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Comparison · Infra & APIs
anticlust vs tidyplots
A side-by-side editorial comparison of anticlust and tidyplots — release velocity, themes, recent moves, and the top alternatives to consider.
anticlust vs tidyplots: at a glance
What is anticlust?
Anticlustering keeps absorbing constraints — must-link, cannot-link, blocks, missing data
anticlust partitions a set of items into groups that are as similar to each other as possible — assembling matched stimulus sets, balanced experimental conditions, comparable teaching groups. The current surface is one function, anticlustering(), with a growing list of things it will honour: must-link and cannot-link constraints, categorical variables as factors, NAs, blocking by a categorical level, and a choice among exact solvers and heuristics.
What is tidyplots?
tidyplots keeps rebuilding its own foundations rather than layering around them.
tidyplots wraps ggplot2 in a pipe-driven API aimed at publication-ready scientific figures, trading grammar-of-graphics flexibility for a shorter path to a finished plot. It is at 0.4.0 after two years of frequent releases, and almost every one carries a breaking change — the most recent moved multi-panel layout off patchwork and onto ggplot2's own faceting. Statistical annotation, colour schemes and size control have each been reworked at least once.
anticlust vs tidyplots: editorial side-by-side
anticlust
0.0INFRA · APIS
Anticlustering keeps absorbing constraints — must-link, cannot-link, blocks, missing data
◆ Current state
anticlust partitions a set of items into groups that are as similar to each other as possible — assembling matched stimulus sets, balanced experimental conditions, comparable teaching groups. The current surface is one function, anticlustering(), with a growing list of things it will honour: must-link and cannot-link constraints, categorical variables as factors, NAs, blocking by a categorical level, and a choice among exact solvers and heuristics.
◆ Where it's heading
Two years of releases have gone almost entirely into constraint handling and input tolerance rather than new objectives. The methods list grew by absorbing outside work — the three-phase search of Yang et al. contributed by an external author, a 2PML heuristic for must-link problems, a Gurobi backend for the exact formulations. Meanwhile categories_to_binary() has been rewritten twice, which is where the recent bugs have come from.
◆ Prediction
The constraint types now interact combinatorially — blocks, must-link, cannot-link, missing values and each objective — and the last two releases were both regressions in the encoding layer underneath them. Consolidating that layer is the more likely next move than another solver.
tidyplots
0.0INFRA · APIS
tidyplots keeps rebuilding its own foundations rather than layering around them.
◆ Current state
tidyplots wraps ggplot2 in a pipe-driven API aimed at publication-ready scientific figures, trading grammar-of-graphics flexibility for a shorter path to a finished plot. It is at 0.4.0 after two years of frequent releases, and almost every one carries a breaking change — the most recent moved multi-panel layout off patchwork and onto ggplot2's own faceting. Statistical annotation, colour schemes and size control have each been reworked at least once.
◆ Where it's heading
The package is converging on ggplot2 rather than abstracting away from it: split_plot() now uses facet_wrap and facet_grid, as_tidyplot() was hard-deprecated on the grounds that converting a ggplot was never a good idea, and releases are timed against upstream ggplot2 versions. The other constant is the statistics surface, which has grown from basic error bars to paired and selected comparisons. Breaking changes are announced plainly and frequently, consistent with a package using 0.x to fix its shape before committing.
◆ Prediction
The patchwork removal is described as something that will eventually break dependent code, so the near-term work is likely completing that migration and settling the split_plot() parameters introduced alongside it. A 1.0 would signal the breaking-change cadence is ending, and nothing here indicates that yet.
Alternatives to anticlust and tidyplots
Other Infra & APIs 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 anticlust or tidyplots.
rsofun
An ecosystem model starts tracking carbon isotopes and land-use change.
usmap
Ten years in, US mapping splits its data out and finally adds Puerto Rico.
trackeR
Fitness-tracking analysis in slow maintenance, still absorbing upstream breakage.
states
State-panel tooling holding steady since its 2020 data and ergonomics release.
multimark
Five years of compiler and CRAN fixes on a capture-recapture package.
See all anticlust alternatives → · See all tidyplots alternatives →
Recent activity from anticlust and tidyplots
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 4mo agoanticlustOne-hot encoding regression from 0.8.13 reverted
- 7mo agotidyplotstidyplots 0.4.0
- 8mo agoanticlustblocks argument applies anticlustering level by level
- 9mo agoanticlustMissing values, factor columns, and the three-phase search
- 1y agotidyplotstidyplots 0.3.1
- 1y agoanticlustEdge cases in the previous release's cannot-link handling
- 1y agoanticlustVector cannot-link constraints skip the solver entirely
- 1y agoanticlustUncaught test error flagged by CRAN additional checks
- 1y agotidyplotstidyplots 0.2.2
- 1y agotidyplotstidyplots 0.2.1
- 1y agotidyplotstidyplots 0.2.0
- 1y agotidyplotstidyplots 0.1.2
Frequently asked questions
What is the difference between anticlust and tidyplots?
They serve adjacent needs but don't currently overlap on shipped themes. anticlust and tidyplots 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 anticlust better than tidyplots?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. anticlust and tidyplots 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 Infra & APIs products to evaluate alongside.
What are the best alternatives to anticlust?
Top anticlust alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "anticlust alternatives" section above for the current picks, or visit /alternatives/anticlust for the full list with editorial commentary on each.
What are the best alternatives to tidyplots?
Top tidyplots alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "tidyplots alternatives" section above for the current picks, or visit /alternatives/tidyplots for the full list with editorial commentary on each.