AutoViz VS TabPy

Compare AutoViz vs TabPy and see what are their differences.

AutoViz

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

TabPy

Execute Python code on the fly and display results in Tableau visualizations: (by tableau)
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AutoViz TabPy
2 7
1,621 1,503
- 1.7%
7.7 6.9
28 days ago 4 months ago
Python Python
Apache License 2.0 MIT License
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.

AutoViz

Posts with mentions or reviews of AutoViz. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-07.

TabPy

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

What are some alternatives?

When comparing AutoViz and TabPy you can also consider the following projects:

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

Blank-Grabber - The most powerful stealer written in Python 3 and packed with a lot of features.

autokeras - AutoML library for deep learning

hyper-api-samples - Sample code to get started with the Hyper API.

Auto_ViML - Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

thefuck - Magnificent app which corrects your previous console command.

startup-kit-templates - CloudFormation templates to accelerate getting started on AWS.

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

ezdmb - A dead-simple digital menu board display and configuration, written in Python.

sapientml - Generative AutoML for Tabular Data

dtale - Visualizer for pandas data structures