Visualize hierarchical relationships and phylogenetic trees. Plotivy handles distance calculations, linkage methods, and tree rendering automatically.
Calculating distance matrices (Euclidean, Manhattan, Cosine) and choosing linkage methods (Single, Complete, Average) is complex.
Coloring branches based on a specific cut threshold or number of clusters in Python/scipy requires tedious coding.
Getting leaf labels to align perfectly, especially with large datasets, is a constant struggle in standard tools.
Upload your data matrix or distance matrix.
"Create a dendrogram using Ward linkage. Color branches for 3 clusters."
Download a high-resolution image or vector graphic.
✨ Plotivy AI uses scipy.cluster.hierarchy to generate accurate dendrograms.
Choose from top-down, left-to-right, right-to-left, or bottom-up orientations to fit your figure layout.
Automatically color branches based on a distance threshold or a specified number of clusters (k).
For large datasets, condense the tree to show only the top levels or last p merged clusters.
Easily combine your dendrogram with a heatmap to show the data values associated with the clustering.