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The Manhattan-plot package for GWAS results, finished and dormant since 2017.
A side-by-side editorial comparison of tern.rbmi and tidyBdE — release velocity, themes, recent moves, and the top alternatives to consider.
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
tern.rbmi renders the output of {rbmi} reference-based multiple imputation analyses into tern tables for clinical reporting. Its three most recent releases exist to satisfy CRAN: restricting vignette builds to gcc, adding V8 to Suggests, and a plain resubmission. No user-facing functionality has changed in the visible window, and the three older entries now backfilled are version-bump automation.
A Banco de España CSV scraper just learned to query the bank's live statistics API.
tidyBdE pulls Banco de España macroeconomic series into tidy R data frames and ships ggplot2 scales in the bank's house colors. Its whole history ran on bulk CSV downloads; 0.7.0 adds bde_series_api_latest() and bde_series_api_load() to query the bank's Statistics web service directly, with wide and long output, metadata extraction and time-range validation. The same release reached 100% line coverage.
tern.rbmi renders the output of {rbmi} reference-based multiple imputation analyses into tern tables for clinical reporting. Its three most recent releases exist to satisfy CRAN: restricting vignette builds to gcc, adding V8 to Suggests, and a plain resubmission. No user-facing functionality has changed in the visible window, and the three older entries now backfilled are version-bump automation.
This is a thin adapter package and behaves like one — it moves when CRAN or an upstream dependency forces it to. Between 2022 and 2024 the feed shows only version bumps, and the 2025 releases are packaging concerns rather than analysis changes. The newly surfaced 2022 entries reinforce rather than change that reading.
Expect the next release to be triggered by a CRAN check failure or an {rbmi} update rather than by new tabulation features.
tidyBdE pulls Banco de España macroeconomic series into tidy R data frames and ships ggplot2 scales in the bank's house colors. Its whole history ran on bulk CSV downloads; 0.7.0 adds bde_series_api_latest() and bde_series_api_load() to query the bank's Statistics web service directly, with wide and long output, metadata extraction and time-range validation. The same release reached 100% line coverage.
Most releases in this feed are the package chasing Banco de España's own churn — series identifiers change upstream and the indicator wrappers get repointed. The API functions break that pattern by removing the bulk-file dependency for the first time, and the new csv_manual vignette reads like documentation of the legacy path rather than the preferred one. The maintainer is applying the same cli, roxygen2 and AI-assisted refactor pass seen across their other Spanish open-data packages.
Expect the indicator wrappers to migrate onto the API functions, which would end the recurring identifier-tracking releases; the bde_ind_db documentation already carries the API series code alongside the CSV identifiers.
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 tern.rbmi or tidyBdE.
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
The R package for CODATA constants rebuilt its symbol table on NIST's naming so future updates stop being hand work.
The R client for AusTraits spends its releases chasing the dataset it reads.
A ggplot2 layer for seasonal adjustment output, filling in one plot type at a time.
A fossil-record simulator that quietly grew a trait-evolution engine.
An MMRM tabulation package that has published nothing since its 2024 CRAN releases.
See all tern.rbmi alternatives → · See all tidyBdE alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. tern.rbmi and tidyBdE 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. tern.rbmi and tidyBdE 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 tern.rbmi alternatives in Analytics are ranked by recent ship velocity. Browse the "tern.rbmi alternatives" section above for the current picks, or visit /alternatives/tern-rbmi for the full list with editorial commentary on each.
Top tidyBdE alternatives in Analytics are ranked by recent ship velocity. Browse the "tidyBdE alternatives" section above for the current picks, or visit /alternatives/tidybde for the full list with editorial commentary on each.