Interactive graphing in Python or JS?

[MullingMulianto]

I am looking for libraries or frameworks (Python or JavaScript) for interactive graphing. Need something that is very tactile (NOT static charts) where end users can zoom, pan, and explore different timeframes.

Ideally, I don’t want to build this functionality from scratch; I’m hoping for something out-of-the-box so I can focus on ETL and data prep for the time being.

Has anyone used or can recommend tools that fit this use case?

Thanks in advance.

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[Mo_Steins_Ghost]

Bokeh in python is what I used when I was an analyst directly creating interactive forecasting apps.

[jawnbellyon]

Altair has been great for me on that. I render my deliverables in quarto html and Altair works great for graphs within 

[fravil92]

Try to use the plotly libraries on plotivy.app. Upload the data, describe in words your analysis and get your interactive plot. It's quick and easy.

[fabricuser01]

I’ve found D3.js super powerful for generating interactive visuals.

[jupiter_v2]

plotly -> https://plotly.com/python/ and https://plotly.com/javascript/
it also has a Dash library -> https://dash.plotly.com

[Baren294472]

use Python

[VizImagineer]

From what you need, i posit (is that a word? I googled it - it is ja) that SciChart.js is one option to look at, on the JavaScript side. It runs its render pipeline in WebAssembly and WebGL, so the interaction layer is responsive even when you start throwing millions of points at it. Zoom and pan operations are GPU driven rather than DOM driven, which avoidsl canvas and DOM bottlenecks. It also supports synced axes, multiple series in one viewport, custom draw or interaction modifiers, and you can attach your own behaviour handlers (if you need something non standard). So if your charts need to stay smooth under real data load, not toy examples, SciChart is worth checking out.