- 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