mice
mice can finally predict, not just estimate, from multiply imputed data.
A side-by-side editorial comparison of bulkreadr and standardlastprofile — 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.
A German electricity load-profile package added gas and doubled the market it serves.
standardlastprofile implements the BDEW standard load profiles that German utilities use to assign consumption to customers without interval metering. Until June it did electricity only. Version 2.0.0 added the gas side — the SigLinDe synthetic procedure across all 15 BDEW gas profile IDs — and gave electricity a new primary interface, slp_electricity(), with slp_generate() superseded but retained.
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.
standardlastprofile implements the BDEW standard load profiles that German utilities use to assign consumption to customers without interval metering. Until June it did electricity only. Version 2.0.0 added the gas side — the SigLinDe synthetic procedure across all 15 BDEW gas profile IDs — and gave electricity a new primary interface, slp_electricity(), with slp_generate() superseded but retained.
The package is converting from a dataset wrapper into a calculation library. Electricity profiles are tabulated values the package ships; gas profiles are computed from daily temperatures and a customer value through a coefficient-driven function, and the maintainer exposed the whole ladder — slp_gas() for the profile, slp_gas_kundenwert() to derive the customer value from a reference year, slp_gas_siglinde() for the raw h(theta) demand function so users can supply state-level coefficients, and coefficient and weekday-factor accessors underneath. The same instinct removed the built-in holiday table in favour of computing Easter directly, which lifted the date range cap from 2073 to open-ended. Deprecations are handled carefully throughout: renames keep working with lifecycle warnings, and the one hard break was already a warning since 1.1.0.
slp_gas_siglinde() was exported specifically so users could plug in region-specific coefficients such as Baden-Wurttemberg's, which points at state-level coefficient sets as the next thing to ship rather than leave to callers. The BDEW reference edition is now pinned to an Internet Archive permalink after the last one 404'd, so tracking edition changes is an ongoing maintenance cost.
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 standardlastprofile.
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 standardlastprofile 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 standardlastprofile 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 standardlastprofile 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 standardlastprofile alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "standardlastprofile alternatives" section above for the current picks, or visit /alternatives/standardlastprofile for the full list with editorial commentary on each.