AI · alternatives · 2026

24 alternatives to StackML

Machine Learning platform in-browser, for creators

StackML is a no-code machine learning platform that runs directly in the browser, designed for creators and makers who want to use advanced ML models without technical setup. The platform eliminates installation… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. StackML launched in 2019; newer entries below may have overtaken it.

1
MakeML▲274
Train Neural Networks without a line of code
2019 · makeml.app · its alternatives →
2
Igel – A CLI tool to run machine learning without writing code▲405
a delightful machine learning tool that allows you to train, test, and use models without writing code - nidhaloff/igel
2020 · github.com · its alternatives →
3
ScoopML▲81
An AI assistant for machine learning engineers
2020 · its alternatives →
4
Obviously AI AutoML▲276
The fastest, most precise no-code AI in the world.
2020 · obviously.ai · its alternatives →
5
DeepLobe▲94
Your no-code machine learning platform
2021 · deeplobe.ai · its alternatives →
6
Stackby▲270
Spreadsheets, Databases and No-code APIs in one platform
2021 · stackby.com · its alternatives →
7PO
PlaidML, open source deep learning for any GPU▲52
Our company Vertex.AI has been working on this for a while but this is the first public release. We're starting with using PlaidML to bring OpenCL support to Keras and more frameworks, platforms, etc are coming. Yes, this means you can use use your AMD GPU for deep learning dev. Sorry, no Mac or Windows support yet although the brave can try building from source (it should work). http://vertex.ai/blog/announcing-plaidml https://github.com/plaidml/plaidml
2017 · its alternatives →
8
Web App with GUI for AutoML on Tabular Data▲41
AutoML Web App - build Machine Learning pipeline in automatic way with Graphical User Interface (GUI). You can run app locally! - mljar/automl-app
2023 · github.com · its alternatives →
9
Forloop.ai▲516
No-code platform for web scraping & data automation
2024 · forloop.ai · its alternatives →
10
ZenML▲84
Create reproducible machine learning pipelines
2020 · github.com · its alternatives →
11
Stackby – Spreadsheets, Databases and No-code APIs in a single platform▲92
Stackby combines spreadsheets, relational databases, AI fields & agents and automations in one no-code workspace. Free for up to 5 users — no credit card required.
2021 · stackby.com · its alternatives →
12
ZenML, extensible open-source MLOps framework for reproducible ML▲37
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io. - zenml-io/zenml
2020 · github.com · its alternatives →
13
DeepTagger▲386
Hi HN, I built a tool for teaching LLMs how to extract structured data from documents by annotating, not prompt engineering. I’d love your feedback. How it works: - Upload a document (DOCX, PDF, image, etc.) - Select and tag parts of it (supports nesting, arrays, custom tag structures) - Upload another document → click "predict" → see editable annotations - Amend them and save as a new example - Call the API with a third document → get JSON back Use cases: - Identify "important clauses" in contracts - Extract "total value" from invoices - Anything subjective, like "healthy ingredients" on a…
2025 · deeptagger.com · its alternatives →
14
SapientML – Generative AutoML for Tabular Data▲82
Generative AutoML for Tabular Data. Contribute to sapientml/sapientml development by creating an account on GitHub.
2023 · github.com · its alternatives →
15
ML5.js▲249
Friendly machine learning for the web
2018 · ml5js.org · its alternatives →
16
Graphite Note▲84
Unlock the power of AI with no-code machine learning
2022 · graphite-note.com · its alternatives →
17
StackerX▲257
No-Code internal tools powered by Airtable, GSheets + more
2021 · stacker.ai · its alternatives →
18
MindsDB▲235
In-database machine learning
2022 · its alternatives →
19
Machine learning automation from creating to using models in production▲72
a delightful machine learning tool that allows you to train, test, and use models without writing code - GitHub - nidhaloff/igel at v0.4.0
2021 · github.com · its alternatives →
20
Lionbridge AI Annotation Platform▲78
All-in-one data annotation platform for machine learning
2019 · its alternatives →
21
Stacker – build web apps in your browser, without code▲31
AI-native application platform for building internal tools, CRMs, and dashboards
2018 · stacker.app · its alternatives →
22
Apple MLX▲138
An array framework for machine learning on Apple silicon
2023 · pypi.org · its alternatives →
23
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 · its alternatives →
24SM
SpotML – Managed ML Training on Cheap AWS/GCP Spot Instances▲157
2021 · spotml.io · its alternatives →

Also compare

Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →