AI · alternatives · 2026
24 alternatives to R2 Learn
Everyone's Intelligent AutoML
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. R2 Learn launched in 2019; newer entries below may have overtaken it.
- 1
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 →
- 2
The fastest, most precise no-code AI in the world.
2020 · obviously.ai · its alternatives →
- 3
- 4
Sambot▲69AutoML assistant that does some predictions automatically
2022 · chromewebstore.google.com · its alternatives →
- 5
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 →
- 6
Train custom ML models with minimum effort and expertise
2018 · cloud.google.com · its alternatives →
- 7
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 →
- 8
Generative AutoML for Tabular Data. Contribute to sapientml/sapientml development by creating an account on GitHub.
2023 · github.com · its alternatives →
- 9
- 10
Get precise insight from AutoML in human language
2022 · super-cat.tech · its alternatives →
- 11
- 12
- 13
Superusers are intelligent, programmable bots that turn chat into a game you play together. They provide support 24/7, generate music and images, and search the web.
2020 · autocode.com · its alternatives →
- 14
MonkeyLearn 3.0▲363Get actionable data from text with machine learning
2018 · medallia.com · its alternatives →
- 15
a delightful machine learning tool that allows you to train, test, and use models without writing code - nidhaloff/igel
2020 · github.com · its alternatives →
- 16
- 17
- 18
OrchestraML▲82From English prompt to deployed ML model with human approval
Jun 2026 · orchestra-ml.vercel.app · its alternatives →
- 19
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 →
- 20
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation - mljar/mljar-supervised
2021 · github.com · its alternatives →
- 21
Open-source, easily create ready-to-use ML models for NLP
2022 · github.com · its alternatives →
- 22
Dynamic AutoML: Automate Data Tasks for Smarter Results.
2024 · github.com · its alternatives →
- 23
- 24
Provide an input CSV and a target field to predict, generate a model + code to run it. - minimaxir/automl-gs
2019 · github.com · 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 →