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bittermelon vs ggsci

A side-by-side editorial comparison of bittermelon and ggsci — release velocity, themes, recent moves, and the top alternatives to consider.

bittermelon vs ggsci: at a glance

Featurebittermelonggsci
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesr-package, bitmap-fonts, greyscale, typographycolor palettes, ggplot2, r, data visualization
Last editorial update1h ago5h ago
WebsiteVisit →Visit →

What is bittermelon?

bittermelon is growing from binary bitmaps toward greyscale and color glyphs

The package manipulates bitmap fonts and bitmaps in R, and the recent direction is widening what a glyph can be. v2.3.1 adds greyscale font support by reading the experimental yaff levels property into pixmap glyphs with alpha derived from the level fraction, and makes writing a multi-colored glyph an error rather than silently clamping it. Earlier releases built out the same surface: bm_extract(), an interactive pixel picker, data frame coercion, and format support for other packages' bitmap types.

Read the full bittermelon trajectory →

What is ggsci?

ggsci quietly became a palette mirror, then taught itself to generate colors on demand

ggsci ships ready-made ggplot2 color scales, originally journal and sci-fi palettes and now overwhelmingly terminal themes — the iTerm collection has grown past 400 entries and picks up 30 to 70 more with each sync. The one structural change in the recent run is gephi_palettes(), which generates distinct categorical colors for an arbitrary number of levels rather than serving a fixed list. Release cadence is steady, roughly every six to eight weeks.

Read the full ggsci trajectory →

bittermelon vs ggsci: editorial side-by-side

B
bittermelon
ANALYTICS
0.0

bittermelon is growing from binary bitmaps toward greyscale and color glyphs

◆ Current state

The package manipulates bitmap fonts and bitmaps in R, and the recent direction is widening what a glyph can be. v2.3.1 adds greyscale font support by reading the experimental yaff levels property into pixmap glyphs with alpha derived from the level fraction, and makes writing a multi-colored glyph an error rather than silently clamping it. Earlier releases built out the same surface: bm_extract(), an interactive pixel picker, data frame coercion, and format support for other packages' bitmap types.

◆ Where it's heading

Two things are converging. The representation is moving beyond one-bit glyphs — pixmaps, color, and now greyscale levels with transparency — while the API gets stricter about the boundary between them, refusing to quietly downcast a color glyph on write. Separately, the package has been shedding weight: the embedded monobit copy was removed once it outgrew CRAN size limits, pushing format breadth onto a user-installed dependency.

◆ Prediction

Expect further greyscale and color work now that levels parsing exists — most likely writing that format rather than only reading it, since the write path is where the current release chose to draw a hard error instead.

G
ggsci
ANALYTICS
2.5

ggsci quietly became a palette mirror, then taught itself to generate colors on demand

◆ Current state

ggsci ships ready-made ggplot2 color scales, originally journal and sci-fi palettes and now overwhelmingly terminal themes — the iTerm collection has grown past 400 entries and picks up 30 to 70 more with each sync. The one structural change in the recent run is gephi_palettes(), which generates distinct categorical colors for an arbitrary number of levels rather than serving a fixed list. Release cadence is steady, roughly every six to eight weeks.

◆ Where it's heading

Two threads run in parallel. The larger one is curation: ggsci has effectively become a distribution channel for upstream color work, adding design-system palettes (Primer, Atlassian, Bootstrap, Tailwind) and re-syncing iTerm as that project changes, including correcting existing color values when upstream moves. The smaller and more interesting one is generation — the Gephi engine sidesteps the ceiling every fixed palette has, which is what happens when a plot needs more categories than any curated set provides.

◆ Prediction

Given how much of the release notes each cycle is a mechanical upstream sync, the plausible next step is automating those syncs rather than adding another vendor palette by hand; the Gephi generator is the more likely place any genuinely new capability appears.

Alternatives to bittermelon and ggsci

Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either bittermelon or ggsci.

See all bittermelon alternatives → · See all ggsci alternatives →

Recent activity from bittermelon and ggsci

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 15d agoggsciggsci 5.2.0
  2. 1mo agoggsciggsci 5.1.0
  3. 4mo agoggsciggsci 5.0.0 generates categorical colors instead of serving a fixed list
  4. 4mo agoggsciggsci 4.3.0
  5. 4mo agobittermelonGreyscale font reading arrives; color glyphs no longer clamp silently
  6. 6mo agobittermelonBitmap extraction and a supported-format predicate
  7. 8mo agoggsciggsci 4.2.0
  8. 9mo agoggsciggsci 4.1.0
  9. 1y agobittermelonData frame coercion and an interactive pixel picker
  10. 2y agobittermelonEmbedded monobit removed; broader format support now needs a manual install
  11. 2y agobittermelonCombining-character test fixed after a Unicode package change
  12. 3y agobittermelonHex fonts can be read selectively by code point

Frequently asked questions

What is the difference between bittermelon and ggsci?

They serve adjacent needs but don't currently overlap on shipped themes. ggsci is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is bittermelon better than ggsci?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggsci is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to bittermelon?

Top bittermelon alternatives in Analytics are ranked by recent ship velocity. Browse the "bittermelon alternatives" section above for the current picks, or visit /alternatives/bittermelon-r for the full list with editorial commentary on each.

What are the best alternatives to ggsci?

Top ggsci alternatives in Analytics are ranked by recent ship velocity. Browse the "ggsci alternatives" section above for the current picks, or visit /alternatives/ggsci for the full list with editorial commentary on each.