AI · alternatives · 2026

24 alternatives to ScoopML

An AI assistant for machine learning engineers

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. ScoopML launched in 2020; newer entries below may have overtaken it.

1
StackML▲252
Machine Learning platform in-browser, for creators
2019 · 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
Obviously AI AutoML▲276
The fastest, most precise no-code AI in the world.
2020 · obviously.ai · its alternatives →
4
MakeML▲274
Train Neural Networks without a line of code
2019 · makeml.app · its alternatives →
5
ZenML▲84
Create reproducible machine learning pipelines
2020 · github.com · its alternatives →
6
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 →
7
retrieve.tools▲286
AI tool database organized by industry, function, and task
2025 · retrieve.tools · its alternatives →
8
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 →
9
Comet.ml▲208
Automatically track machine learning code and experiments
2018 · comet.com · its alternatives →
10
Sambot▲69
AutoML assistant that does some predictions automatically
2022 · chromewebstore.google.com · its alternatives →
11
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 →
12
MonkeyLearn 3.0▲363
Get actionable data from text with machine learning
2018 · medallia.com · its alternatives →
13
Google CLOUD AUTOML▲93
Train custom ML models with minimum effort and expertise
2018 · cloud.google.com · its alternatives →
14SM
SpotML – Managed ML Training on Cheap AWS/GCP Spot Instances▲157
2021 · spotml.io · its alternatives →
15
Evidently AI▲299
Open-source monitoring for machine learning models
2021 · evidentlyai.com · its alternatives →
16
Pi▲164
The ML & Data Science toolkit; built for Software Engineers.
2025 · its alternatives →
17
MissingLink▲161
Deep learning automation for engineers
2018 · forbidden.missinglink.ai · its alternatives →
18
AutoML Python Package for Tabular Data with Automatic Documentation▲67
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation - mljar/mljar-supervised
2022 · github.com · its alternatives →
19
Amazon Machine Learning ▲211
Machine learning made easy for developers of any skill level
2015 · aws.amazon.com · its alternatives →
20
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 →
21
FastML▲11
Ship Machine Learning Pipelines. Fast.
2024 · its alternatives →
22
Paperspace for Machine Learning▲152
A Linux desktop in the cloud built for Machine Learning
2016 · its alternatives →
23
A delightful tool that provides machine learning for everyone▲5
a delightful machine learning tool that allows you to train, test, and use models without writing code - nidhaloff/igel
2020 · github.com · its alternatives →
24
HeroML▲84
Write AI workflow apps & tools, 4000+ free prompt libraries
2023 · hero.page · its alternatives →

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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 →