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e2tree vs gghighlight

A side-by-side editorial comparison of e2tree and gghighlight — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

e2tree vs gghighlight: at a glance

Featuree2treegghighlight
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesexplainable-ai, ensemble-methods, decision-trees, r-packageggplot2, data-visualisation, ggplot-extension, upstream-compat
Last editorial update6h ago1h ago
WebsiteVisit →Visit →

What is e2tree?

The explainable-ensemble-tree package now measures whether its own explanations are faithful.

e2tree builds a single interpretable tree that approximates a fitted ensemble, working from the proximity structure the ensemble induces between observations. The 1.0.0 release added the piece that had been missing: a Goodness of Interpretability index quantifying how well the approximating tree reconstructs the ensemble's own proximity matrix, with a permutation test for significance. Interactive visualisation and a C++ backend with OpenMP parallelism arrived alongside, and support now spans ranger and CatBoost as well as the original targets.

Read the full e2tree trajectory →

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 →

e2tree vs gghighlight: editorial side-by-side

E
e2tree
ANALYTICS
0.0

The explainable-ensemble-tree package now measures whether its own explanations are faithful.

◆ Current state

e2tree builds a single interpretable tree that approximates a fitted ensemble, working from the proximity structure the ensemble induces between observations. The 1.0.0 release added the piece that had been missing: a Goodness of Interpretability index quantifying how well the approximating tree reconstructs the ensemble's own proximity matrix, with a permutation test for significance. Interactive visualisation and a C++ backend with OpenMP parallelism arrived alongside, and support now spans ranger and CatBoost as well as the original targets.

◆ Where it's heading

Development has moved from producing an explanation to defending it. The GoI index and its permutation test change the package's claim from here is a tree that resembles your ensemble to here is how closely it resembles it and whether that could have happened by chance — the question a reviewer asks of any surrogate model. Around that, the work is engineering: the proximity matrix construction moved from R-level parallel loops into C++ with thread-level parallelism, and recent releases have been absorbing the awkwardness of supporting multiple ensemble backends, where a multi-class CatBoost objective returns a score matrix where a vector was expected. Interactive visNetwork output and standalone HTML export point at explanations meant to be shared rather than only inspected.

◆ Prediction

Given how much recent effort has gone into per-backend adapters, expect further work on ensemble compatibility; the entries do not indicate whether the interpretability index is heading toward comparing surrogate trees against each other.

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.

Alternatives to e2tree and gghighlight

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 e2tree or gghighlight.

See all e2tree alternatives → · See all gghighlight alternatives →

Recent activity from e2tree and gghighlight

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

  1. 3mo agoe2treeCatBoost multi-class and loss-function handling repaired
  2. 4mo agoe2treeA significance-tested measure of explanation fidelity
  3. 1y agoe2treeranger models supported
  4. 1y agogghighlightggplot2 v4.0 support; geom-specific functions removed
  5. 2y agogghighlightTest expectations updated for upcoming ggplot2
  6. 3y agogghighlightline_label_type adds geomtextpath and second-axis labelling
  7. 4y agogghighlightDeprecated dplyr::across() usage removed
  8. 5y agogghighlightExplicit NULL in unhighlighted_params preserved; aesthetic name clash fixed
  9. 5y agogghighlightDiscrete-scale labels and n() predicates

Frequently asked questions

What is the difference between e2tree and gghighlight?

Both compete on the same themes — r-package — within Analytics. e2tree and gghighlight 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 e2tree better than gghighlight?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. e2tree and gghighlight 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 e2tree?

Top e2tree alternatives in Analytics are ranked by recent ship velocity. Browse the "e2tree alternatives" section above for the current picks, or visit /alternatives/e2tree for the full list with editorial commentary on each.

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.