Best Low-Code Machine Learning Platforms Software in 2026

It suits retailers building visual product discovery, recommendations, or snap-and-search experiences, as well as teams needing API or self-hosted visual similarity search.

JADBio suits life scientists, research institutions, biotech and pharma companies, and other scientists working with study or public data.

KNIME Analytics Platform

The desktop platform suits people who want to build data workflows visually, including those who need to combine visual steps with Python, R, or JavaScript.

Obviously AI

Obviously AI suits individuals, hobbyists, non-profits, and teams wanting no-code predictive modeling in a browser.

Studio suits analysts, data scientists, and teams working with data, as well as beginners and experts.

DataRobot

DataRobot is aimed at global enterprises, including regulated organizations in manufacturing, public sector, life sciences, insurance, financial services, and other listed sectors.

H2O describes data scientists, DevOps and IT professionals, and business analysts as audiences for Driverless AI.

Orange suits beginners and experienced data scientists who want visual analysis workflows, including learners and professional training settings.

Azure Machine Learning

Azure Machine Learning suits teams needing web-based forecasting, evaluation, automated learning or model deployment.