It suits analysts, software developers and scientists who need machine-learning tools, model explanations or workflow automation.
Best Low-Code Machine Learning Platforms Software 2026
Every product here is ranked by Samsung Mobile US Press's record score: what its maker publishes about it, where it runs (Android first), whether it is free to try, and how recently the facts were read.
KNIME Analytics Platform
The free desktop platform suits people building data workflows for personal use.
WindowsMacLinuxNeural Designer
It suits data scientists, educators, researchers, and teams building neural-network models across engineering, life sciences, medicine, and business.
WindowsMacLinuxMLJAR Studio
It suits beginners, experts, analysts, data scientists, and teams that want visible Python workflows with local-first processing.
WindowsMacLinux+1JADBio
JADBio is intended for life scientists and may also suit research institutions, biotech and pharma companies, and other scientists working with public or study data.
WebAPISelf-hostedIt may suit individuals, hobbyists, and non-profits seeking predictive models from structured data, as the Free plan is described for those audiences.
Orange may suit beginners, data scientists, and people learning data science in schools, universities, or professional training.
It suits enterprises developing and governing AI, especially organizations in regulated industries.
It suits retailers and teams building image-based discovery, recommendations, or visual search.
It suits teams running forecasting, time-series, evaluation, or automated machine-learning workflows on the web.