autogluon and auto_ml

AutoGluon is a mature, actively maintained framework for automated end-to-end ML pipelines, while auto_ml is an unmaintained alternative that served similar purposes but lacks current development and adoption, making them direct competitors rather than complementary tools.

autogluon
76
Verified
auto_ml
59
Established
Maintenance 17/25
Adoption 13/25
Maturity 25/25
Community 21/25
Maintenance 0/25
Adoption 10/25
Maturity 25/25
Community 24/25
Stars: 10,091
Forks: 1,120
Downloads:
Commits (30d): 11
Language: Python
License: Apache-2.0
Stars: 1,655
Forks: 311
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No risk flags
Stale 6m

About autogluon

autogluon/autogluon

Fast and Accurate ML in 3 Lines of Code

AutoGluon helps you quickly build highly accurate machine learning models without deep expertise. You provide your raw data – whether it's tabular, text, images, or time series – and it automatically produces powerful predictive models for tasks like forecasting, classification, or regression. This is ideal for data scientists, analysts, or researchers who need to develop effective ML solutions efficiently.

predictive-modeling data-analysis forecasting machine-learning-automation business-intelligence

About auto_ml

ClimbsRocks/auto_ml

[UNMAINTAINED] Automated machine learning for analytics & production

This tool helps data analysts and business intelligence professionals quickly build predictive models. You provide a dataset with historical information and specify what you want to predict. The system then automatically generates a trained model that can make forecasts or classifications, helping you understand trends and automate decision-making without deep machine learning expertise.

predictive-analytics business-intelligence data-modeling automated-forecasting production-deployment

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