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Ranked on the record · 28 apps

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

NameIn a lineRecord scorePrice fromTry it freeRuns onFacts read
01 BigMLIt suits analysts, software developers and scientists who need machine-learning tools, model explanations or workflow automation.5.7$10,000 a yearFree planWeb, Mac, API, Self-hosted15 Oct 2026
02 KNIME Analytics PlatformThe free desktop platform suits people building data workflows for personal use.5.5$19 a monthFree planWindows, Mac, Linux29 Sep 2026
03 Neural DesignerIt suits data scientists, educators, researchers, and teams building neural-network models across engineering, life sciences, medicine, and business.5.5$2,495 a yearFree planWindows, Mac, Linux1 Oct 2026
04 MLJAR StudioIt suits beginners, experts, analysts, data scientists, and teams that want visible Python workflows with local-first processing.5.3$20 a monthFree planWindows, Mac, Linux, Self-hosted3 Oct 2026
05 JADBioJADBio is intended for life scientists and may also suit research institutions, biotech and pharma companies, and other scientists working with public or study data.4.9Free planFree planWeb, API, Self-hosted29 Sep 2026
06 Obviously AIIt may suit individuals, hobbyists, and non-profits seeking predictive models from structured data, as the Free plan is described for those audiences.4.8Free planFree planWeb, API15 Oct 2026
07 Orange Data MiningOrange may suit beginners, data scientists, and people learning data science in schools, universities, or professional training.4.7Free planFree planWindows, Mac, Linux2 Oct 2026
08 Akkio4.5Free planFree planWeb, API, Self-hosted2 Oct 2026
09 H2O Driverless AI4.5FreeFree trialWeb, Windows, Mac, Linux4 Oct 2026
10 DataRobotIt suits enterprises developing and governing AI, especially organizations in regulated industries.4.4—Free trialWeb, Linux, API, Self-hosted5 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.

01

It suits analysts, software developers and scientists who need machine-learning tools, model explanations or workflow automation.

Free plan Free trial From $10,000 a year WebMacAPISelf-hosted
02

KNIME Analytics Platform

The free desktop platform suits people building data workflows for personal use.

WindowsMacLinux
Record5.5 Visit
03

Neural Designer

It suits data scientists, educators, researchers, and teams building neural-network models across engineering, life sciences, medicine, and business.

WindowsMacLinux
Record5.5 Visit
04

MLJAR Studio

It suits beginners, experts, analysts, data scientists, and teams that want visible Python workflows with local-first processing.

WindowsMacLinux+1
Record5.3 Visit
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.

WebAPISelf-hosted
Record4.9 Visit
6
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.

WebAPI Free plan Record4.8 Visit
7
Orange Data Mining

Orange may suit beginners, data scientists, and people learning data science in schools, universities, or professional training.

WindowsMacLinux Free plan Record4.7 Visit
8 WebAPISelf-hosted Free plan Record4.5 Visit
9 WebWindowsMac+3 Free Record4.5 Visit
10
DataRobot

It suits enterprises developing and governing AI, especially organizations in regulated industries.

WebLinuxAPI+1 — Record4.4 Visit
11 AndroidiPhone & iPadWeb+3 Free plan Record4.0 Visit
12 Web $0.06 usage-based Record3.7 Visit
13 WebAPISelf-hosted — Record3.7 Visit
14 Web — Record3.7 Visit
15 APISelf-hosted — Record3.7 Visit
16 WebLinuxAPI+1 — Record3.7 Visit
17
Clarifai Visual Search

It suits retailers and teams building image-based discovery, recommendations, or visual search.

WebAPISelf-hosted — Record3.6 Visit
18 WindowsMacLinux Free plan Record3.1 Visit
19 WebWindowsMac+1 — Record2.9 Visit
20 Web Free plan Record2.8 Visit
21 Web $1.90 usage-based Record2.6 Visit
22 WindowsMac $529 a month, billed yearly Record2.6 Visit
23 Web — Record2.4 Visit
24
Azure Machine Learning

It suits teams running forecasting, time-series, evaluation, or automated machine-learning workflows on the web.

Web — Record2.3 Visit
25 Web — Record2.3 Visit

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.

Questions

Are free plans available?
Yes. Some listed platforms provide a free plan, while others use paid plans or trials.
Can I try a platform before paying?
Trial periods listed here range from three days with BigML and seven with Akkio to 14 days with Databricks Mosaic AI and 30 days with Alteryx Machine Learning and DataRobot.
Which factors matter besides price?
Review automated ML, visual workflows, deployment targets, supported model types, data source connectors and access platforms.
Which access platforms are covered?
The listings cover access through web, Linux, API, macOS, self-hosted and Windows environments.
Do paid prices appear for these tools?
Starting prices are shown for products including Alibaba Cloud Machine Learning Platform for AI, Amazon SageMaker Canvas and BigML; other products quote pricing on request.