randomwalk
randomwalk spent every release getting an R simulation to run in the browser, not on a server.
A side-by-side editorial comparison of fillpattern and impIndicator — release velocity, themes, recent moves, and the top alternatives to consider.
Pattern fills for ggplot2, hardened against the ways users write sizes
fillpattern provides pattern fills — stripes, bricks, dots — for ggplot2 and base R graphics, aimed at figures that must stay legible in greyscale or to colour-blind readers. The 1.0.3 release is mostly defensive: size modifier strings ending in a colon no longer swap width for height, modify_size() reports invalid units instead of crashing and understands in, inches and cm, and a background colour bug in scale_fill_pattern() is fixed. The minimum R version rises to 4.2.0 for recent graphics engine features.
Biodiversity impact indicators settle their vocabulary before 1.0
impIndicator computes indicators of alien-species impact from GBIF-style occurrence cubes, producing species-level, site-level and regional measures with visualisation. The latest release renames the three headline functions to compute_species_indicator(), compute_site_indicator() and compute_regional_indicator(), drops the division by total occupied sites, and fixes the exponential transformation of impact categories into scores. It is part of the b-cubed-eu family and leans on sibling tooling rather than reimplementing it.
fillpattern provides pattern fills — stripes, bricks, dots — for ggplot2 and base R graphics, aimed at figures that must stay legible in greyscale or to colour-blind readers. The 1.0.3 release is mostly defensive: size modifier strings ending in a colon no longer swap width for height, modify_size() reports invalid units instead of crashing and understands in, inches and cm, and a background colour bug in scale_fill_pattern() is fixed. The minimum R version rises to 4.2.0 for recent graphics engine features.
Development is slow and entirely reactive to how the string-based size interface fails. The pattern across releases is the same: a user hits an edge — very small fill areas in 1.0.2, malformed unit strings in 1.0.3 — and the fix is either a graceful fallback or a clearer error. Leaning on R's newer graphics engine rather than reimplementing pattern rendering keeps the package small at the cost of raising its version floor.
Expect further releases to stay in the same register: parsing and validation fixes for the size and unit interface, with the pattern set itself unlikely to change.
impIndicator computes indicators of alien-species impact from GBIF-style occurrence cubes, producing species-level, site-level and regional measures with visualisation. The latest release renames the three headline functions to compute_species_indicator(), compute_site_indicator() and compute_regional_indicator(), drops the division by total occupied sites, and fixes the exponential transformation of impact categories into scores. It is part of the b-cubed-eu family and leans on sibling tooling rather than reimplementing it.
Two threads run through the recent releases. One is uncertainty: 0.6.0 wires in dubicube for cross-validation and uncertainty estimation on the indicators, moving output from point estimates toward quantified confidence. The other is scoping and naming — user-supplied sf regions in 0.4.0, occurrence-cube construction in 0.5.0, then the 0.6.1 rename — the pattern of a package tightening its public vocabulary as it approaches a stable release.
With the naming settled and uncertainty estimation in place, the next step is most likely consolidation toward a 1.0 — documentation and vignettes against the renamed functions rather than further indicator types.
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 fillpattern or impIndicator.
randomwalk spent every release getting an R simulation to run in the browser, not on a server.
fastml added survival modelling and leakage-proof resampling, moving past classification and regression.
abclass built out angle-based classifiers in 2022, then went quiet except for CRAN upkeep.
churon is spending its entire release history getting a Rust ONNX binding through CRAN.
firatheme woke up after four years and started fixing what ggplot2 changed underneath it.
bagyo reached CRAN as a Philippine tropical cyclone dataset, with its tags stamped out of order.
See all fillpattern alternatives → · See all impIndicator alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. fillpattern and impIndicator 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. fillpattern and impIndicator 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.
Top fillpattern alternatives in Analytics are ranked by recent ship velocity. Browse the "fillpattern alternatives" section above for the current picks, or visit /alternatives/fillpattern for the full list with editorial commentary on each.
Top impIndicator alternatives in Analytics are ranked by recent ship velocity. Browse the "impIndicator alternatives" section above for the current picks, or visit /alternatives/impindicator for the full list with editorial commentary on each.