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1 change: 1 addition & 0 deletions README.md
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Expand Up @@ -222,6 +222,7 @@ Welcome to Awesome MLOps! This repository aims to gather the best resources rela
- [feast](https://github.com/feast-dev/feast) - an open-source feature store with a centralized and scalable platform for managing, serving, and discovering features in MLOps workflows
- [Paperspace](https://www.paperspace.com/artificial-intelligence) - a platform for building and scaling AI applications
- [Charmed Kubeflow](https://charmed-kubeflow.io/) - The fully supported MLOps platform for any cloud
- [DataKitchen Open Source Data Observability](https://docs.datakitchen.io/articles/?readerUiPreview=1#!open-source-data-observability/data-observability-overview) - End to end Data Journey Observability plus data profiling, anomaly detection, and auto created data quality validation tests. Model monitoring. With UI. Apache 2.0 license



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