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Comparison · Analytics

ggmagnify vs socialmixr

A side-by-side editorial comparison of ggmagnify and socialmixr — release velocity, themes, recent moves, and the top alternatives to consider.

ggmagnify vs socialmixr: at a glance

Featureggmagnifysocialmixr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesggplot2, data-visualization, inset-plots, r-packagecontact matrices, epidemiology, pipeline api, breaking changes
Last editorial update1h ago10h ago
WebsiteVisit →Visit →

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.

Read the full ggmagnify trajectory →

What is socialmixr?

socialmixr breaks its one-shot contact_matrix() call into a composable pipeline.

socialmixr builds age-structured social contact matrices from survey data for infectious-disease modelling. Version 0.6.0 replaces the monolithic contact_matrix() entry point with a chain of composable steps — filter, assign age groups, weigh, compute, then symmetrise, split or convert per capita — behind a new contact_matrix S3 class. Survey downloading is being handed off to a separate contactsurveys package.

Read the full socialmixr trajectory →

ggmagnify vs socialmixr: editorial side-by-side

G
ggmagnify
ANALYTICS
0.0

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.

S
socialmixr
ANALYTICS
0.0

socialmixr breaks its one-shot contact_matrix() call into a composable pipeline.

◆ Current state

socialmixr builds age-structured social contact matrices from survey data for infectious-disease modelling. Version 0.6.0 replaces the monolithic contact_matrix() entry point with a chain of composable steps — filter, assign age groups, weigh, compute, then symmetrise, split or convert per capita — behind a new contact_matrix S3 class. Survey downloading is being handed off to a separate contactsurveys package.

◆ Where it's heading

The arc from 0.4.0 to 0.6.0 is decomposition: first extracting helpers like assign_age_groups(), then moving downloads out of the package, and now exposing every stage of matrix construction as its own verb. Breaking changes are accepted at each step — preserved empty age groups, arrays instead of xtabs, [N,Inf) labels — with the new class inheriting from list so existing $matrix access keeps working. The label change is explicitly aligned with the contactmatrix package.

◆ Prediction

Expect the deprecated dotted argument names and the remaining in-package download paths to be removed once the contactsurveys handoff completes, leaving contact_matrix() as a thin wrapper over the pipeline.

Alternatives to ggmagnify and socialmixr

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 socialmixr.

See all ggmagnify alternatives → · See all socialmixr alternatives →

Recent activity from ggmagnify and socialmixr

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 3mo agosocialmixrContact matrices become a composable pipeline
  2. 6mo agosocialmixrPatch: load_survey() handles files without cont_id
  3. 6mo agosocialmixrAge-group assignment and population lookup split out
  4. 1y agosocialmixrFaster survey loading and cached Zenodo lookups
  5. 2y agoggmagnifyFixes inset theme override on supplied plots
  6. 2y agosocialmixrcontact_matrix() now takes survey objects only
  7. 2y agoggmagnifyAdds fill between projection lines
  8. 2y agoggmagnifyAdds corner radius for target and inset
  9. 2y agosocialmixrTest fixes for machine-precision failures

Frequently asked questions

What is the difference between ggmagnify and socialmixr?

They serve adjacent needs but don't currently overlap on shipped themes. ggmagnify and socialmixr 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 socialmixr?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggmagnify and socialmixr 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 socialmixr?

Top socialmixr alternatives in Analytics are ranked by recent ship velocity. Browse the "socialmixr alternatives" section above for the current picks, or visit /alternatives/socialmixr for the full list with editorial commentary on each.