What python library you are using for interactive visualisation?(other than plotly)

1. Highcharts JS

   1 47 12,249 10.0 TypeScript

   Highcharts JS, the JavaScript charting framework

   

   Yep, the JS package is owned and maintained by Highsoft (www.highcharts.com), while the Python package is owned and maintained by one of my companies (HCP LLC). I’ve partnered with Highsoft, which means that you can get both the JS libraries and the Python package (which is a paid add-on for commercial use) from them ( https://shop.highcharts.com ).

2. InfluxDB

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   InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

   

3. Altair

   2 46 9,766 9.1 Python

   Declarative visualization library for Python

   

4. bqplot

   3 2 3,654 4.8 TypeScript

   Plotting library for IPython/Jupyter notebooks

   

   didn't see anyone mention bqplot https://github.com/bqplot/bqplot

5. highcharts-core

   4 2 58 8.1 Python

   Python wrapper for the Highcharts Core JavaScript library

   

   Feel free to check out the GitHub repos at https://github.com/highcharts-for-python . Each of the Highcharts (JS) libraries has a Python analog, so you’ll find Highcharts Core for Python (https://github.com/highcharts-for-python/highcharts-core ), Highcharts Stock for Python, etc.

6. panel

   5 40 5,204 9.8 Python

   Panel: The powerful data exploration & web app framework for Python (by holoviz)

   

   https://panel.holoviz.org/ It's a web app framework for Python similar to what Dash does for plotly. It plays nicely with bokeh visuals and I think the front-end is built using bokeh css elements.

7. SaaSHub

   www.saashub.com featured

   SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

   

Suggest a related project