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Visual Builder Directory

No-Code AI Development Platforms

A hand-verified directory of no-code and low-code platforms for building AI applications — from enterprise AutoML suites to computer-vision builders and business-automation agents. Every listing below was checked live; dead links were removed and rebrands were relabeled with a note.

24Platforms Listed
4Categories
AutoML & Enterprise Platforms Vision & Creative AI Data & Business Automation Developer Libraries & Tools

AutoML & Enterprise Platforms

10 platforms
01 · PLATFORM

BigML

Machine learning made beautifully simple — build, evaluate, and deploy predictive models without wrestling with infrastructure or a data science team.

02 · PLATFORM

DataRobot

An enterprise AI and agent workforce platform that automates the path from raw data to production-grade predictive and agentic AI applications.

03 · PLATFORM

Microsoft Azure Automated ML

Automatically build machine learning models with speed and scale inside Azure Machine Learning, with no-code UI and SDK options.

04 · PLATFORM

Google Cloud AI Platform (formerly AutoML)

Train high-quality custom machine learning models with minimal ML expertise — AutoML's capabilities now live inside Google's unified agent and model platform.

05 · PLATFORM

H2O AutoML

Open-source AutoML that trains and evaluates a wide range of models automatically, with a no-code web GUI alongside R and Python interfaces. The h2o Python package on PyPI was at 3.46.0.12 (12 August 2026).

06 · PLATFORM

RapidMiner (Siemens)

An end-to-end enterprise AI and analytics portfolio unifying data preparation, machine learning, knowledge graphs, and agentic AI. Siemens said it closed its acquisition of Altair, which owned RapidMiner, on 26 March 2025.

07 · PLATFORM

Dataiku

A unified platform for building, governing, and scaling AI agents, machine learning models, and analytics across the enterprise.

08 · PLATFORM

Pecan AI

A conversational predictive AI agent — ask a business question in plain English and get a validated forecast, no data science team required.

09 · PLATFORM

Amazon SageMaker Canvas

A no-code ML interface that lets business analysts create machine learning models without ML experience, per AWS.

10 · PLATFORM

KNIME

Free and open-source visual workflow builder for data analysis and data science, with a paid enterprise tier for production, per its site.

Vision & Creative AI

6 platforms
11 · VISION

RunwayML

Began as a no-code toolkit for creative ML experimentation; has since grown into a foundation-model company building general world models for video and simulation.

12 · VISION

Clarifai

The fastest way to transform unstructured image, video, text, and audio data into actionable insights, with no-code model workflows.

13 · VISION

Roboflow

With a few images, train a working computer vision model in an afternoon — annotation, training, and deployment tools for developers and enterprises. The roboflow Python package v1.7.3 was released on 26 October 2026, according to PyPI.

14 · VISION

Viso.ai

Viso Suite provides one integrated, no-code suite of tools to rapidly develop, deploy, and operate computer vision applications at enterprise scale.

15 · VISION

Create ML (Apple)

An entirely new way of training ML models on Mac — Create ML takes the complexity out of model training while producing powerful Core ML models.

16 · VISION

Teachable Machine

A web-based tool from Google that makes creating machine learning models fast and easy — train image, sound and pose models with no code.

Data & Business Automation

5 platforms
17 · AUTOMATION

Zams (formerly Obviously AI)

AI workers that automate research, CRM updates, and reporting across your business apps — no code, and no workflows to maintain.

18 · AUTOMATION

SuperAnnotate

Human-in-the-loop data annotation and evaluation pipelines that turn raw multimodal data into AI-ready training datasets, at speed.

19 · AUTOMATION

Nanonets

AI agents that automate document-heavy business processes — accounts payable, claims processing, order management — without writing code.

20 · AUTOMATION

Levity

Reliable AI automation for logistics operations — turning high email volumes and documents into structured, actionable workflows.

21 · AUTOMATION

Aito

A predictive database that returns instant, calibrated predictions from your own live data in one query — no model training required.

Developer Libraries & No-Code Tools

3 platforms
22 · LIBRARY

PyCaret

An open-source, low-code machine learning library in Python that automates machine learning workflows end to end. The latest PyCaret release on PyPI is 3.3.2, from April 2024, though the GitHub repository was updated in July 2026.

23 · LIBRARY

Auto_ViML

Automatically build multiple, interpretable ML models with a single line of code — open source on GitHub. The GitHub repository's last commit was in January 2025, so check its activity before adopting it. The GitHub repository was last updated in January 2025.

24 · LIBRARY

Orange Data Mining

Open-source data mining toolbox with visual, drag-and-drop workflows for machine learning and data visualisation.

Frequently Asked Questions

What are no-code AI platforms?

Tools that let people build machine learning models and AI applications through visual interfaces and automation instead of writing code, from AutoML suites to computer-vision builders.

What does this directory cover?

24 platforms in four groups: AutoML and enterprise platforms, vision and creative AI, data and business automation, and developer libraries and tools.

Are rebranded products labelled?

Yes. Every listing was checked live, dead links were removed, and rebrands are labelled with a note, for example Google's AutoML capabilities now sitting inside Google Cloud's unified AI platform.

Is no-code AI suitable for production?

It depends on the platform and the use case. Many teams use no-code tools for prototyping and citizen-developer projects, so check each vendor's documentation on governance, scaling and model monitoring.

How current is this page?

Links were checked on 4 November 2026. Pecan AI returned 403 to automated checks, which looks like bot blocking, and the PyCaret and Clarifai sites did not respond to automated checks although PyCaret's documentation and repository load, so those links may need a manual click. Descriptions follow each vendor's or project's own pages and are not rankings or accuracy comparisons. Library versions are from PyPI as of that date.