← Back to home
Comparison · Analytics

assesslite vs gghighlight

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

assesslite vs gghighlight: at a glance

Featureassesslitegghighlight
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themescausal-inference, reproducibility, statistical-auditing, python-r-parityggplot2, data-visualisation, ggplot-extension, upstream-compat
Last editorial update7h ago1h ago
WebsiteVisit →Visit →

What is assesslite?

Four releases in fifteen hours take causal assumption-checking from resampling to identification

AssessLite attacks the structural assumptions behind a causal finding and returns three-way verdicts — stable, unstable, or not resolvable — feeding proceed, conditional or abstain decisions, with an auditable JSON record validated against a shared schema. It runs natively in R and Python against one spec, with the Python engine reproducing R's coxph(ties=breslow) exactly. The entire 0.1.0-through-0.4.0 arc landed inside a single day in July 2026.

Read the full assesslite 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 →

assesslite vs gghighlight: editorial side-by-side

A
assesslite
ANALYTICS
0.0

Four releases in fifteen hours take causal assumption-checking from resampling to identification

◆ Current state

AssessLite attacks the structural assumptions behind a causal finding and returns three-way verdicts — stable, unstable, or not resolvable — feeding proceed, conditional or abstain decisions, with an auditable JSON record validated against a shared schema. It runs natively in R and Python against one spec, with the Python engine reproducing R's coxph(ties=breslow) exactly. The entire 0.1.0-through-0.4.0 arc landed inside a single day in July 2026.

◆ Where it's heading

The releases are cumulative, each restating the previous feature set and adding to it, so read them as one launch rather than four. The direction across that launch is clear: it started with resampling attacks (permutation, holdout, temporal split, subgroup), turned toward causal identification with declared DAGs and the backdoor criterion, then reached into genuinely dependent data with spatial and interference checks. The correctness work moves in step — the 0.3.0 Bonferroni adjustment fixed a holdout rule that was flagging roughly m times too often with m variants.

◆ Prediction

The project has repeatedly shipped what it previously listed as future work within days, so the next release most likely converts another declared gap rather than opening a new front.

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 assesslite 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 assesslite or gghighlight.

See all assesslite alternatives → · See all gghighlight alternatives →

Recent activity from assesslite and gghighlight

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

  1. 1mo agoassessliteAssessLite 0.4.0
  2. 1mo agoassessliteAssessLite 0.3.0
  3. 1mo agoassessliteAssessLite 0.2.0
  4. 1mo agoassessliteAssessLite 0.1.0
  5. 1y agogghighlightggplot2 v4.0 support; geom-specific functions removed
  6. 2y agogghighlightTest expectations updated for upcoming ggplot2
  7. 3y agogghighlightline_label_type adds geomtextpath and second-axis labelling
  8. 4y agogghighlightDeprecated dplyr::across() usage removed
  9. 5y agogghighlightExplicit NULL in unhighlighted_params preserved; aesthetic name clash fixed
  10. 5y agogghighlightDiscrete-scale labels and n() predicates

Frequently asked questions

What is the difference between assesslite and gghighlight?

They serve adjacent needs but don't currently overlap on shipped themes. assesslite 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 assesslite better than gghighlight?

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

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