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MLOps oriented framework for trustworthy Edge-AI

Project description

Overity.ai

Overity.ai - MLOps oriented framework for trustworthy Edge-AI

PyPI - Version PyPI - Python Version

🚧 Overity.ai is currently under heavy development. Initial release is planned for end of 2025. Leave a star to stay informed! 🚧

Overity.ai is a open-source MLOps oriented framework for optimization, qualification, and deployment of Edge-AI models in critical systems, focusing on traceability and trustworthy AI.

It helps you organize training, optimization and validation methods, track and version your datasets and models with complete traceability graphs, as well as leveraging Hardware-In-The-Loop (HIL) testing to validate embedded use-cases.

Whether it's for local development or complex deployments in complete MLOps environments, Overity.ai provides all the necessary tools to create the next ground-breaking Edge-AI Revoluuuuuuuution! :smile:

Getting started

To get started, please refer to the Getting started guide.

Contributing

If you want to contribute, please refer to the contributing guidelines.

License

This project is licensed under the terms of the terms of the Apache 2.0 license. Please refer to the LICENSE file for more information.

Main authors

Contact Us

Please send an email at community@elsys-design.com

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