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Comparison · Analytics

gghighlight vs tbrf

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

Shared themes:r-package

gghighlight vs tbrf: at a glance

Featuregghighlighttbrf
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesggplot2, data-visualisation, ggplot-extension, upstream-compatrolling-statistics, water-quality, time-series, environmental-data
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is gghighlight?

A single-purpose ggplot2 extension that has spent six years tracking ggplot2 instead of growing.

gghighlight adds one verb to ggplot2: highlight the series matching a predicate and grey out the rest, with unhighlighted_params controlling how the shadowed layer renders and calculate_per_facet deciding whether the predicate evaluates within facets. The API settled at 0.2.0; the 0.5.0 release supports ggplot2 v4.0 including its ink and paper theme elements, and finally deletes gghighlight_point() and gghighlight_line().

Read the full gghighlight trajectory →

What is tbrf?

Time-based rolling statistics for water-quality data, finally getting plotting and padding built in.

tbrf computes rolling statistics over time windows rather than fixed row counts — geometric means, confidence intervals and related summaries indexed by date. That distinction matters for irregularly sampled environmental monitoring data, where a fixed-width window spans different amounts of real time. Version 0.1.7 folds in stat_stepribbon() from ggalt, ships an Entero example dataset for lognormal workflows, and adds na.pad across the tbr_ family.

Read the full tbrf trajectory →

gghighlight vs tbrf: editorial side-by-side

G
gghighlight
ANALYTICS
0.0

A single-purpose ggplot2 extension that has spent six years tracking ggplot2 instead of growing.

◆ Current state

gghighlight adds one verb to ggplot2: highlight the series matching a predicate and grey out the rest, with unhighlighted_params controlling how the shadowed layer renders and calculate_per_facet deciding whether the predicate evaluates within facets. The API settled at 0.2.0; the 0.5.0 release supports ggplot2 v4.0 including its ink and paper theme elements, and finally deletes gghighlight_point() and gghighlight_line().

◆ Where it's heading

Two threads run through the history. One is a slow deprecation, from soft-deprecating the geom-specific functions at 0.1.0, to defunct at 0.3.0, to removed at 0.5.0 — a five-year removal cycle. The other is compatibility work: purrr 1.0.0, dplyr's across() deprecation, ggplot2 3.4.0, then 4.0. Genuine feature additions are rare and small, with line_label_type at 0.4.0 the last one. Note that 0.3.2's notes restate 0.3.1's n() item, so adjacent tags here overlap rather than each describing distinct work.

◆ Prediction

The next release most likely absorbs further ggplot2 4.x changes, given that is what triggered the last three. Nothing in the entries points to a new highlighting capability.

T
tbrf
ANALYTICS
0.0

Time-based rolling statistics for water-quality data, finally getting plotting and padding built in.

◆ Current state

tbrf computes rolling statistics over time windows rather than fixed row counts — geometric means, confidence intervals and related summaries indexed by date. That distinction matters for irregularly sampled environmental monitoring data, where a fixed-width window spans different amounts of real time. Version 0.1.7 folds in stat_stepribbon() from ggalt, ships an Entero example dataset for lognormal workflows, and adds na.pad across the tbr_ family.

◆ Where it's heading

The package spent its middle releases absorbing upstream breakage — a lubridate duration redefinition, a tibble 3.0.0 subassignment change, tidyselect internals. The 0.1.7 release breaks that pattern: it is the first in five years to add capability rather than repair it, and it does so by internalising a stat from an abandoned dependency instead of relying on it. Cadence remains very low, with a five-year gap between 0.1.5 and 0.1.6.

◆ Prediction

Absorbing stat_stepribbon() directly suggests further vendoring of the plotting layer rather than new statistical functions. The entries do not indicate which rolling statistics, if any, are queued next.

Alternatives to gghighlight and tbrf

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 gghighlight or tbrf.

See all gghighlight alternatives → · See all tbrf alternatives →

Recent activity from gghighlight and tbrf

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

  1. 0y agotbrfstat_stepribbon vendored in, plus na.pad on all rolling functions
  2. 1y agogghighlightggplot2 v4.0 support; geom-specific functions removed
  3. 1y agotbrfgm_mean_ci forwards na.rm and zero.propagate correctly
  4. 2y agogghighlightTest expectations updated for upcoming ggplot2
  5. 3y agogghighlightline_label_type adds geomtextpath and second-axis labelling
  6. 4y agogghighlightDeprecated dplyr::across() usage removed
  7. 5y agogghighlightExplicit NULL in unhighlighted_params preserved; aesthetic name clash fixed
  8. 5y agogghighlightDiscrete-scale labels and n() predicates
  9. 6y agotbrfFix internals broken by tibble 3.0.0 subassignment
  10. 6y agotbrfDate windows recomputed with intervals and periods

Frequently asked questions

What is the difference between gghighlight and tbrf?

Both compete on the same themes — r-package — within Analytics. gghighlight and tbrf 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 gghighlight better than tbrf?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. gghighlight and tbrf 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 gghighlight?

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

What are the best alternatives to tbrf?

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