This is an R/Bioconductor package for making enriched heatmaps, primarily used in epigenomics to visualize enrichment of genomic signals (e.g., histone modifications, DNA methylation) around target regions (e.g., transcription start sites). The package provides a workflow: normalize signals to a matrix via `normalizeToMatrix()`, then draw a heatmap with `EnrichedHeatmap()`, which is a subclass of ComplexHeatmap. It includes specialized annotation (`anno_enriched()`), row ordering by enrichment scores, smoothing, and support for categorical signals. The architecture leverages S3 classes (normalizedMatrix) and integrates with GenomicRanges for genomic interval operations. It is well-documented with vignettes and a pkgdown site, and includes Rcpp for performance-critical distance calculations. While the package is actively maintained, there are some signs of technical drift such as deprecated arguments and an old CI configuration.