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Comparison · Infra & APIs

netdiffuseR vs tidyplots

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

netdiffuseR vs tidyplots: at a glance

FeaturenetdiffuseRtidyplots
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesnetwork-analysis, diffusion, contagion, multi-adoptiondata-visualization, r-package, ggplot2, scientific-publishing
Last editorial update1h ago49m ago
WebsiteVisit →Visit →

What is netdiffuseR?

Network diffusion analysis returns from a seven-year gap able to track several behaviours at once

netdiffuseR analyses how behaviours spread through networks — exposure, adoption timing, thresholds, and simulation of diffusion processes. Its feed has a hole: four releases from 2024 to 2026 sit directly on top of three from 2016 and 2017, with the intervening versions absent. The current line is being maintained by a widening group of contributors and, at 1.24.0, was explicitly brought back to CRAN.

Read the full netdiffuseR trajectory →

What is tidyplots?

tidyplots keeps rebuilding its own foundations rather than layering around them.

tidyplots wraps ggplot2 in a pipe-driven API aimed at publication-ready scientific figures, trading grammar-of-graphics flexibility for a shorter path to a finished plot. It is at 0.4.0 after two years of frequent releases, and almost every one carries a breaking change — the most recent moved multi-panel layout off patchwork and onto ggplot2's own faceting. Statistical annotation, colour schemes and size control have each been reworked at least once.

Read the full tidyplots trajectory →

netdiffuseR vs tidyplots: editorial side-by-side

N
netdiffuseR
INFRA · APIS
0.0

Network diffusion analysis returns from a seven-year gap able to track several behaviours at once

◆ Current state

netdiffuseR analyses how behaviours spread through networks — exposure, adoption timing, thresholds, and simulation of diffusion processes. Its feed has a hole: four releases from 2024 to 2026 sit directly on top of three from 2016 and 2017, with the intervening versions absent. The current line is being maintained by a widening group of contributors and, at 1.24.0, was explicitly brought back to CRAN.

◆ Where it's heading

The recent releases read as institutional rather than exploratory: CI fixes, CRAN-readiness passes, contributed PRs from new names, bundled teaching datasets. The one structural move is 1.23.0, named for multi-adoption, which alongside a refactor of the exposure and rdiffnet internals adds a function for splitting behaviours apart — the package handling several diffusing behaviours where its object model previously carried one.

◆ Prediction

With CRAN presence restored and a dataset for a teaching game added in the newest release, the near-term direction looks like classroom and workshop use rather than new method surface. Whether multi-adoption gets its own analysis functions, rather than a splitter, is the open question these notes do not answer.

T
tidyplots
INFRA · APIS
0.0

tidyplots keeps rebuilding its own foundations rather than layering around them.

◆ Current state

tidyplots wraps ggplot2 in a pipe-driven API aimed at publication-ready scientific figures, trading grammar-of-graphics flexibility for a shorter path to a finished plot. It is at 0.4.0 after two years of frequent releases, and almost every one carries a breaking change — the most recent moved multi-panel layout off patchwork and onto ggplot2's own faceting. Statistical annotation, colour schemes and size control have each been reworked at least once.

◆ Where it's heading

The package is converging on ggplot2 rather than abstracting away from it: split_plot() now uses facet_wrap and facet_grid, as_tidyplot() was hard-deprecated on the grounds that converting a ggplot was never a good idea, and releases are timed against upstream ggplot2 versions. The other constant is the statistics surface, which has grown from basic error bars to paired and selected comparisons. Breaking changes are announced plainly and frequently, consistent with a package using 0.x to fix its shape before committing.

◆ Prediction

The patchwork removal is described as something that will eventually break dependent code, so the near-term work is likely completing that migration and settling the split_plot() parameters introduced alongside it. A 1.0 would signal the breaking-change cadence is ending, and nothing here indicates that yet.

Alternatives to netdiffuseR and tidyplots

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 netdiffuseR or tidyplots.

See all netdiffuseR alternatives → · See all tidyplots alternatives →

Recent activity from netdiffuseR and tidyplots

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

  1. 4mo agonetdiffuseREpidemic game dataset added ahead of a CRAN submission
  2. 7mo agotidyplotstidyplots 0.4.0
  3. 8mo agonetdiffuseRBack on CRAN with an adoption-timing diagnostic
  4. 1y agotidyplotstidyplots 0.3.1
  5. 1y agonetdiffuseRMulti-adoption: splitting several behaviours out of one network
  6. 1y agotidyplotstidyplots 0.2.2
  7. 1y agotidyplotstidyplots 0.2.1
  8. 1y agotidyplotstidyplots 0.2.0
  9. 1y agotidyplotstidyplots 0.1.2
  10. 1y agonetdiffuseRCRAN v1.22.6
  11. 8y agonetdiffuseRigraph-standard plotting and repeated diffusion simulations
  12. 9y agonetdiffuseRBootstrapping, mentor matching, and Bass model fitting

Frequently asked questions

What is the difference between netdiffuseR and tidyplots?

They serve adjacent needs but don't currently overlap on shipped themes. netdiffuseR and tidyplots 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 netdiffuseR better than tidyplots?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. netdiffuseR and tidyplots 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.

What are the best alternatives to netdiffuseR?

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

What are the best alternatives to tidyplots?

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