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30 List of tools category in MLOps

  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.

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I'm Rajesh Kumar, a DevOps, SRE, DevSecOps, Cloud, and Platform Engineering expert passionate about sharing practical knowledge, real-world experiences, and industry best practices. I have worked at Cotocus and regularly write about technology, travel, investing, health, product reviews, and digital marketing through my various platforms. I publish technical articles at DevOps School, travel stories at Holiday Landmark, stock market insights at Stocks Mantra, health and fitness guidance at My Medic Plus, product reviews at TrueReviewNow, and SEO and digital marketing strategies at Wizbrand.

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