17.7
BigML is a machine-learning platform for classification, regression, time-series forecasting, cluster analysis, anomaly detection, association…
Free planWebAPImacOS
Best Low-Code Machine Learning Platforms Software in 2026
Low-code machine learning services let you create and release models while writing less code by hand. Automated ML, visual workflows, model types, data connectors and deployment targets are among the comparison points. Check the licence, paid starting price, free plan or trial, and the access platform before choosing.
27.1
KNIME Analytics Platform is a free, open-source application from KNIME Analytics Platform, founded in 2006 and headquartered in Zurich, Switzerland.
Free planLinuxmacOSWindows
37.1
Obviously AI is a web-based, no-code tool for turning structured data into predictive models.
Free planWebAPI
- 4
MLJAR Studio
MLJAR Studio is a workspace for data analysis, machine-learning experiments, and Python notebooks that runs on Linux, macOS, Windows, or self-hosted environments.
Free planLinuxmacOSSelf-hostedWindows6.8From $20 a month - 5
JADBio
JADBio is a no-code automated machine learning platform for life scientists analyzing public or study data.
Free planWebAPISelf-hosted6.7Free plan - 6
Orange Data Mining
Orange Data Mining is free, open-source software for machine learning, data mining, and data visualization.
Free planLinuxmacOSWindows6.3Free plan - 7
Amazon SageMaker Canvas
Free planWeb6.2$1.90 usage-based - 8
H2O Driverless AI
H2O Driverless AI automates machine-learning work such as feature engineering, model building, visualization and interpretation.
WebAPILinuxmacOS6.2 - 9
Neural Designer
Neural Designer is a data science and machine learning platform for creating, training, and deploying neural network models through a visual, no-code workflow.
LinuxmacOSWindows6.2From $2,495 a year - 10
Clarifai Visual Search
Clarifai Visual Search helps people find people, places, objects, topics, and products in images and videos without describing them in words.
WebAPISelf-hosted6.1 - 11
DataRobot
DataRobot is a platform for developing, delivering, and governing agentic, generative, and predictive AI solutions.
WebAPILinuxSelf-hosted6.1 - 12
Akkio
Akkio is an AI platform that automates campaign workflows for media agencies and data providers.
WebAPISelf-hosted5.9 - 13
SAS Advanced Analytics
SAS Advanced Analytics refers to SAS Viya, a cloud-native data and AI platform for connecting data, building and governing models, and operationalizing decisions.
APISelf-hosted5.8 - 14
5.7 - 15
Alibaba Cloud Machine Learning Platform for AI
Alibaba Cloud Machine Learning Platform for AI is a web-based service for building and operating machine-learning workflows.
Web5.6From $0.06 a month - 16
IBM SPSS Modeler
macOSWindows5.6From $529 a month - 17
WEKA Data Platform
WEKA Data Platform provides shareable, scalable distributed filesystem storage for performance-intensive workloads such as AI/ML, life sciences,…
WebAPILinuxSelf-hosted5.6 - 18
dotData Enterprise
dotData Enterprise is a paid platform that automates feature engineering and machine learning through a no-code workflow for predictive analytics.
WebAPISelf-hosted5.4 - 19
Edge Impulse
AndroidiOSWebLinux5.4 - 20
Azure Machine Learning
Azure Machine Learning is a web-based service for machine-learning workflows.
Web5.3 - 21
MATLAB Classification Learner
WebLinuxmacOSWindows5.1 - 22
Altair AI Studio
LinuxmacOSWindows5.0 - 235.0
- 24
Oracle Machine Learning Notebooks
Oracle Machine Learning Notebooks is a hosted notebook environment accessed through the web.
Web5.0 - 254.8
Choosing well
Compare plans and trials
A no-cost plan can let you explore without paying right away. A free trial can provide time-limited access instead, so check its length and terms.
Listed entry prices vary: Alibaba Cloud Machine Learning Platform for AI starts at $0.06, Amazon SageMaker Canvas at $1.90, and BigML at $1,000 per month. Other tools show pricing on request.
Choose your build style
Automated ML can handle parts of model selection and preparation, while visual workflows let you arrange steps without writing the full pipeline by hand.
Check the supported model types and the amount of code you may need for custom work.
Check deployment targets
Deployment targets determine where a trained model can run. Review whether the platform supports the web, an API, self-hosted systems or another target that matches your setup.
Match your devices and data
Access platforms in these listings include web, Linux, macOS and Windows, alongside API and self-hosted options.
Data source connectors affect how easily you can bring existing data into a project. Check connector coverage alongside model and deployment needs.
Questions people ask
Is there a way to use a platform at no cost?
A free plan or free trial is available from tools in this category, but terms differ. Check whether the offer is ongoing, time-limited or requires payment details.
Which access platforms appear in the list?
The access choices listed are web, Linux, API, macOS, self-hosted and Windows.
Which factors matter beyond the price?
Look at automated ML, visual workflows, deployment targets, supported model types, data source connectors and access platforms.
Do these tools support visual workflows?
Visual workflows are one of the comparison fields for this category. Check the individual product details to see how a chosen platform handles them.