randomwalk
randomwalk spent every release getting an R simulation to run in the browser, not on a server.
Comparison · Analytics
fillpattern vs rATTAINS
A side-by-side editorial comparison of fillpattern and rATTAINS — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
fillpattern vs rATTAINS: at a glance
What is fillpattern?
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.
What is rATTAINS?
The R client for EPA water quality data spent two releases undoing its own promises about data shape.
rATTAINS wraps the EPA's ATTAINS API, which holds state water quality assessments and impaired-waters listings. The package reached 1.0.0 by promising stable, consistently rectangled return structures, then walked that promise back in 1.1.0 when it dropped the dependency doing the rectangling. As of 1.2.0 it also requires an API key, because ATTAINS itself began requiring one in May 2026.
fillpattern vs rATTAINS: editorial side-by-side
fillpattern
0.0ANALYTICS
Pattern fills for ggplot2, hardened against the ways users write sizes
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
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.
rATTAINS
0.0ANALYTICS
The R client for EPA water quality data spent two releases undoing its own promises about data shape.
◆ Current state
rATTAINS wraps the EPA's ATTAINS API, which holds state water quality assessments and impaired-waters listings. The package reached 1.0.0 by promising stable, consistently rectangled return structures, then walked that promise back in 1.1.0 when it dropped the dependency doing the rectangling. As of 1.2.0 it also requires an API key, because ATTAINS itself began requiring one in May 2026.
◆ Where it's heading
The direction is toward a thinner, lower-maintenance wrapper. Caching went in 0.1.4 when hoardr was archived, tidyjson and janitor went earlier, tibblify went in 1.1.0, and each removal handed a little more data-shaping responsibility back to the user — the current advice is to pass .unnest = FALSE and rectangle the results with whatever tidying package you prefer. Release cadence is slow and mostly reactive: upstream API terms, archived dependencies, and compatibility with test tooling account for most of the log. The package's centre of gravity is staying installable and honest about what ATTAINS returns rather than smoothing it over.
◆ Prediction
Given the pattern, the next release is likelier to be a compatibility or upstream-driven fix than new endpoint coverage; how the API key requirement affects users in scripted and CI contexts is the obvious open question the entries do not yet answer.
Alternatives to fillpattern and rATTAINS
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 rATTAINS.
fastml
fastml added survival modelling and leakage-proof resampling, moving past classification and regression.
abclass
abclass built out angle-based classifiers in 2022, then went quiet except for CRAN upkeep.
churon
churon is spending its entire release history getting a Rust ONNX binding through CRAN.
firatheme
firatheme woke up after four years and started fixing what ggplot2 changed underneath it.
bagyo
bagyo reached CRAN as a Philippine tropical cyclone dataset, with its tags stamped out of order.
See all fillpattern alternatives → · See all rATTAINS alternatives →
Recent activity from fillpattern and rATTAINS
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agorATTAINSATTAINS now requires an API key, and the package follows
- 6mo agofillpatternSize string parsing fixed; invalid units now report instead of crash
- 8mo agorATTAINSThe tibblify dependency goes, and with it the stable data shapes ⚡
- 1y agorATTAINSTest suite updated for vcr v2
- 2y agofillpatternSmall fill areas no longer crash; min_size falls back to solid
- 2y agofillpatternfillpattern 1.0.1
- 3y agorATTAINS1.0.0 commits to stable return structures via tibblify
- 3y agorATTAINSCaching removed after hoardr was archived
- 4y agorATTAINSRequests retry on timeout, with offline detection
Frequently asked questions
What is the difference between fillpattern and rATTAINS?
Both compete on the same themes — r-package — within Analytics. fillpattern and rATTAINS 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 fillpattern better than rATTAINS?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. fillpattern and rATTAINS 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 fillpattern?
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.
What are the best alternatives to rATTAINS?
Top rATTAINS alternatives in Analytics are ranked by recent ship velocity. Browse the "rATTAINS alternatives" section above for the current picks, or visit /alternatives/rattains for the full list with editorial commentary on each.