tern.rbmi
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
Comparison · Analytics
bittermelon vs errors
A side-by-side editorial comparison of bittermelon and errors — release velocity, themes, recent moves, and the top alternatives to consider.
bittermelon vs errors: at a glance
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.
What is errors?
errors keeps making uncertainty print the way each scientific field expects.
errors attaches uncertainty to numeric vectors and propagates it automatically through arithmetic, as part of the r-quantities family alongside units. The propagation core is settled; recent releases concentrate on presentation and integration — PDG rounding rules in 0.4.2, decimal support in parenthesis notation in 0.4.3, and ggplot2 deprecation tracking in 0.4.1 and 0.4.4.
bittermelon vs errors: editorial side-by-side
bittermelon
0.0ANALYTICS
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.
errors
0.0ANALYTICS
errors keeps making uncertainty print the way each scientific field expects.
◆ Current state
errors attaches uncertainty to numeric vectors and propagates it automatically through arithmetic, as part of the r-quantities family alongside units. The propagation core is settled; recent releases concentrate on presentation and integration — PDG rounding rules in 0.4.2, decimal support in parenthesis notation in 0.4.3, and ggplot2 deprecation tracking in 0.4.1 and 0.4.4.
◆ Where it's heading
Two threads run through this history. One is formatting convergence: uncertainty has field-specific conventions, and the package has been absorbing them one contributed pull request at a time rather than imposing a single style. The other is keeping the errors class first-class everywhere R users work — vctrs methods for dplyr 1.0, a geom_errors() layer for ggplot2, missing-value and duplicate handling. Both are integration work, which is what a type-extension package mostly is.
◆ Prediction
Expect further formatting conventions to arrive as contributions, following PDG rounding and the decimals option, plus continued upkeep against ggplot2 aesthetic deprecations that have forced two of the last four releases.
Alternatives to bittermelon and errors
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 errors.
tern.mmrm
An MMRM tabulation package that has published nothing since its 2024 CRAN releases.
ggmagnify
A single-purpose ggplot2 inset tool, refining the same three arguments.
symengine
An R symbolic-maths binding whose changelog is really the C++ core's release notes.
gtfstools
gtfstools stopped guarding its own object model and started accepting everyone else's.
quantities
The glue package that makes R carry units and uncertainty through the same calculation.
See all bittermelon alternatives → · See all errors alternatives →
Recent activity from bittermelon and errors
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 4mo agobittermelonGreyscale font reading arrives; color glyphs no longer clamp silently
- 6mo agobittermelonBitmap extraction and a supported-format predicate
- 1y agoerrorserrors 0.4.4 replaces deprecated geom_errorbarh()
- 1y agoerrorserrors 0.4.3 supports decimals in parenthesis notation
- 1y agobittermelonData frame coercion and an interactive pixel picker
- 2y agoerrorserrors 0.4.2 adds PDG rounding rules
- 2y agobittermelonEmbedded monobit removed; broader format support now needs a manual install
- 2y agobittermelonCombining-character test fixed after a Unicode package change
- 2y agoerrorserrors 0.4.1 handles missing values, fixes na.rm
- 3y agobittermelonHex fonts can be read selectively by code point
- 3y agoerrorserrors 0.4.0 adds geom_errors() for automatic errorbars
- 5y agoerrorserrors 0.3.6
Frequently asked questions
What is the difference between bittermelon and errors?
They serve adjacent needs but don't currently overlap on shipped themes. bittermelon and errors 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 errors?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. bittermelon and errors 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 errors?
Top errors alternatives in Analytics are ranked by recent ship velocity. Browse the "errors alternatives" section above for the current picks, or visit /alternatives/errors-r for the full list with editorial commentary on each.