featuretools VS Auto_ViML

Compare featuretools vs Auto_ViML and see what are their differences.

Auto_ViML

Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request. (by AutoViML)
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featuretools Auto_ViML
2 2
7,022 490
0.3% -
8.3 4.2
19 days ago 5 months 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.

Auto_ViML

Posts with mentions or reviews of Auto_ViML. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-19.

What are some alternatives?

When comparing featuretools and Auto_ViML 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..!

AutoViz - Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

autogluon - AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data [Moved to: https://github.com/autogluon/autogluon]

Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

hyperimpute - A framework for prototyping and benchmarking imputation methods

Python-Schema-Matching - A python tool using XGboost and sentence-transformers to perform schema matching task on tables.

sapientml - Generative AutoML for Tabular Data

evalml - EvalML is an AutoML library written in python.

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