pygwalker
pyecharts
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| pygwalker | pyecharts | |
|---|---|---|
| 22 | 2 | |
| 9,759 | 14,448 | |
| 8.4% | 1.1% | |
| 9.6 | 6.6 | |
| 11 days ago | about 1 month ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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.
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
pyecharts
-
Top 10 growing data visualization libraries in Python in 2023
Github: https://github.com/pyecharts/pyecharts
-
Free Price Comparison Tool For Craft Beers
In case you're wondering, the UI is built using pywebio while the charts are made using pyecharts. (As you can tell Frontend isn't my strongest suit).
What are some alternatives?
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
PyWebIO - Write interactive web app in script way.
Rath - Next generation of automated data exploratory analysis and visualization platform.
Flask - The Python micro framework for building web applications.
graphic-walker - An open source alternative to Tableau. Embeddable visual analytic
Django - The Web framework for perfectionists with deadlines.
RasgoQL - Write python locally, execute SQL in your data warehouse
TheAlgorithms - All Algorithms implemented in Python
devpod - Codespaces but open-source, client-only and unopinionated: Works with any IDE and lets you use any cloud, kubernetes or just localhost docker.
thefuck - Magnificent app which corrects your previous console command.
ai - Build AI-powered applications with React, Svelte, Vue, and Solid
matplotlib - matplotlib: plotting with Python