AI Tools·Standings

Data Science and Machine Learning Platforms

Data science and machine learning platforms help teams explore data, build models, and put them into use; compare deployment options and the notebook, automation, and pipeline features you need.

The signal score is out of 10. Marks show whether a platform has a public API, open-source code, or a free tier; check platform support and pricing details too.

  • 26 platforms
  • 3 with a public API on this page
  • 12 with a free tier
  • Checked 28 Sept 2026
  1. 1
    PG
    Paperspace Gradientpaperspace.com

    Paperspace is a cloud machine-learning platform for developing, training, and deploying AI applications with GPU-backed infrastructure.

    7.7 APIOpenFree Free tier · from $8/mo
  2. 2
    B
    Bioconductorbioconductor.org

    A free, open-source collection of tools for studying biological and genomic data.

    7.7 APIOpenFree Free tier
  3. 3
    GC
    Google Colabcolab.research.google.com

    Google Colab is a browser-based hosted Jupyter notebook service for Python, machine learning, data science and education that requires no local setup.

    6.3 APIOpenFree Free tier
  4. 4
    KA
    KNIME Analytics Platformknime.com

    Free analytics software for Linux, macOS, and Windows.

    6.3 APIOpenFree Free tier · from $19/mo
  5. 5
    D
    Deepnotedeepnote.com

    A collaborative data science workspace available on the web, desktop, and other platforms; free plan and trial.

    6.3 APIOpenFree Free tier · from $3,920/mo
  6. 6
    OD
    Orange Data Miningorangedatamining.com

    A free desktop app for building visual workflows to explore and analyze data on Windows, Mac, and Linux.

    6.2 APIOpenFree Free tier
  7. 7
    HA
    H2O.aih2o.ai

    H2O AI Cloud is an end-to-end platform for creating, deploying, monitoring, and sharing AI models and applications.

    6.1 APIOpenFree Free tier
  8. 8
    AN
    Anaconda Notebooksanaconda.com

    A cloud workspace for editing and running Python in JupyterLab through an Anaconda Cloud account.

    6.0 APIOpenFree Free tier · from $15/mo
  9. 9
    SC
    Saturn Cloudsaturncloud.io

    A control panel for GPU cloud services, with tools for model training, prediction services, and coding workspaces.

    5.8 APIOpenFree Free tier · $0.09 usage-based
  10. 10
    D
    DataRobotdatarobot.com

    A platform for developing and governing AI, available as a cloud service or on-premises; 30-day trial.

    5.7 APIOpenFree —
  11. 11
    HD
    H2O Driverless AIh2o.ai

    A tool that automates model building, feature preparation, validation, tuning and scoring; a free trial is available.

    5.7 APIOpenFree —
  12. 12
    SA
    SAS Advanced Analyticssas.com

    Analytics software for self-hosted use, with API access and pricing provided on request.

    5.0 APIOpenFree —
  13. 13
    DD
    Databricks Data Intelligence Platformdatabricks.com

    A web platform for SQL analytics and transactions, with cloud and self-managed storage; free plan and 14-day trial.

    4.9 APIOpenFree Free tier
  14. 14
    H3
    H2O-3h2o.ai

    A free web tool for automated machine learning, model evaluation and six data connectors.

    4.9 APIOpenFree Free tier
  15. 15
    IW
    IBM Watson Studioibm.com

    A web service for automated model building, forecasts, evaluation, and batch or live deployment, with a free plan.

    4.8 APIOpenFree Free tier
  16. 16
    CA
    Cloudera AI Registrycloudera.com

    A web service with hosted notebooks and workflow tools for cloud or self-managed setups.

    4.4 APIOpenFree From $0.20/mo
  17. 17
    AS
    Amazon SageMaker Canvasaws.amazon.com

    A web tool for automated model building, forecasting, evaluation, and batch or live deployment; from $1.90.

    4.3 APIOpenFree $1.90 usage-based
  18. 18
    AS
    Apache SystemDSsystemds.apache.org

    Free, open-source software for deploying models with GPU computing on Linux, macOS, or Windows.

    4.3 APIOpenFree —
  19. 19
    OD
    Oracle Data Mineroracle.com

    Software for model deployment and pipeline coordination on Linux, macOS, or Windows; pricing on request.

    4.3 APIOpenFree —
  20. 20
    AM
    Azure Machine Learningazure.microsoft.com

    A web service for automated model building, evaluation, forecasting, and batch or live deployment.

    4.1 APIOpenFree —
  21. 21
    DE
    Domino Enterprise AI Platformdomino.ai

    A web platform for coordinating model pipelines, tracking experiments and registering models; pricing on request.

    4.1 APIOpenFree —
  22. 22
    SN
    Snowflake Notebookssnowflake.com

    Cloud notebooks for machine learning and data lake work, with separate storage and compute.

    4.0 APIOpenFree —
  23. 23
    AS
    Amazon SageMaker AIaws.amazon.com

    A web service for managing machine learning pipelines, experiments, models, serving, and computing resources.

    4.0 APIOpenFree —
  24. 24
    AS
    Amazon SageMaker Studioaws.amazon.com

    A cloud workspace with notebooks, automated machine learning, model deployment, GPUs, and pipelines.

    4.0 APIOpenFree —
  25. 25
    OC
    Oracle Cloud Infrastructure Data Scienceoracle.com

    A web service for machine learning pipelines, model registration and serving, and managed computing resources.

    4.0 APIOpenFree —

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How to choose

How can I deploy the platform?

Start with the deployment model you need, such as a web service or a self-hosted setup. Platform availability can include web, Linux, macOS, Windows, and API access.

Compare model deployment and GPU compute support if you need to run models after building them.

What notebook environment does it offer?

Choose a notebook environment that fits how you work with data and code. Anaconda Notebooks and Deepnote are examples of notebook-focused options in this category.

Check platform support alongside the notebook features, especially if you need the tool on a particular operating system.

Does it include AutoML and pipeline orchestration?

Look for AutoML if you want tools to automate parts of model building. Pipeline orchestration helps organize connected steps in a data or machine-learning workflow.

Compare those capabilities with model deployment and GPU compute, since platforms differ in which workflow needs they address.

How should I compare plans and pricing?

Check whether a platform has a free plan, a free trial, or paid pricing, and note the starting price when one is listed. Some providers give pricing on request.

A free plan and open-source code are different signals: check both, along with the deployment model and features you need.

Questions

What should I compare when choosing a data science platform?

Compare deployment model, notebook environment, AutoML, model deployment, GPU compute, and pipeline orchestration. Also check platform support and pricing.

Which machine learning platforms have a free plan?

The comparison includes a free-plan mark. Check that mark on the platform you are considering; free plans and free trials are separate.

What does a platform's public API mark mean?

It indicates whether the platform has a public API, a way for other software to connect to it.

Should I choose a hosted or self-hosted machine learning platform?

Compare the deployment model with your needs. Platform support can include web, Linux, macOS, Windows, self-hosted deployment, or API access.

What is the difference between AutoML and pipeline orchestration?

AutoML automates parts of model building. Pipeline orchestration organizes connected steps in a data or machine-learning workflow.

Some top positions on this board can be paid placements, standing where they were sold. The facts on each platform are not for sale. How we rank · Disclosure