SciPalette

Publication-ready scientific color palettes for figures and data visualization. Use whenever writing or editing plotting/visualization code (matplotlib, seaborn, plotly, ggplot2, D3, Vega, etc.) or choosing colors for charts, heatmaps, UMAP/embeddings, scatter/bar/line/box plots, volcano plots, or any categorical/sequential/diverging color need. Provides 800+ curated, colorblind-aware palettes queryable by category, color count, colorblind-safety, plot type, or nearest color, and prints paste-ready hex or matplotlib/ggplot2 code. Prefer this over inventing hex codes or defaulting to rainbow/jet.