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- Latest Version 1.128
- Version 1.126
- SAPUI Version 1.124
- SAPUI5 Version 1.122
- SAPUI5 Version 1.120
- SAPUI5 Version 1.118
- SAPUI5 Version 1.116
- SAPUI5 Version 1.114
- SAPUI5 Version 1.112
- SAPUI5 Version 1.110
- SAPUI5 Version 1.108
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Chart – Color Palettes
This article explains what the three chart visualization color palettes are designed to do and how you can leverage their unique properties.
Palette Overview
For color names and HEX values, see palette colors – values and names.
Rules
- Only use colors contained in the SAP Fiori chart palettes
You should only use colors from the SAP Fiori color palettes to ensure that we maintain visual design consistency across all charts used in all SAP Fiori applications. - Only use one palette per chart
Do not combine colors from different palettes in the same chart. Each palette has been carefully designed to serve a distinct purpose. - Ensure color names are referenced in the code – not HEX values!
Colors are defined by names in order to support our theming capabilities. This means that the HEX values of the colors may not be exactly the same in past, present and future SAP Fiori visual design themes. This flexibility is made possible by the fact that the color names will stay the same across all past, present and future SAP Fiori visual design themes. You can get the color names and corresponding HEX values from the article on color palettes – values and names. - Do not use color to distinguish between forecast, actual and target values
Use sematic patterns instead.
1. When only one series is displayed, the first color from the qualitative palette is automatically applied to each item.

Column chart: One series
2. When multiple series are displayed, more colors from the qualitative palette are automatically applied to each item in the predetermined sequence.

Column chart: Three series
3. Colors from the sequential palette are automatically applied to the heatmap.
The colors in the qualitative palette do not carry semantic meaning. The palette has been designed to provide visual differentiation between data points by virtue of the fact that each color is visually distinct.
Therefore, we recommend using the colors in the sequence illustrated above as opposed to using any colors simply because you prefer them.
For edge cases where you have more than 11 categories, an additional 11 colors were added. These are darker versions of the same colors.
For color names and HEX values, see palette colors – values and names.
The semantic palette is designed to communicate good, bad, critical and neutral values using three universally recognized colors in six shades. This allows you to visualize each semantic level.
For color names and HEX values, see palette colors – values and names.
Here are some ways you can use the palette:
Selecting the Correct Combination of Shades (Semantic Palette)
The semantic palette contains six shades of each color so you can express up to six levels of each semantic. Therefore, it’s important to select the correct combination of shades according to the number of levels you want to express. The table below shows you how to do this for bad – the same principle can be applied to good and critical.
The sequential color palette is designed to visualize high to low values for different measures.
Generally speaking, the lighter the shade, the lower the value. The darker the shade, the higher the value.
For color names and HEX values, see palette colors – values and names.
Here are some ways you can use the palette:
This geomap contains two measures. Shades of blue are used to visualize high and low values for one measure while shades of orange are used to visualize high and low values for the other measure.

Geomap: Multiple levels in two groups
Selecting the Correct Combination of Shades (Sequential Palette)
The sequential palette contains six shades of each color so you can express up to six different values per measure. Therefore, it’s important to select the correct combination of shades according to the number of values you need to express. The table below shows how to do this for the blue category item color – the same principle can be applied to the other colors in the palette.