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fect vs gghighlight

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

Shared themes:r-package

fect vs gghighlight: at a glance

Featurefectgghighlight
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr-package, causal-inference, panel-data, api-redesignggplot2, data-visualisation, ggplot-extension, upstream-compat
Last editorial update4h ago50m ago
WebsiteVisit →Visit →

What is fect?

A counterfactual estimator turning itself into a platform for multiple estimands

fect implements counterfactual estimators for panel data with treatment effects — imputation-based fixed effects, interactive fixed effects, matrix completion. The 2026 releases move fast and bundle heavily: 2.1.0 rewrote complex fixed effect handling, 2.2.0 unified cross-validation under a single cv.method parameter and replaced method='gsynth' with an explicit time.component.from switch, 2.4.1 introduced a post-hoc estimand API, and 2.4.5 added group.fe for coarsened fixed effects plus a $sample slot exposing which cells entered estimation.

Read the full fect 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 →

fect vs gghighlight: editorial side-by-side

F
fect
ANALYTICS
0.0

A counterfactual estimator turning itself into a platform for multiple estimands

◆ Current state

fect implements counterfactual estimators for panel data with treatment effects — imputation-based fixed effects, interactive fixed effects, matrix completion. The 2026 releases move fast and bundle heavily: 2.1.0 rewrote complex fixed effect handling, 2.2.0 unified cross-validation under a single cv.method parameter and replaced method='gsynth' with an explicit time.component.from switch, 2.4.1 introduced a post-hoc estimand API, and 2.4.5 added group.fe for coarsened fixed effects plus a $sample slot exposing which cells entered estimation.

◆ Where it's heading

The direction is separation of estimation from interpretation. Where the package once returned one effect from one fit, estimand() now dispatches typed estimands — ATT, cumulative ATT, APTT, log ATT — from any imputation fit, with effect() and att.cumu() soft-deprecated but byte-identical pending 3.0.0. Alongside that runs a transparency thread: the $sample matrix, out-of-sample comparison via fect_mspe(), and named component sources instead of opaque method aliases. The release notes are unusually precise about which results change and which do not.

◆ Prediction

The soft-deprecation notice names 3.0.0 as the removal point for effect() and att.cumu(), so a major release consolidating on the estimand() dispatcher is the clearly signposted next step.

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 fect 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 fect or gghighlight.

See all fect alternatives → · See all gghighlight alternatives →

Recent activity from fect and gghighlight

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

  1. 2mo agofectAdds group.fe for coarsened fixed effects and a $sample slot
  2. 3mo agofectPost-hoc estimand API decouples estimands from the fit
  3. 4mo agofectUnified cross-validation and explicit control of time components
  4. 7mo agofectRewrites complex fixed effect handling and fixes speed
  5. 11mo agofectAdds heterogeneous treatment effect plots and caps default cores
  6. 1y agogghighlightggplot2 v4.0 support; geom-specific functions removed
  7. 2y agogghighlightTest expectations updated for upcoming ggplot2
  8. 3y agogghighlightline_label_type adds geomtextpath and second-axis labelling
  9. 4y agogghighlightDeprecated dplyr::across() usage removed
  10. 5y agogghighlightExplicit NULL in unhighlighted_params preserved; aesthetic name clash fixed
  11. 5y agogghighlightDiscrete-scale labels and n() predicates

Frequently asked questions

What is the difference between fect and gghighlight?

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

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

Top fect alternatives in Analytics are ranked by recent ship velocity. Browse the "fect alternatives" section above for the current picks, or visit /alternatives/fect 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.