AutoViz VS hyper-api-samples

Compare AutoViz vs hyper-api-samples 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)
Visualization Python3 Python Xgboost Automl scikit-learn Machine Learning tableau automl-algorithms tpot auto-sklearn automated-machine-learning
Source Code
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hyper-api-samples

Sample code to get started with the Hyper API. (by tableau)
tableau Hyper hyperapi
Source Code
help.tableau.com
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AutoViz hyper-api-samples
2 7
1,621 127
- 2.4%
7.7 3.9
29 days ago 8 months ago
Python Python
Apache License 2.0 MIT License
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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.

hyper-api-samples

Posts with mentions or reviews of hyper-api-samples. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-16.
  • parquet to hyper
    1 project | /r/Python | 28 Jul 2022
    1 project | /r/learnprogramming | 23 Jul 2022
  • how screwed am I?
    2 projects | /r/tableau | 16 Mar 2022
    Forget TabPy - if you have Python that creates CSV you're almost there - check the Hyper API (https://help.tableau.com/current/api/hyper_api/en-us/index.html) and the Tableau Server Client (https://github.com/tableau/hyper-api-samples/tree/main/Community-Supported/publish-hyper) and you can publish your Python data directly to Tableau Online as a published data source and then use that to develop workbooks :)
  • Tableau Desktop Dashboard extract refresh and email using python
    1 project | /r/tableau | 7 Feb 2022
    Sorry, I didn't see Desktop in your title... I think you can accomplish the extract refresh locally using the Hyper API: https://help.tableau.com/current/api/hyper_api/en-us/index.html
  • Do you need to use Tableau Prep to prepare data for Tableau
    1 project | /r/tableau | 12 Nov 2021
  • Tableau within Databricks
    1 project | /r/tableau | 13 May 2021
    I am trying to follow the https://github.com/tableau/hyper-api-samples/tree/main/Community-Supported/publish-multi-table-hyper mentioned here but within Azure Databricks. Unfortunately the swapping of hyper files is failing. Does anyone know how resolve it?

What are some alternatives?

When comparing AutoViz and hyper-api-samples 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

react-datasheet - Excel-like data grid (table) component for React

autokeras - AutoML library for deep learning

TabPy - Execute Python code on the fly and display results in Tableau visualizations:

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

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

sapientml - Generative AutoML for Tabular Data

dtale - Visualizer for pandas data structures

Rating-Correlations - Predicts chess960 or crazyhouse ratings given bullet or blitz and others for either Lichess.org or Chess.com servers.

dataexplorer

vizex - Visualize disk space and disk usage in your UNIX\Linux terminal

AutoViz vs mljar-supervised hyper-api-samples vs react-datasheet AutoViz vs autokeras hyper-api-samples vs TabPy AutoViz vs Auto_ViML AutoViz vs Hyperactive AutoViz vs sapientml AutoViz vs dtale AutoViz vs Rating-Correlations AutoViz vs TabPy AutoViz vs dataexplorer AutoViz vs vizex