qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
Comparison · Analytics
ggmagnify vs tidyBdE
A side-by-side editorial comparison of ggmagnify and tidyBdE — release velocity, themes, recent moves, and the top alternatives to consider.
ggmagnify vs tidyBdE: at a glance
What is ggmagnify?
A single-purpose ggplot2 inset tool, refining the same three arguments.
ggmagnify draws magnified insets of a region of a ggplot, with projection lines connecting the inset to its source area. The visible releases are all small refinements to how that inset looks — corner radius, fill between projection lines — plus one fix for inset themes being overridden. There are only three entries, so the picture is necessarily partial.
What is tidyBdE?
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.
ggmagnify vs tidyBdE: editorial side-by-side
ggmagnify
0.0ANALYTICS
A single-purpose ggplot2 inset tool, refining the same three arguments.
◆ Current state
ggmagnify draws magnified insets of a region of a ggplot, with projection lines connecting the inset to its source area. The visible releases are all small refinements to how that inset looks — corner radius, fill between projection lines — plus one fix for inset themes being overridden. There are only three entries, so the picture is necessarily partial.
◆ Where it's heading
Work concentrates on the visual finish of the inset rather than on new capability, which is what a package with one job should look like. Two feature releases a week apart in early 2024 suggest a short burst of attention rather than sustained development, and the feed goes quiet after mid-2024.
◆ Prediction
Too few entries to call a direction with confidence; continued small styling arguments would be consistent with what is visible.
tidyBdE
0.0ANALYTICS
A Banco de España CSV scraper just learned to query the bank's live statistics API.
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
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.
Alternatives to ggmagnify and tidyBdE
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 ggmagnify or tidyBdE.
constants
The R package for CODATA constants rebuilt its symbol table on NIST's naming so future updates stop being hand work.
austraits
The R client for AusTraits spends its releases chasing the dataset it reads.
ggdemetra
A ggplot2 layer for seasonal adjustment output, filling in one plot type at a time.
fossilsim
A fossil-record simulator that quietly grew a trait-evolution engine.
tern.rbmi
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
See all ggmagnify alternatives → · See all tidyBdE alternatives →
Recent activity from ggmagnify and tidyBdE
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agotidyBdELive Statistics API access replaces bulk CSV as the entry point ⚡
- 2mo agotidyBdECSV encoding now detected automatically
- 4mo agotidyBdEVignettes migrate to Quarto; CPI series repointed
- 7mo agotidyBdER 4.1 minimum and a documentation pass
- 1y agotidyBdEIndicators move onto a single series database
- 1y agotidyBdEQuarterly GDP indicator repointed after upstream change
- 2y agoggmagnifyFixes inset theme override on supplied plots
- 2y agoggmagnifyAdds fill between projection lines
- 2y agoggmagnifyAdds corner radius for target and inset
Frequently asked questions
What is the difference between ggmagnify and tidyBdE?
They serve adjacent needs but don't currently overlap on shipped themes. ggmagnify 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.
Is ggmagnify better than tidyBdE?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggmagnify 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.
What are the best alternatives to ggmagnify?
Top ggmagnify alternatives in Analytics are ranked by recent ship velocity. Browse the "ggmagnify alternatives" section above for the current picks, or visit /alternatives/ggmagnify for the full list with editorial commentary on each.
What are the best alternatives to tidyBdE?
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.