hyper-api-samples
pygwalker
| hyper-api-samples | pygwalker | |
|---|---|---|
| 7 | 22 | |
| 127 | 9,822 | |
| 1.6% | 4.1% | |
| 3.9 | 9.6 | |
| 8 months ago | 7 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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.
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?
pygwalker
- Show HN: Use an "eraser" to clean data on flight without breaking your workflow
- Show HN: Data Painter – different way to interact with data in Jupyter notebook
- PyGWalker: a Python library for data engineer that turns your dataframe into tableau-like data app.
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Top 10 growing data visualization libraries in Python in 2023
The most popular data visualization python library in 2023. It turns your dataframe into an interactive data exploration app like tableau/powerBI with one line of code. It provides simple drag-and-drop/chat interface for you to build charts. It can run in juypter notebook, which means you do not need to switch between your code and the visualization app. Besides, you can also build interactive spitial visualization on maps with it. And it also has Javascript and R version.
- Boost pygwalker's speed for visual analysis with duckDB
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Turn your data frame into a tableau-style interactive visualization interface in R
GWalkR is the R binding of Graphic-Walker, if you want to use it in python, check the python version: PyGWalker: https://github.com/Kanaries/pygwalker
- FLaNK Stack Weekly on 26 June 2023
- A blocky based CAD program
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Show HN: RATH – Open-Source Copilot and Autopilot for Data Analysis
+ Graphic Walker (https://github.com/Kanaries/graphic-walker): A lite embeddable component for visual analysis.
+ PyGWalker (https://github.com/Kanaries/pygwalker): turning your pandas dataframe into a Tableau-style User Interface for visual exploration.
RATH is a collection of interesting ideas that we think the next generation of data analysis software should be, so there might be many features that not well organized to be a united app. Tell me which feature you prefer and which is not. Looking forward for your ideas and advice.
- Converting a huge CSV file into a custom made table
What are some alternatives?
react-datasheet - Excel-like data grid (table) component for React
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
AutoViz - Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Rath - Next generation of automated data exploratory analysis and visualization platform.
TabPy - Execute Python code on the fly and display results in Tableau visualizations:
graphic-walker - An open source alternative to Tableau. Embeddable visual analytic
RasgoQL - Write python locally, execute SQL in your data warehouse
devpod - Codespaces but open-source, client-only and unopinionated: Works with any IDE and lets you use any cloud, kubernetes or just localhost docker.
ai - Build AI-powered applications with React, Svelte, Vue, and Solid
pyecharts - 🎨 Python Echarts Plotting Library
Dask - Parallel computing with task scheduling
block-cad-desktop