mice
mice can finally predict, not just estimate, from multiply imputed data.
A side-by-side editorial comparison of bulkreadr and ipeaplot — release velocity, themes, recent moves, and the top alternatives to consider.
A bulk file reader became a labelled-survey-data toolkit, then went quiet
bulkreadr started as a way to read many files at once and turned into tooling for labelled survey data: SPSS and Stata importers that convert labelled variables to factors, generate_dictionary() for building data dictionaries, look_for() for searching variable descriptions, and imputation helpers. The most recent release does the opposite of adding — it pulls inspect_na() in-house to drop an external dependency.
An institutional chart theme whose recent releases are all vignette repair.
ipeaplot supplies Ipea's house style to ggplot2 — theme_ipea(), matching colour and fill scales, and export helpers that write the formats the institute's publications need. The feature line has been quiet since October, when save_ipeaplot() consolidated the format-specific savers. Both July releases exist to get the package building again, not to change it.
bulkreadr started as a way to read many files at once and turned into tooling for labelled survey data: SPSS and Stata importers that convert labelled variables to factors, generate_dictionary() for building data dictionaries, look_for() for searching variable descriptions, and imputation helpers. The most recent release does the opposite of adding — it pulls inspect_na() in-house to drop an external dependency.
Growth came in a burst across 2023, slowed to one release a year, and has now turned inward. The 2023 cadence added a format or a labelled-data function every few weeks; 2025 added a single Excel-to-CSV exporter; 2026 removed a dependency. The GitHub notes are cumulative — each release restates every prior version's changelog — which makes the feed look busier than the work is.
With inspectdf gone, the remaining Suggests-level dependencies are the obvious next targets for the same treatment. Nothing in these entries points to a new file format or a return to the 2023 pace.
ipeaplot supplies Ipea's house style to ggplot2 — theme_ipea(), matching colour and fill scales, and export helpers that write the formats the institute's publications need. The feature line has been quiet since October, when save_ipeaplot() consolidated the format-specific savers. Both July releases exist to get the package building again, not to change it.
The package has been converging on a smaller, more uniform surface: separate save_eps() and save_pdf() helpers gave way to one save_ipeaplot() covering vector and raster formats with sensible defaults, and the Frutiger font dependency was dropped for a default sans-serif. What consumes releases now is downstream breakage — two consecutive patches in ten days, the second traced to geobr, both in vignettes rather than package code.
The palette line has grown one colour set at a time and is the most likely place for the next addition, but nothing in these entries commits to it. On current evidence the near term is more compatibility patching against the geobr and ggplot2 packages the vignettes depend on.
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 bulkreadr or ipeaplot.
mice can finally predict, not just estimate, from multiply imputed data.
A market-microstructure toolkit that keeps adding estimators as the papers land.
A vowel-analysis package trimming dependencies after an email address got it archived.
The R half of the EMU speech database system, fixing what was quietly broken.
A Bayesian model-averaging package spending its 2.0 on memory, not methods.
tidyplots keeps rebuilding its own foundations rather than layering around them.
See all bulkreadr alternatives → · See all ipeaplot alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. bulkreadr and ipeaplot 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. bulkreadr and ipeaplot 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.
Top bulkreadr alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "bulkreadr alternatives" section above for the current picks, or visit /alternatives/bulkreadr for the full list with editorial commentary on each.
Top ipeaplot alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "ipeaplot alternatives" section above for the current picks, or visit /alternatives/ipeaplot for the full list with editorial commentary on each.