AutoViz
hyper-api-samples
AutoViz | hyper-api-samples | |
---|---|---|
2 | 7 | |
1,621 | 127 | |
- | 1.6% | |
7.7 | 3.9 | |
29 days ago | 8 months ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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AutoViz
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I need help lol
AutoViz: A Python library that automatically visualizes any dataset in just one line of code.
- AutoViz: Automatically visualize any dataset, any size with one line of code
hyper-api-samples
- parquet to hyper
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how screwed am I?
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 :)
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Tableau Desktop Dashboard extract refresh and email using python
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
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Tableau within Databricks
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?
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