← Back to home
Comparison · Analytics

bittermelon vs hstats

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

bittermelon vs hstats: at a glance

Featurebittermelonhstats
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr-package, bitmap-fonts, greyscale, typographyinteraction statistics, partial dependence, model explainability, r package
Last editorial update51m 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 hstats?

hstats settled into maintenance after its 1.0 restructuring, with model coverage the only thing still growing.

hstats computes Friedman's H-statistics, partial dependence, ICE curves and permutation importance for any model exposing a prediction function. The releases in view are consolidation: performance work on plain data.frames, ICE facetting for multioutput models, ranger survival support, and a ggplot 4.0 compatibility pass in 2025. The package moved to the ModelOriented organisation in 1.2.0.

Read the full hstats trajectory →

bittermelon vs hstats: 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.

H
hstats
ANALYTICS
0.0

hstats settled into maintenance after its 1.0 restructuring, with model coverage the only thing still growing.

◆ Current state

hstats computes Friedman's H-statistics, partial dependence, ICE curves and permutation importance for any model exposing a prediction function. The releases in view are consolidation: performance work on plain data.frames, ICE facetting for multioutput models, ranger survival support, and a ggplot 4.0 compatibility pass in 2025. The package moved to the ModelOriented organisation in 1.2.0.

◆ Where it's heading

The structural work — the hstats_matrix object, quantile approximation, revised plotting — landed in 1.0.0 just outside this window, and nothing since has changed the package's shape. What continues is model-coverage plumbing: mlr3 classification modes, ranger survival behind a survival argument, and factor predictions added in 1.1.0 then removed again in 1.2.0. The most recent releases are compatibility-driven, tracking ggplot2 rather than the interaction statistics.

◆ Prediction

Expect the next release to be another dependency-compatibility pass or a new model backend working out of the box, rather than new interaction statistics.

Alternatives to bittermelon and hstats

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 hstats.

See all bittermelon alternatives → · See all hstats alternatives →

Recent activity from bittermelon and hstats

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

  1. 4mo agobittermelonGreyscale font reading arrives; color glyphs no longer clamp silently
  2. 6mo agobittermelonBitmap extraction and a supported-format predicate
  3. 10mo agohstatsggplot 4.0 compatibility and test coverage
  4. 1y agobittermelonData frame coercion and an interactive pixel picker
  5. 1y agohstatsranger survival models supported out of the box
  6. 2y agohstatsMoves to ModelOriented; factor predictions removed
  7. 2y agobittermelonEmbedded monobit removed; broader format support now needs a manual install
  8. 2y agohstatsICE facets for multioutput models; mlr3 fixes
  9. 2y agobittermelonCombining-character test fixed after a Unicode package change
  10. 2y agohstatsFaster data.frame paths; NaN H-statistics fixed
  11. 2y agohstatsFactor predictions and line-style 2D partial dependence
  12. 3y agobittermelonHex fonts can be read selectively by code point

Frequently asked questions

What is the difference between bittermelon and hstats?

They serve adjacent needs but don't currently overlap on shipped themes. bittermelon and hstats are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is bittermelon better than hstats?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. bittermelon and hstats are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). 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 hstats?

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