Doc of MLOps

1. Feast (Feature Store) is an open source feature store for machine learning.
2. butterfree A tool for building feature stores. Transform your raw data into beautiful features.
3. Featureform is a virtual feature store. It enables data scientists to define, manage, and serve their ML model's features.
4. Feathr is the feature store that is used in production in LinkedIn for many years and was open sourced in April 2022.
5. Hopsworks is a data platform for ML with a Python-centric Feature Store and MLOps capabilities.

1. Seldon-Core an open source platform to deploy your machine learning models on Kubernetes at massive scale.
2. Wandb is the machine learning platform for developers to build better models faster.
3. ClearML is a ML/DL development and production suite, it contains FOUR main modules.
4. Welcome to Polyaxon, a platform for building, training, and monitoring large scale deep learning applications.
5. BentoML makes it easy to create Machine Learning services that are ready to deploy and scale.
6. MLRun is an open MLOps platform for quickly building and managing continuous ML applications across their lifecycle.
7. ZenML is here to help transition your production ML pipelines to production.
8. Hopsworks is a data platform for ML with a Python-centric Feature Store and MLOps capabilities.
9. Wallaroo Community is aimed at those looking to speed up and simplify the deployment and management of ML models and pipelines.

1. MLops-blog
2. Feature Stores for ML
3. A guide to open source model serving
4. BentoML vs KServe vs Seldon