featuretools VS autogluon

Compare featuretools vs autogluon and see what are their differences.

featuretools

An open source python library for automated feature engineering (by alteryx)
feature-engineering Machine Learning Data Science automated-machine-learning Automl Python scikit-learn automated-feature-engineering
Source Code
featuretools.com
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autogluon

AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data [Moved to: https://github.com/autogluon/autogluon] (by awslabs)
Automl Machine Learning Data Science Deep Learning ensemble-learning image-classification Computer Vision Natural Language Processing structured-data object-detection Gluon transfer-learning Pytorch automated-machine-learning scikit-learn autogluon tabular-data hyperparameter-optimization time-series

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featuretools autogluon
2 19
7,022 5,088
0.3% -
8.3 9.9
18 days ago over 1 year ago
Python Python
BSD 3-clause "New" or "Revised" License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

featuretools

Posts with mentions or reviews of featuretools. We have used some of these posts to build our list of alternatives and similar projects.

autogluon

Posts with mentions or reviews of autogluon. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing featuretools and autogluon you can also consider the following projects:

functime - Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.

mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

Machine-Learning-with-Python - Small scale machine learning projects to understand the core concepts . Give a Star 🌟If it helps you. BONUS: Interview Bank coming up..!

carefree-learn - Deep Learning ❤️ PyTorch

hyperimpute - A framework for prototyping and benchmarking imputation methods

Auto-PyTorch - Automatic architecture search and hyperparameter optimization for PyTorch

sapientml - Generative AutoML for Tabular Data

NaiveNASlib.jl - Relentless mutation!!

upgini - Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs

DFSpot-Deepfake-Recognition - Determine whether a given video sequence has been manipulated or synthetically generated

nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

DeepCriticalLearning - Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.

featuretools vs functime autogluon vs mljar-supervised featuretools vs Machine-Learning-with-Python autogluon vs carefree-learn featuretools vs hyperimpute autogluon vs Auto-PyTorch featuretools vs sapientml autogluon vs NaiveNASlib.jl featuretools vs upgini autogluon vs DFSpot-Deepfake-Recognition featuretools vs nni autogluon vs DeepCriticalLearning