ZenML is an open-source MLOps framework designed to streamline the development, deployment, and management of machine learning pipelines. It provides a structured approach to managing ML workflows, ensuring reproducibility, scalability, and collaboration across teams.

Features of ZenML:

Pipeline-based workflow management for ML development and production.
Integration with popular ML tools like TensorFlow, PyTorch, and Scikit-learn.
Versioning and tracking of experiments, data, and models.
Scalable and flexible architecture for easy deployment in cloud and on-premises environments.

To check the version ZenML run $ zenml version on your terminal.

Disclaimer: ZenML is an open-source project released under the Apache 2.0 License. It is developed and maintained by the ZenML community and is not affiliated with, endorsed by, or sponsored by any specific company. ZenML is provided "as is," without any warranty.

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