Plotly Indicator Gauge Demo

Plotly Indicator Gauge Demo - View App

Hello everyone! I recently completed my first Streamlit application and wanted to share with the community.

The application is a demonstration for adding indicator gauge visualizations to Streamlit applications using a custom function built using Plotly. Code is included in the app documentation, for anyone who would like to give it a try.

Thank you for reading. Enjoy!

Stream_Gauge_GIF

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The Plotly Indicator Gauge is now available for download from the Python Package Index!

PyPI version

streamviz on GitHub

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Sorry for the delay in responding back to your message. Thank you for the feedback.
I appreciate it. :smile: :pray: Were you able to find a solution? Please don’t hesitate to reach out if there is anything I can help with.

Thanks again and have a good day!

No worries. Yeah, I found a solution. I was asking about reducing the space between gauges vertically. I had them sized small and there was a big gap. I ended up rearranging my page and just sized them to large to take up the extra gap.

Really like this add on, thanks for it!

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Awesome. I’m glad that everything is working! :grinning: :+1:

And thanks again for the compliment and feedback. I do appreciate it, but Plotly deserves most of the credit, as this component wouldn’t exist without their library, which is one of the better data visualization solutions for Python. If you’re interested, there’s a lot of additional customizations for this particular gauge, along with many others available. The documentation can be accessed using the links provided below.

Good luck with your project and let me know how it turns out. Thanks again!

Gauge Charts in Python

Python Figure Reference: indicator Traces

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