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What Grafana version and what operating system are you using?
8.5
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What are you trying to achieve?
Display an image in a table
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How are you trying to achieve it?
Providing a valid Base64 image to the cell
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What happened?
No image is displayed
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What did you expect to happen?
An image to be displayed
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Can you copy/paste the configuration(s) that you are having problems with?
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Did you receive any errors in the Grafana UI or in related logs? If so, please tell us exactly what they were.
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Did you follow any online instructions? If so, what is the URL?
Table | Grafana documentation
According to the Grafana docs, it should be possible to display a base64 image. But it’s not. I know my image works, because I can save it to a text file and view it in a web browser. There have been many, many posts and questions about how to make images work, but never any answers (except using plugins, which won’t do what I want to do).
I just want to show a table with a time, a measurement, and a small image.
Thanks.
welcome to the 
community @mullenba!
Does your datasource return a field that contains the base64 image or URL? If it does, you should be able to add an override property for that field and change the cell display mode to image:
The field contains a base64 image. If I copy the value into a text file, it shows an image in a browser. I’ve tried changing the cell display mode to image, but it doesn’t have any effect.
@mullenba I was able to get this working in our TestData DB datasource using plain CSV formatting for testing and with the help of the suggestion in this post which suggested prefixing the base64 encoded data with data:image/png;base64,
I tested this out with an image png I found online and encoded. Here’s the exact CSV input I used if you want to give it a try:
column1,image
data1,"data:image/png;base64, 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data2,"data:image/png;base64, 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