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The Best Low-Code Machine Learning Platforms Software in 2026

We researched low-code machine learning platforms using official vendor websites, including pricing pages, plan tables, and product documentation. Rankings focus on the category’s core job, value for money, and verified features that help teams create, evaluate, and deploy machine learning models with less hand-coding.

Our top picks

  1. Top ranked

    9.3/10

    A desktop ML environment pairing visual workflows and AutoML with Python and R support.

    Free plan

  2. Runner-up

    An end-to-end visual ML platform with usage-based module pricing and a free activation.

    Free plan

  3. Top-ranked free plan

    A free, visual ML platform with broad connectors and scripting, but no automated ML.

    Free plan

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

The full ranking 28 tools, best first

28 tools
  1. Best forTeams wanting visual analytics and AutoML flexibility

    A desktop ML environment pairing visual workflows and AutoML with Python and R support.

    9.3/10★★★★★
    Try Altair AI Studio
  2. Best forTeams wanting a visual, cloud-based ML workflow

    An end-to-end visual ML platform with usage-based module pricing and a free activation.

    9.2/10★★★★★
    Visit Alibaba Cloud
  3. Best forAzure-centric teams building and operating ML models

    A full ML lifecycle service for teams building and operating models in Azure.

    9.1/10★★★★★
    Visit Microsoft
  4. Best forData teams already building on Databricks

    A cloud-focused ML lifecycle platform for teams building on Databricks.

    9.0/10★★★★☆
    Visit Databricks
  5. SAS Viya

    Best forEnterprises governing ML across environments

    Governed machine learning from forecasting through deployment, with sales-led pricing.

    8.9/10★★★★☆
    Visit SAS Viya
  6. Best forMid-sized and large teams prioritizing AutoML

    Automates model development and deployment for teams that need configurable AutoML.

    Pricing on request · 21-day trial Our H2O Driverless AI verdict → Visit H2O.ai
    8.8/10★★★★☆
    Visit H2O.ai
  7. DataRobot

    Best forEnterprises needing managed AutoML and model governance

    Managed AutoML with forecasting and governance for enterprises deploying models at scale.

    Pricing on request · 30-day trial Our DataRobot verdict → Visit DataRobot
    8.7/10★★★★☆
    Visit DataRobot
  8. Best forHuawei Cloud users seeking visual ML lifecycle tools

    A visual, cloud-based ML lifecycle platform for Huawei Cloud teams.

    8.6/10★★★★☆
    Visit ModelArts
  9. Best forBudget-conscious teams building visual data workflows

    A free, visual ML platform with broad connectors and scripting, but no automated ML.

    8.5/10★★★★☆
    Visit KNIME
  10. Best forAWS teams seeking no-code AutoML and deployment

    A visual AutoML workspace for AWS teams, with forecasting and batch or real-time deployment.

    8.4/10★★★★☆
    Visit AWS
  11. Best forEnterprises automating feature discovery and prediction

    Automates feature discovery through model deployment for enterprise prediction workflows.

    8.3/10★★★★☆
    Visit dotData
  12. Pecan AI

    Best forTeams automating business predictions across data systems

    Automated predictive modeling and delivery for teams connecting business data systems.

    Pricing on request Our Pecan AI verdict → Visit Pecan AI
    8.2/10★★★★☆
    Visit Pecan AI
  13. BigML

    Best forTeams wanting broad model types and deployment choices

    Broad modeling and deployment options, but the paid entry price is high.

    Free plan · 3-day trial Our BigML verdict → Visit BigML
    8.1/10★★★★☆
    Visit BigML
  14. Best forAlteryx users seeking guided automated modeling

    Guided model building and forecasting for Alteryx users, packaged within Alteryx One.

    8.0/10★★★★☆
    Visit Alteryx
  15. Best forIndividuals and small teams wanting free visual modeling

    A free visual desktop toolkit for building, inspecting, and extending machine-learning workflows.

    7.9/10★★★★☆
    Visit site
  16. Best forMATLAB users building and comparing classifiers

    A MATLAB app for training, comparing, interpreting, and exporting classification models.

    • Automated ML
    • Visual workflows
    7.8/10★★★★☆
    Visit MathWorks
  17. Best forOrganizations preferring desktop drag-and-drop analysis

    A visual modeling environment with broad analytics capabilities and a $529 monthly annual subscription.

    7.7/10★★★★☆
    Visit IBM
  18. Best forOracle users prototyping ML in collaborative notebooks

    A collaborative Oracle notebook environment with code flexibility, scheduling, GPUs, and versioning.

    7.7/10★★★★☆
    Visit Oracle
  19. Best forTencent Cloud teams prioritizing security operations

    A broad cloud security suite, not a low-code machine learning platform.

    7.7/10★★★★☆
    Visit Tencent Cloud
  20. JADBio

    Best forResearch teams focused on biosignature discovery

    Specialized no-code AutoML for biomedical feature discovery and survival analysis.

    Free plan · 14-day trial Our JADBio verdict → Visit JADBio
    7.7/10★★★★☆
    Visit JADBio
  21. Best forUsers seeking visual neural-network modeling

    A focused visual toolkit for building, evaluating, and exporting neural-network models.

    7.6/10★★★★☆
    Try Neural Designer
  22. Best forSmall teams wanting quick no-code predictions

    Build and deploy predictive models without code, with workflows for monitoring and automation.

    7.5/10★★★★☆
    Visit Obviously AI
  23. Best forBeginners training simple image, sound, or pose models

    A free browser tool for training and exporting simple image, audio, and pose models.

    • Automated ML
    • Visual workflows
    7.4/10★★★★☆
    Visit site
  24. Best forPython users wanting low-cost local AutoML workflows

    Local Python notebooks, AutoML, and AI assistance with plans from free to $60 monthly.

    7.3/10★★★★☆
    Visit MLJAR Studio
  25. Best forTeams deploying ML to constrained edge devices

    A focused edge-ML platform with sensor workflows, device profiling, and deployment-ready exports.

    7.2/10★★★★☆
    Visit Edge Impulse
  26. Best forTeams whose core need is visual search and retrieval

    A visual-search-focused AI platform with retrieval, computer vision, and custom model deployment.

    6.9/10★★★☆☆
    Visit Clarifai
  27. Akkio

    Best forMedia teams exploring data without code

    A chat-based analytics and prediction platform geared toward media teams.

    Free plan · pricing on request · 7-day trial Our Akkio verdict → Visit Akkio
    6.8/10★★★☆☆
    Visit Akkio
  28. Best forAI infrastructure teams needing high-performance storage

    High-performance storage for AI teams, not a low-code machine-learning workflow builder.

    Pricing on request Our WEKA Data Platform verdict → Contact WEKA
    5.2/10★★★☆☆
    Contact WEKA

No tools match those filters.

Compare at a glance

#ToolFree planPaid fromScore
1Altair AI StudioYes9.3
2Alibaba Cloud Machine Learning Platform for AIYes$0.06/unit usage-based9.2
3Azure Machine LearningNo9.1
4Databricks Mosaic AI9.0
5SAS ViyaNo8.9
6H2O Driverless AINo8.8
7DataRobot8.7
8Huawei ModelArts8.6
9KNIME Analytics PlatformYesFree8.5
10Amazon SageMaker CanvasNo$1.90/unit usage-based8.4
11dotData Enterprise8.3
12Pecan AI8.2
13BigMLYes$10,000/yr8.1
14Alteryx Machine LearningNo8.0
15Orange Data MiningYesFree7.9
16MATLAB Classification LearnerNo7.8
17IBM SPSS ModelerNo$529/user/mo7.7
18Oracle Machine Learning NotebooksNo7.7
19Tencent Cloud Security CenterYes7.7
20JADBioYes$2,199/mo7.7
21Neural DesignerYes$2,495/user/yr7.6
22Obviously AIYes7.5
23Google Teachable MachineFree7.4
24MLJAR StudioYes$20/mo7.3
25Edge ImpulseYes7.2
26Clarifai Visual SearchNo6.9
27AkkioYes6.8
28WEKA Data Platform5.2

Head-to-head All 15 comparisons →

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How we rank Low-Code machine learning platforms software

Every tool on this page was researched by iTechGuides Editors from its official website — pricing pages, plan tables and product documentation. We rank on how well each one does this category's core job, what the free or entry plan includes, and where it falls short. Where we have enough verified facts, the score out of 10 is a rubric — job fit, value and how much we could verify — shown with its breakdown on every tool's page; a tool we have not verified enough to score yet shows its rank without a number. Scores are re-checked when a product changes its plans. Read the full editorial policy, or submit a tool we missed.

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update