graphic-walker
pygwalker
| graphic-walker | pygwalker | |
|---|---|---|
| 20 | 22 | |
| 2,243 | 9,822 | |
| 2.1% | 4.1% | |
| 9.4 | 9.6 | |
| 5 days ago | 6 days ago | |
| TypeScript | Python | |
| Apache License 2.0 | 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.
graphic-walker
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Show HN: Open-source, browser-local data exploration using DuckDB-WASM and PRQL
[2] https://github.com/Kanaries/graphic-walker/issues/330
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Show HN: GPT and tableau-style interface in R for data visualization
GWalkR is an open-source R library that allows you to turn your data frame into a tableau style user interface for data exploration and visualization. It also allows you to analysis your data with natural language questions.
GWalkR is the R binding of graphic-walker: https://github.com/Kanaries/graphic-walker
- FLaNK Stack for 4th of July
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Observable Plot: The JavaScript library for exploratory data visualization
Big fan of D3.js and now there is Observable Plot! I am building several data visualization software for exploratory data analysis:
RATH, auto exploratory data analysis: https://github.com/Kanaries/Rath
GraphicWalker, embeddable data exploration component: https://github.com/Kanaries/graphic-walker
They are using vega-lite for now. But there is a limit of building more fancy and customized visualizations. It seems Plot has a more flexible layer based visualization system that can support larger design space.
Is Plot stable enough now to migrate from vega-lite based system to Plot based? Are there any large milestone or roadmap of Plot in future?
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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.
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Hey /r/SQL! I created a tool for data analysts to save time and visualize data using DuckDB - looking for feedback
I know you said you *dont* want a tableau like interface, but in case you do this might be a cool open source project to check out: https://github.com/Kanaries/graphic-walker
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Show HN: Turn Your Pandas Dataframe to a Tableau-Style UI for Visual Analysis
> it seems like the heavy lifting is done by the web app here: https://github.com/Kanaries/graphic-walker
FWIW, both are made by the same entity, Kanaries.
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Tools for Integrating Interactive Dashboards on a Website without Licensing Problems?
You may try to use and modify based on the OpenSource Graphic Walker: https://github.com/Kanaries/graphic-walker
- Easier Data Visualization & Exploration in React: Graphic Walker
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Graphic Walker, A Different Type of Open Source Tableau Alternative
Graphic Walker is designed to be easy to embed in other applications as a React component. Check out the code here: https://github.com/Kanaries/graphic-walker
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?
Rath - Next generation of automated data exploratory analysis and visualization platform.
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
superset - Apache Superset is a Data Visualization and Data Exploration Platform
streamlit - Streamlit — A faster way to build and share data apps.
RasgoQL - Write python locally, execute SQL in your data warehouse
vega-embed - Publish Vega visualizations as embedded web components with interactive parameters.
devpod - Codespaces but open-source, client-only and unopinionated: Works with any IDE and lets you use any cloud, kubernetes or just localhost docker.
pivottable - Open-source Javascript Pivot Table (aka Pivot Grid, Pivot Chart, Cross-Tab) implementation with drag'n'drop.
ai - Build AI-powered applications with React, Svelte, Vue, and Solid
vega-lite - A concise grammar of interactive graphics, built on Vega.
pyecharts - 🎨 Python Echarts Plotting Library