I'm exploring visualization libraries for Jupyter notebooks. I've used Plotly Express in the past while working with Polars datasets, but I'm curious about other options that might be visually appealing and fun to use. Additionally, how can I turn these queries or charts into interactive dashboards, or expose some tailored visualizations through a web server?
5 Answers
If you're aiming for interactive visualizations, Plotly is one of the best out there. However, you might also want to look into Altair and Marimo for some alternatives that are worth trying out.
Matplotlib still holds up for detailed customization, but it's a bit of a learning curve. If you need a straightforward way to create dashboards, Dash by Plotly is a fantastic option.
Don't overlook Seaborn! It's a nice abstraction over Matplotlib and can make some beautiful visualizations.
Plotly is definitely a solid choice! It's got great features and interactivity that really stand out.
I recommend checking out hvPlot and Panel for visualizations and dashboarding. They were created with notebooks in mind, and you can make some modern-looking visuals easily!
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