MLOps Platforms

01. Algorithmia is machine learning operations (MLOps) software that manages all stages of the ML lifecycle within existing operational processes.
02. MLflow is an open source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry.
03. Azure Machine Learning - Accelerate time to value with industry-leading machine learning operations (MLOps), open-source interoperability, and integrated tools.
04. Google Cloud AI Platform - Fully managed, end-to-end platform for data science and machine learning
05. HPE Ezmeral MLOps - A solution that brings DevOps-like agility to the entire machine learning lifecycle.
06. H2O MLOps provides a collaborative environment for Data Scientists and IT teams to manage, deploy, govern, and monitor machine learning models.
07. Arrikto - Realize the MLOps potential of Kubeflow by enabling data scientists to build and deploy machine learning models faster, more efficiently, and securely.
08. Allegro platform for data scientists, data engineers, DevOps and managers to manage the entire machine and deep learning (ML/DL) product life cycle.
09. Cnvrg.io - An end-to-end machine learning platform to build and deploy AI models at scale
10. DataRobot - An enterprise AI platform that automates and accelerates every step of your path from data to value.
11. The Kubeflow project is to make deployments of machine learning (ML) workflows on Kubernetes simple, portable and scalable.
12. Databricks - A data-native and collaborative ML solution for the full ML lifecycle
13. Akira AI - MLOps Platform - Scale Machine Learning Applications in Production
14. Algomox MLOps Platform - The AutoML, ModelOps, and DataOps capabilities free up considerable bandwidth of data scientists, machine learning and DataOps engineers
15. Comet manages and optimizes the entire ML lifecycle, from experiment tracking to model production monitoring.
16. Amazon SageMaker helps you streamline the machine learning (ML) lifecycle by automating and standardizing MLOps practices across your organization.
17. Valohai is a MLOps platform that automates everything from data extraction to model deployment.
18. Domino's Enterprise MLOps Platform - Overcomes the infrastructure friction, productionization challenges, and a lack of collaboration
19. Iguazio MLOps Platform - Accelerate and scale development, deployment and management of your AI applications with end-to-end automation of machine and deep learning pipelines.
20. Datatron automates, optimizes, and accelerates ML models to ensure that they are running smoothly and efficiently in production