Alternatives

Products that do what AiWhiz - AutoML does

No-code AutoML for real-world enterprise deployment.

1
Obviously AI AutoML▲276
The fastest, most precise no-code AI in the world.
2020
2
Automa▲606
Build AI agents and RPA workflows in minutes
2021
3
AI & Analytics Engine▲281
Build AI models and get predictions, no code required
2023
4
Argil▲563
No-code AI automations on your data
2023
5
OrchestraML▲82
From English prompt to deployed ML model with human approval
Jun 2026 · orchestra-ml.vercel.app
6
AISmartCube▲641
Build AI tools like you're playing with Lego
2024
7
Vzy AI▲540
Create websites 10x faster with AI
2023
8
StackML▲252
Machine Learning platform in-browser, for creators
2019
9
BlogBowl▲730
Keyword‑driven AI articles auto‑posted to your blog
Nov 2025 · blogbowl.io
10
Forloop.ai▲516
No-code platform for web scraping & data automation
2024
11
GenFuse AI▲691
Automate any work with AI agents. No technical skills needed
2024 · genfuseai.com
12
Promptly AI▲380
No-code platform for generative AI apps and workflows
2024
13
Algorithmia▲154
Automate DevOps for AI/ML with the AI Layer
2014
14
Automi AI▲192
No-code generative AI apps
2023
15WA
Web App with GUI for AutoML on Tabular Data▲41
2023 · github.com
16
Aident AI Beta 2▲398
Open-world automations, managed in plain English
Mar 2026 · aident.ai
17
Albato▲310
API automation platform for all business processes
2021
18
Google CLOUD AUTOML▲93
Train custom ML models with minimum effort and expertise
2018
19
Promptly▲304
No-code platform for generative AI apps & chatbots
2023
20
EasySite AI▲394
Build AI apps that ship revenue in seconds
2025
21
DeepLobe▲94
Your no-code machine learning platform
2021
22AA
Autolabel, a Python library to label and enrich text data with LLMs▲153
Hi HN! I'm excited to share Autolabel, an open-source Python library to label and enrich text datasets with any Large Language Model (LLM) of your choice. We built Autolabel because access to clean, labeled data is a huge bottleneck for most ML/data science teams. The most capable LLMs are able to label data with high accuracy, and at a fraction of the cost and time compared to manual labeling. With Autolabel, you can leverage LLMs to label any text dataset with <5 lines of code. We’re eager for your feedback!
2023 · github.com
23
AI-Native Airtable▲333
Vibe code with the relaunched AI-native app platform.
2025
24
MakeML▲274
Train Neural Networks without a line of code
2019

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