simlandr
Potential landscape tooling settling onto standard R generics after two rounds of renaming.
A side-by-side editorial comparison of anyflights and effectplots — release velocity, themes, recent moves, and the top alternatives to consider.
A nycflights13 generator whose recent work is all about the data being right.
anyflights builds nycflights13-style datasets for any US airport and year, downloading flight, weather, airline, airport, and plane tables and optionally packaging them. The four visible releases span 2022 to 2025 and are dominated by keeping those downloads working. The most recent fixes a timezone leak and gaps in hourly weather data.
A young ALE and PDP plotting package that rebuilt its numeric core after a data-corrupting bug.
effectplots computes and plots partial dependence, ALE, and observed-versus-predicted effect curves for fitted models. It reached CRAN in November 2024 and shipped three releases in the four months after. The 0.2.0 release is the pivot: an outlier-clipping routine that silently modified the caller's data frame was fixed, the numeric path was rewritten for speed and memory, and the plotting and category-collapsing defaults were reset.
anyflights builds nycflights13-style datasets for any US airport and year, downloading flight, weather, airline, airport, and plane tables and optionally packaging them. The four visible releases span 2022 to 2025 and are dominated by keeping those downloads working. The most recent fixes a timezone leak and gaps in hourly weather data.
The function surface has been stable since 0.3; everything since concerns the fragility of the upstream sources. Broken URLs for airline data, download failures needing a session-timeout hint, planes data that stopped resolving, and weather values recorded only once an hour have each taken a release. Contributions come from teaching-adjacent users, which fits a package whose main use is generating course datasets.
Expect the next release to follow another upstream data-source change rather than to add a table or an argument.
effectplots computes and plots partial dependence, ALE, and observed-versus-predicted effect curves for fitted models. It reached CRAN in November 2024 and shipped three releases in the four months after. The 0.2.0 release is the pivot: an outlier-clipping routine that silently modified the caller's data frame was fixed, the numeric path was rewritten for speed and memory, and the plotting and category-collapsing defaults were reset.
After 0.2.0 the work turns to the awkward cases - missing values on the x axis, explicit and empty factor levels, discrete grid detection. The package is also widening past a single modelling ecosystem: h2o support and tidymodels examples arrived with 0.2.0, and fcut() was exported as a fast replacement for cut(). Release notes are issue-numbered throughout, so the roadmap is effectively the issue tracker.
Expect continued default tuning around collapse_m and discrete_m plus more model-backend coverage; the cadence points to another batch of issue fixes rather than a new plot type.
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 anyflights or effectplots.
Potential landscape tooling settling onto standard R generics after two rounds of renaming.
SEM reporting helpers converging on APA output, one CRAN resubmission at a time.
A raster-to-terra migration is the only readable change in a feed of merge notes.
Conditional density and log-likelihood fill out a vine copula regression package.
A drop-in string API for base R, kept alive by upstream check failures.
From a bundled hospital dataset to a live CMS API client.
See all anyflights alternatives → · See all effectplots alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. anyflights and effectplots 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. anyflights and effectplots 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 anyflights alternatives in Analytics are ranked by recent ship velocity. Browse the "anyflights alternatives" section above for the current picks, or visit /alternatives/anyflights for the full list with editorial commentary on each.
Top effectplots alternatives in Analytics are ranked by recent ship velocity. Browse the "effectplots alternatives" section above for the current picks, or visit /alternatives/effectplots for the full list with editorial commentary on each.