Cinnamon is a modular application designed to offer robust functionalities for data anonymization, synthetization, and evaluation.
The platform has been developed as part of the KI-AIM project.
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Modular Framework: Cinnamon's design makes it simple to add new features and functionalities. This modular approach ensures the platform can be customized to fit specific requirements.
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Data Anonymization and Synthetization: By incorporating methods for anonymizing and synthetizing data, Cinnamon helps protect sensitive information while still allowing for data use.
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Comprehensive Evaluation Module: The evaluation module provides clear, concise results, converting complex data protection processes into understandable insights.
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Support for Various Data Formats: Cinnamon handles multiple data formats, including CSV and Excel, and we're working to include support for medical formats like FHIR, enabling versatility across industries.
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Guided Workflow: Cinnamon offers guidance through complex data protection functions, making it accessible to users regardless of their experience level.
A demonstration server is available at the following address: http://cinnamon-demo.uni-muenster.de. You can use the sample dataset and configurations provided in the /sample directory of this repository.
The following video provides an overview of the Cinnamon Platform:
Cinnamon with all its modules can be installed with Docker Compose. Clone the repository and run the following command in the root directory:
docker-compose up -dThe website is available at http://localhost:8080.
Detailed information about Cinnamon's features, configuration, and development is available in our documentation.
Cinnamon is open source published under the Apache 2.0 license.
Supported by BMBF grant No. 16KISA115K