emphasizes reproducibility and scalability, allowing researchers and engineers to reuse existing components and integrate them into larger scientific or data engineering workflows. It also aims to support trusted and explainable AI systems by integrating tools for fairness analysis, explainability, and adversarial robustness.
Features
- Low-code framework for building machine learning and data science workflows
- Reusable component architecture for creating modular AI pipeline operators
- Automatic containerization and dependency management for pipeline components
- Integration with Kubernetes and Kubeflow for scalable execution
- CI/CD compatibility for transitioning prototypes into production systems
- Support for explainable AI, fairness analysis, and trusted machine learning