Project Name	Stars	Packages Using This	Most Recent Commit	Total Releases	Latest Release	Open Issues	License	Language
Autoviz	1,550	7	3 months ago	75	October 30, 2023	1	apache-2.0	Python
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Mcfly	355		a year ago	12	July 31, 2020	61	apache-2.0	JavaScript
A deep learning tool for time series classification and regression
Lares	227	3	3 months ago	17	November 04, 2023	4		R
R Library for Analytics and Machine Learning
Atmseer	163		2 years ago			27		TypeScript
Visual Exploration of Automated Machine Learning with ATMSeer
Atom	137		4 months ago	48	June 14, 2023	8	mit	Jupyter Notebook
Automated Tool for Optimized Modelling
Pipelinevis	79	2	7 months ago	19	May 04, 2022	13	bsd-3-clause	JavaScript
Pipeline Profiler is a tool for visualizing machine learning pipelines generated by AutoML tools.
Deepcave	58		3 months ago	8	November 08, 2023	59	apache-2.0	Python
An interactive framework to visualize and analyze your AutoML process in real-time.
Xautoml	31		5 months ago	5	April 08, 2022	1	bsd-3-clause	TypeScript
XAutoML: A Visual Analytics Tool for Understanding and Validating Automated Machine Learning
Automl Gs Examples	12		5 years ago			1	mit	Python
Examples + Visualizations of datasets modeled using automl-gs

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Autoviz ⭐ 1,550

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

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Mcfly ⭐ 355

A deep learning tool for time series classification and regression

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Lares ⭐ 227

R Library for Analytics and Machine Learning

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Atmseer ⭐ 163

Visual Exploration of Automated Machine Learning with ATMSeer

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Atom ⭐ 137

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Pipelinevis ⭐ 79

Pipeline Profiler is a tool for visualizing machine learning pipelines generated by AutoML tools.

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Xautoml ⭐ 31

XAutoML: A Visual Analytics Tool for Understanding and Validating Automated Machine Learning

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Automl Gs Examples ⭐ 12

Examples + Visualizations of datasets modeled using automl-gs

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