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Top 9 Development Products in Machine Learning Tools

The best Development Products within the Machine Learning Tools category - based on our collection of reviews & verified products.

Saturn Cloud Hasty.ai IBM SPSS Iguazio Managed MLflow Seldon KEEL neptune.ai Kubeflow

Product categories

AI Business & Commerce Data Science And Machine Learning Data Science Notebooks Data Science Tools Development Javascript UI Libraries Machine Learning Machine Learning Tools Personalization Technical Computing Web Frameworks

Summary

The top products on this list are Saturn Cloud, Hasty.ai, and IBM SPSS. All products here are categorized as: Tools and environments used for software and application development. Machine Learning Tools. One of the criteria for ordering this list is the number of mentions that products have on reliable external sources. You can suggest additional sources through the form here.
  1. Saturn Cloud Landing Page
    Saturn Cloud Landing Page
    1

    Saturn Cloud

    ML in the cloud. Loved by Data Scientists, Control for IT. Advance your business's ML capabilities through the entire experiment tracking lifecycle. Available on multiple clouds: AWS, Azure, GCP, and OCI.

    #Data Science And Machine Learning #Data Science Tools #Machine Learning Tools 6 social mentions

  2. Hasty.ai Landing Page
    Hasty.ai Landing Page
    2

    Hasty.ai

    Humans helping machines see the world.
    Pricing:
    • Freemium
    • Free Trial
    • €300.0 / Monthly

    #AI #Machine Learning Tools #Data Science And Machine Learning 2 social mentions

  3. IBM SPSS Landing Page
    IBM SPSS Landing Page
    3

    IBM SPSS

    NOTE: IBM SPSS has been discontinued.
    IBM SPSS is a predictive analytics suite for enterprises.

    #Business & Commerce #Technical Computing #Development

  4. Iguazio Landing Page
    Iguazio Landing Page
    4

    Iguazio

    Iguazio is a platform that allows users to bring their data science to life, and it automates the MLOps with end-to-end machine learning pipelines while transforming AI projects into the real world.

    #Development #Education & Reference #File Management

  5. Managed MLflow Landing Page
    Managed MLflow Landing Page
    5

    Managed MLflow

    Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.

    #Data Science And Machine Learning #Data Science Notebooks #Machine Learning Tools

  6. Seldon Landing Page
    Seldon Landing Page
    6

    Seldon

    Seldon increases engagement and revenue by providing a smarter personalised user experience.

    #Business & Commerce #Personalization #Data Dashboard 1 social mentions

  7. KEEL Landing Page
    KEEL Landing Page
    7

    KEEL

    KEEL contains classical knowledge extraction algorithms, preprocessing techniques, Computational Intelligence based learning algorithms, evolutionary rule learning algorithms, genetic fuzzy systems, evolutionary neural networks, etc.

    #Data Science And Machine Learning #Data Science Tools #Development

  8. neptune.ai Landing Page
    neptune.ai Landing Page
    8

    neptune.ai

    Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.
    Pricing:
    • Open Source
    • Freemium
    • Free Trial

    #Data Science And Machine Learning #Data Science Notebooks #Machine Learning Tools 22 social mentions

  9. Kubeflow Landing Page
    Kubeflow Landing Page
    9

    Kubeflow

    Kubeflow makes deployment of ML Workflows on Kubernetes straightforward and automated

    #Javascript UI Libraries #Web Frameworks #Data Science And Machine Learning 2 social mentions

Related categories

📊 Data Science And Machine Learning 🤖 Machine Learning 🏢 Business & Commerce 📂 Data Science Notebooks 📊 Data Science Tools

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If you want to make changes on any of the products, you can go to its page and click on the "Suggest Changes" link. Alternatively, if you are working on one of these products, it's best to verify it and make the changes directly through the management page. Thanks!
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