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
Facts read 20 Sep 2026 – 15 Oct 2026
Visual builders and automated machine-learning tools let these platforms take models from creation through deployment. They suit buyers who want to compare model support, data connections and deployment options.
The standings: top 10
| Name | In a line | Record score | Price from | Try it free | Runs on | Facts read |
|---|---|---|---|---|---|---|
| 01 BigML | It suits analysts, software developers and scientists who need machine-learning tools, model explanations or workflow automation. | 5.7 | $10,000 a year | Free plan | Web, Mac, API, Self-hosted | 15 Oct 2026 |
| 02 KNIME Analytics Platform | The free desktop platform suits people building data workflows for personal use. | 5.5 | $19 a month | Free plan | Windows, Mac, Linux | 29 Sep 2026 |
| 03 Neural Designer | It suits data scientists, educators, researchers, and teams building neural-network models across engineering, life sciences, medicine, and business. | 5.5 | $2,495 a year | Free plan | Windows, Mac, Linux | 1 Oct 2026 |
| 04 MLJAR Studio | It suits beginners, experts, analysts, data scientists, and teams that want visible Python workflows with local-first processing. | 5.3 | $20 a month | Free plan | Windows, Mac, Linux, Self-hosted | 3 Oct 2026 |
| 05 JADBio | 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. | 4.9 | Free plan | Free plan | Web, API, Self-hosted | 29 Sep 2026 |
| 06 Obviously AI | It may suit individuals, hobbyists, and non-profits seeking predictive models from structured data, as the Free plan is described for those audiences. | 4.8 | Free plan | Free plan | Web, API | 15 Oct 2026 |
| 07 Orange Data Mining | Orange may suit beginners, data scientists, and people learning data science in schools, universities, or professional training. | 4.7 | Free plan | Free plan | Windows, Mac, Linux | 2 Oct 2026 |
| 08 Akkio | 4.5 | Free plan | Free plan | Web, API, Self-hosted | 2 Oct 2026 | |
| 09 H2O Driverless AI | 4.5 | Free | Free trial | Web, Windows, Mac, Linux | 4 Oct 2026 | |
| 10 DataRobot | It suits enterprises developing and governing AI, especially organizations in regulated industries. | 4.4 | — | Free trial | Web, Linux, API, Self-hosted | 5 Oct 2026 |
This finder is ordered by newest releases first and uses figures published by the makers. Use the listings to check free tiers, starting prices, workflow features, deployment destinations and access methods; no ranking is applied.
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.
Before you choose
Check plans and trials
Some entries provide a free tier, while others rely on paid subscriptions or trial access. Review the pricing model before you commit.
Trial lengths vary: Akkio offers seven days, BigML offers three days, and Alteryx Machine Learning and DataRobot offer 30 days.
Match the workflow
Assess automated machine learning and visual workflow features against the way you intend to build models. These fields show whether a platform matches a low-code process.
Supported model types can narrow your choice when a project needs a particular modeling approach.
Review data and deployment
Check the data source connectors before moving data into a platform. Connector coverage can affect how a project starts and how it is maintained.
Compare deployment targets, such as web, API or self-hosted use, with the systems you need to reach.
Check access platforms
Across the list, access choices include web, Linux, API, macOS, self-hosted and Windows. Confirm the access platform that fits your setup.
Azure Machine Learning lists web access. Clarifai Visual Search can be reached through an API, a self-hosted setup or the web.