Free Heatmap Generator

A scientific heatmap encodes numerical values in a two-dimensional matrix as colors along a gradient — typically from a cool color for low values to a warm color for high values. It reveals patterns across rows and columns at a glance, making it the standard figure type for correlation matrices, expression profiles, spectral maps, and spatial concentration data in research.

Upload a numeric matrix with row and column labels. Choose row or column normalization and row, column or combined clustering in SciFig DataChart, then generate the heatmap with the scale settings you provide.

Sequential scales (single-hue gradient, e.g., white to dark blue) suit data with a natural zero, such as concentration or count data. Diverging scales (e.g., blue–white–red) are appropriate for data centered on zero, such as correlation coefficients or log-fold-changes. SciFig's heatmap generator supports both and applies the appropriate scale based on your data type.

A website traffic heatmap visualizes click or scroll density on a webpage and is used in UX and marketing analysis. A scientific heatmap visualizes structured numerical data — a matrix of measurements — and is used in data analysis, omics research, ecology, and physics. SciFig's heatmap generator is built specifically for scientific data visualization, not web analytics.

Yes. Supply a numeric expression matrix or an already computed correlation matrix with row and column labels. For correlations from paired measurements, choose the correlation chart. Select normalization, color scale and clustering options in SciFig DataChart.

Once your heatmap is finalized, export it as a high-resolution image ready for submission. SciFig produces heatmap figures that meet the resolution, color, and labeling standards of leading life science, environmental science, and data science journals. Add a color bar legend, axis labels, and a title before exporting.