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This is going to change Data Analytics! A Dashboard UI inside the Jupyter Notebook which makes Visualizing Easy! Using just one line of code and is easy to deploy as well!
92,200 Aufrufe • vor 2 Jahren •via X (Twitter)
10 Kommentare

PyGWalker turns your data into interactive visualization apps with one line of code, enabling you to share your apps with one click. The Data Painter feature allows you to clean your data with an "eraser", you can remove outliers, clusters, and complex patterns within seconds. This is personally one of my favorite feature

Create new variables/labels/features in your data without breaking your analysis workflow. Data Painter allows you to create new features for your analytical views in real time. And it’s incredibly easy to get started!

Use the open-source PyGWalker library for free to turn your data into an embeddable visual exploration interface. Boost your PyGWalker with PyGWalker Cloud (Pro) to turn your visualizations into interactive web apps and share them with others.

Stay tuned as I'm going to build and deploy a cool app using PygWalker and Streamlit!

oh that is cool meet sheet also does that

mito provides a spreadsheet UI! I have used it but not sure whether it provides a Dashboard UI!

Pretty cool 👏

Indeed! I have build apps with it and it is indeed very cool!

What!? This is amazing! Definitely need to try this one out and thank you for sharing this.

Do give it a try! Pretty cool if you ask me!

