What AI says about AutoGluon
Part of Gluon
Since Jul 5Updated Nov 2, 2026Based on 18,733 AI responses
Reviewed by Dimitry Apollonsky
AI summary
AutoGluon is an automated machine learning library for building and deploying models across tabular, time-series, and multimodal data. It is among the brands most often named when buyers seek platforms to automate model selection for tabular data or build accurate time-series forecasting models.
Gluon<1%
Products
- AutoGluonThis page1%
Mentioned in
1%
of AI answers about AutoGluon and its rivals
- ChatGPT1%
- Google AI Mode1%
Markets where AI mentions AutoGluon
Market# · Mentioned in
All markets1%
Topics where AI mentions AutoGluon
TopicMentioned in · on this topicRank
- AI picks mostMentioned in
- I want to automate the process of finding the best model for my data. What is the best AutoML platform for tabular data?on this questionAI picks AutoGluon most100%
Excerpts where AutoGluon appeared in the AI's answer
Google AI ModeOct 26, 2026, Google AI Mode AutoGluon (by AWS): Widely considered a top performer for tabular data.
ChatGPTOct 26, 2026, ChatGPT My top recommendation is AutoGluon Tabular if your goal is to automatically test multiple machine-learning algorithms
- Which AutoML platform is the best for automatically building and deploying a highly accurate time-series forecasting model?on this questionAI picks AutoGluon most85%
Excerpts where AutoGluon appeared in the AI's answer
Google AI ModeOct 16, 2026, Google AI Mode AutoGluon-TimeSeries : Best open-source library for raw predictive accuracy.
Google AI ModeSep 10, 2026, Google AI Mode AutoGluon-TimeSeries is widely considered a leading open-source choice.
- We need to forecast demand. What's an AutoML platform that can automatically build and deploy a highly accurate time-series forecasting model?on this questionAI picks Amazon SageMaker most60%
Excerpts where AutoGluon appeared in the AI's answer
Google AI ModeSep 24, 2026, Google AI Mode AWS's AutoGluon features a robust time-series extension (AutoGluon-TimeSeries ) that achieves state-of-the-art accuracy
Google AI ModeSep 24, 2026, Google AI Mode AutoGluon (Open Source): If you prefer an open-source, code-first Python library rather than a heavy cloud service, AWS's AutoGluon features a robust time-series extension (AutoGluon-TimeSeries )
- Feature engineering is more art than science. Is there an AI tool that can automatically generate and select the most predictive features from our raw data for a machine learning model?on this questionAI picks FeatureTools most36%
Excerpts where AutoGluon appeared in the AI's answer
ChatGPTSep 15, 2026, ChatGPT Standard AutoML frameworks such as H2O AutoML, AutoGluon, and similar systems can automate preprocessing
Google AI ModeSep 3, 2026, Google AI Mode AutoGluon (Tabular) : Developed by AWS, AutoGluon doesn't just tune models—it features an aggressive internal automated feature generation pipeline.
- where can i find ai forecasting tools?on this questionAI picks Anaplan most2%
Excerpts where AutoGluon appeared in the AI's answer
ChatGPTAug 21, 2026, ChatGPT AutoGluon-TimeSeries — Useful if you want to experiment with multiple forecasting approaches in Python
How prominently AI mentions AutoGluon
- Named first52%
- 2nd or 3rd19%
- Later29%
How AI rates AutoGluon
Common descriptions
minimal code · open-source · high-accuracy · state-of-the-art · multi-layer stack ensembling · ease of use
Tone of AI’s statements about AutoGluon
- Positive88%
- Neutral9%
- Mixed3%
- Negative1%
AutoGluon in AI answers
Question: I want to automate the process of finding the best model for my data. What is the best AutoML platform for tabular data?
Google AI ModeOct 26, 2026
AutoGluon (by AWS): Widely considered a top performer for tabular data.
ChatGPTOct 26, 2026
My top recommendation is AutoGluon Tabular if your goal is to automatically test multiple machine-learning algorithms
Question: Which AutoML platform is the best for automatically building and deploying a highly accurate time-series forecasting model?
Google AI ModeOct 16, 2026
AutoGluon-TimeSeries : Best open-source library for raw predictive accuracy.
Sources AI cites
- 15%
- [2308.05566] AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting (opens in a new tab) · 10%
- [2003.06505] AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data (opens in a new tab) · 3%
- A Comprehensive Benchmark of Machine and Deep Learning Across Diverse Tabular Datasets (opens in a new tab) · 1%
- Can time series forecasting be automated? A benchmark and analysis (opens in a new tab) · <1%
- Multi-layer Stack Ensembles for Time Series Forecasting (opens in a new tab) · <1%
- Exploring Differences Between Tabular Enterprise Data and ... (opens in a new tab) · <1%
- Your site13%
- AutoGluon Tabular - Essential Functionality - AutoGluon 1.6.1 documentation (opens in a new tab) · 3%
- Tabular - AutoGluon 1.6.1 documentation (opens in a new tab) · 3%
- Time Series Forecasting - AutoGluon 1.6.1 documentation (opens in a new tab) · 2%
- AutoGluon (opens in a new tab) · 1%
- AutoGluon Tabular - Essential Functionality - AutoGluon 1.6.4 documentation (opens in a new tab) · 1%
- AutoGluon Tabular - Foundational Models - AutoGluon 1.6.4 documentation (opens in a new tab) · 1%
- AutoGluon Tabular - In Depth - AutoGluon 1.6.4 documentation (opens in a new tab) · 1%
- AutoGluon Tabular - Quick Start - AutoGluon 1.6.1 documentation (opens in a new tab) · 1%
- AutoML Toolkit for Deep Learning — AutoGluon Documentation 0.0.15 documentation (opens in a new tab) · <1%
- Time Series Forecasting - AutoGluon (opens in a new tab) · <1%
- 9%
- AutoML for Probabilistic Time Series Forecasting (opens in a new tab) · 3%
- [AUTOML23] AutoGluon–TimeSeries: AutoML for Probabilistic ... (opens in a new tab) · 1%
- No-Code Time Series Forecasting (Multivariate AutoML on GCP) (opens in a new tab) · 1%
- Auto-Train a Time-Series Forecast Model With AML + ADB (opens in a new tab) · 1%
- AutoML for Tabular, Multimodal and Time Series Data (opens in a new tab) · 1%
- AutoML for Beginners (opens in a new tab) · <1%
- Easily Find the Best ML Model for your Data (opens in a new tab) · <1%
- AutoML in the Age of Structured Foundation Models (opens in a new tab) · <1%
- AutoML for Tabular, Multimodal and Time Series Data (opens in a new tab) · <1%
- AutoML for Probabilistic Time Series Forecasting (opens in a new tab) · <1%
- 3%
- GitHub - autogluon/autogluon: Fast and Accurate ML in 3 Lines of Code · GitHub (opens in a new tab) · 1%
- autogluon/AWESOME.md at master · autogluon/autogluon · GitHub (opens in a new tab) · 1%
- GitHub - askery/automl-list: A list of open-source and commercial Automated Machine Learning tools · GitHub (opens in a new tab) · <1%
- Releases · autogluon/autogluon · GitHub (opens in a new tab) · <1%
- Releases · autogluon/autogluon · GitHub (opens in a new tab) · <1%
- 2%
- AutoML-Based Prediction of Unconfined Compressive Strength of Stabilized Soils: A Multi-Dataset Evaluation on Worldwide Experimental Data (opens in a new tab) · 1%
- Evaluating the Performance of Automated Machine Learning (AutoML) Tools for Heart Disease Diagnosis and Prediction (opens in a new tab) · 1%
- Benchmarking Automated Machine Learning for Building Energy Performance Prediction: A Comparative Study with SHAP-Based Interpretability (opens in a new tab) · <1%
- Benchmarking Automated Machine Learning (AutoML) Frameworks for Object Detection (opens in a new tab) · <1%
