Changes in version 0.2.2 (2026-09-02)                  

Current release: August 2026

Maintenance

  - Replaced relative README links with stable GitHub URLs for CRAN
    checks.

                        Changes in version 0.2.1                        

Current release: August 2026

Maintenance

  - Fixed CRAN DESCRIPTION wording by quoting the software name
    'ggplot2'.
  - Compressed the package logo without changing its dimensions.

                        Changes in version 0.2.0                        

Current release: August 2026

New features

  - Redesigned palette storage and validation around the JSON palette
    contract.
  - Added palette_info() for inspecting one palette's metadata and
    colors.
  - Added scale_color_biopalette() and scale_fill_biopalette() for
    discrete ggplot2 scales.
  - Added scale_color_biopalette_gradient() and
    scale_fill_biopalette_gradient() for sequential and diverging
    gradients.
  - Expanded the test suite across palette storage, color conversion,
    plotting, scales, and startup behavior.

Palettes

  - Added mitonuclear_blue and mitonuclear_orange — sequential palettes
    inspired by mito-nuclear communication research (TIBS, 2022).
  - Added heat_light — qualitative, 2 colors, from a bond ampholysis
    illustration (Nature, 2024).
  - Added tam_pastel — qualitative, 6 colors, from the pan-cancer
    myeloid atlas (Cell, 2021).
  - Added cancer_mosaic — qualitative, 15 colors, from the pan-cancer
    myeloid atlas (Cell, 2021).
  - Added lactate_steps — qualitative, 5 colors, from lactate metabolism
    and immunotherapy research (JECCR, 2024).
  - Added bcell_atlas — qualitative, 7 colors, from a pan-cancer B-cell
    atlas graphical abstract (Cell, 2024).
  - Added bcell_atlas2 — diverging, 5 colors, encoding the IgA-to-IgG
    shift in the same source article.
  - Added bcell_clusters — qualitative, 20 colors, reconstructed from
    Figure 1B of the same pan-cancer B-cell atlas; the published order
    puts broadly useful major-group colors first.
  - Added source images, curation records, previews, and showcase
    figures for the new palettes.

Documentation and integrations

  - Reworked the English and Chinese guides around qualitative,
    sequential, and diverging use cases.
  - Added a Tessera workflow vignette and linked biopalette to Tessera
    and Palette Lab.
  - Expanded README and pkgdown palette tables with recommended use
    cases and figure showcases.
  - Updated palette curation templates and source records for the
    image-inspired collection.

Maintenance

  - Aligned package, coverage, and build configuration with the
    redesigned palette storage model.

                        Changes in version 0.1.0                        

Initial release: April 2026

The initial release established the package API for retrieving,
previewing, organizing, and applying image-inspired color palettes in
biomedical visualization.

Core functionality

  - get_palette() — retrieve colors by name, type, and size.
  - list_palettes() — inspect the bundled palette collection.
  - palette_gallery() — render a paged visual gallery.
  - preview_palette() — draw palette swatches in several styles.
  - create_palette() and remove_palette() — manage palette JSON files.
  - hex2rgb() and rgb2hex() — convert HEX and RGB color values.

Initial palette collection

  - gene_red — qualitative, 2 colors, inspired by Better Call Saul.
  - walter_white, walter_white2, and walter_white3 — qualitative and
    diverging palettes inspired by Breaking Bad.
  - babel — qualitative, 21 colors, from a pan-cancer myeloid atlas
    (Cell, 2021).
  - three_body — qualitative, 3 colors, from the same myeloid atlas.