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30 List of tools category in MLOps

May 3, 2023 Leave a Comment
  1. Kubeflow: A machine learning platform that provides tools to build and deploy machine learning workflows on Kubernetes.
  2. MLflow: An open-source machine learning platform that enables data scientists to manage end-to-end machine learning pipelines, including data preparation, model training, and deployment.
  3. H2O.ai: An open-source machine learning platform that includes tools for model training, hyperparameter tuning, and automatic machine learning.
  4. DataRobot: An enterprise machine learning platform that automates the end-to-end process of building and deploying machine learning models.
  5. Seldon: An open-source platform for deploying machine learning models on Kubernetes.
  6. Pachyderm: An open-source platform for building and deploying data pipelines and machine learning workflows on Kubernetes.
  7. Polyaxon: An open-source platform for building, training, and deploying machine learning models on Kubernetes.
  8. Allegro AI: A platform that enables data scientists to manage the entire machine learning lifecycle, from data preparation to model deployment.
  9. OpenAI: An AI research organization that provides tools and platforms for building and deploying machine learning models.
  10. SageMaker: A fully managed platform for building and deploying machine learning models on Amazon Web Services (AWS).
  11. TensorFlow: An open-source machine learning library that provides tools for building and training machine learning models.
  12. PyTorch: An open-source machine learning library that provides tools for building and training machine learning models.
  13. Keras: A high-level machine learning library that provides tools for building and training machine learning models.
  14. Scikit-learn: An open-source machine learning library that provides tools for building and training machine learning models.
  15. Apache Spark: An open-source big data processing framework that includes tools for building and deploying machine learning models.
  16. Databricks: A unified analytics platform that provides tools for building and deploying machine learning models on Apache Spark.
  17. Comet.ml: An experiment management platform that provides tools for tracking and organizing machine learning experiments.
  18. Weights & Biases: A platform that provides tools for tracking and visualizing machine learning experiments.
  19. GitLab: A version control platform that provides tools for building and deploying machine learning models.
  20. Jenkins: A continuous integration and continuous delivery (CI/CD) platform that provides tools for building and deploying machine learning models.
  21. CircleCI: A CI/CD platform that provides tools for building and deploying machine learning models.
  22. Travis CI: A CI/CD platform that provides tools for building and deploying machine learning models.
  23. Codefresh: A CI/CD platform that provides tools for building and deploying machine learning models.
  24. Docker: A platform for building and deploying containerized applications, including machine learning models.
  25. Kubernetes: An open-source platform for managing containerized applications, including machine learning models.
  26. AWS Elastic Kubernetes Service (EKS): A managed service that provides tools for deploying and managing Kubernetes clusters on AWS.
  27. Google Kubernetes Engine (GKE): A managed service that provides tools for deploying and managing Kubernetes clusters on Google Cloud Platform.
  28. Azure Kubernetes Service (AKS): A managed service that provides tools for deploying and managing Kubernetes clusters on Microsoft Azure.
  29. Istio: An open-source service mesh that provides tools for managing traffic and security for microservices, including machine learning models.
  30. Envoy: An open-source proxy that provides tools for managing traffic and security for microservices, including machine learning models.
Rajesh Kumar
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