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Comparison · Infra & APIs
ggpointless vs modsem
A side-by-side editorial comparison of ggpointless and modsem — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-packages
ggpointless vs modsem: at a glance
| Feature | ggpointless | modsem |
|---|---|---|
| Sector | Infra & APIs | Infra & APIs |
| Velocity score | 0.0 | 0.0 |
| Sparks · 30d | 0 | 0 |
| Top themes | ggplot2-extensions, data-visualization, pictogram-charts, alpha-gradients | structural-equation-modeling, latent-interactions, lms-estimator, mplus-interop |
| Last editorial update | 1h ago | 1h ago |
| Website | Visit → | Visit → |
What is ggpointless?
ggpointless keeps adding the ggplot2 layers nobody else bothered to write.
ggpointless is a small ggplot2 extension collecting geoms that sit outside the standard set — Lexis diagrams, Chaikin-smoothed paths, hanging chains, Fourier reconstructions — and it has grown steadily rather than changed shape. The May release is the largest yet: isotype and pictogram bar charts as stacks of discrete unit cells, a family of geoms that fade paths, segments, curves and reference lines along their length, and geom_gridline(), which draws grid lines as a layer on top of the data rather than beneath it.
What is modsem?
modsem is grinding latent interaction models toward Mplus parity, one estimator at a time.
modsem fits interaction and quadratic effects between latent variables in R, offering both product-indicator approaches (modsem_pi) and distribution-analytic ones (modsem_da, covering LMS and QML). Releases land roughly monthly and are dense pull-request lists. The recent line is dominated by the LMS approach: gradient refactors, parallel E-steps, composite construct support, and careful handling of residual covariances between latent variables.
ggpointless vs modsem: editorial side-by-side
ggpointless
0.0INFRA · APIS
ggpointless keeps adding the ggplot2 layers nobody else bothered to write.
◆ Current state
ggpointless is a small ggplot2 extension collecting geoms that sit outside the standard set — Lexis diagrams, Chaikin-smoothed paths, hanging chains, Fourier reconstructions — and it has grown steadily rather than changed shape. The May release is the largest yet: isotype and pictogram bar charts as stacks of discrete unit cells, a family of geoms that fade paths, segments, curves and reference lines along their length, and geom_gridline(), which draws grid lines as a layer on top of the data rather than beneath it.
◆ Where it's heading
Two patterns are visible. Ideas get generalized rather than left as one-offs: geom_area_fade() in the previous release established alpha gradients via grid::linearGradient(), and the recent release spreads that treatment across paths, lines, steps, segments, curves and the three reference-line geoms, each with the same fade_direction and alpha_fade_to arguments. And each new geom is expected to survive real plots — the unit charts work under coord_equal, coord_polar, coord_radial, coord_flip and faceting, and geom_gridline reads positions from trained scales and inherits styling from the theme's panel grid. The package also tracks ggplot2 closely, requiring 4.0.0 and using make_constructor() and gg_par() internally, and it dropped its bundled datasets outright rather than maintain stale copies.
◆ Prediction
The fade treatment now covers most path-like geoms but not the area and ribbon family beyond geom_area_fade(), which is where the pattern has room left to run. The unit-cell charts arrive with a label helper and no fill or grouping variants, so those are the plausible next additions.
modsem
0.0INFRA · APIS
modsem is grinding latent interaction models toward Mplus parity, one estimator at a time.
◆ Current state
modsem fits interaction and quadratic effects between latent variables in R, offering both product-indicator approaches (modsem_pi) and distribution-analytic ones (modsem_da, covering LMS and QML). Releases land roughly monthly and are dense pull-request lists. The recent line is dominated by the LMS approach: gradient refactors, parallel E-steps, composite construct support, and careful handling of residual covariances between latent variables.
◆ Where it's heading
Two things are being closed at once. The modelling gap — composites and formative constructs, categorical estimators, residual covariances in every direction, multigroup and clustered designs — brings modsem toward what commercial Mplus users expect, and the package's Mplus bridge is maintained alongside it, now with unique file IDs and a cleanup argument. The performance gap is the other: memoised H0, parallel E-step, optimized gradients and Hessians for both LMS and QML, all aimed at the distribution-analytic estimators that are expensive by construction. Convention borrowing from lavaan continues in message formatting and standard-error defaults.
◆ Prediction
The 1.0.20 and 1.0.21 releases both spent effort on residual covariances between endogenous and exogenous latent variables across estimation, prediction and standardization, and that thread has not obviously closed. The arrival of a second contributor moving MplusAutomation to Suggests suggests dependency trimming continues.
Alternatives to ggpointless and modsem
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 ggpointless or modsem.
massProps
A mass-properties rollup spends a year on documentation and follows its sibling's API
writeAlizer
Six months of releases and not one of them touched the scoring models
samplr
A cognitive-science sampling package ships once, then goes quiet for eighteen months
stochvol
A Bayesian volatility sampler in its maintenance decade, paying for its own speed
midr
A black-box interpreter reaches CRAN, then learns multi-class and survival responses
See all ggpointless alternatives → · See all modsem alternatives →
Recent activity from ggpointless and modsem
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agomodsemUnique Mplus file IDs, cleanup argument, LMS gradient refactor
- 2mo agomodsemComposite constructs for LMS, plus MC-LMS-CAT and MC-QML-CAT
- 3mo agoggpointlessPictogram unit charts, gridline layers and a family of fading geoms
- 3mo agomodsemPrint spacing and a partial-match fix in getSortedEtas()
- 4mo agomodsemCategorical argument for Mplus; partial support for the <~ operator
- 5mo agoggpointlessFourier and arch geoms, area fades and glowing points
- 5mo agomodsemConsistent three-way interaction estimates with rcs=TRUE
- 6mo agomodsemSecondary pruning and a forward-difference Hessian mode
- 2y agoggpointlessgeom_catenary() draws a hanging chain
- 3y agoggpointlessgeom_chaikin() adds corner-cutting path smoothing
- 4y agoggpointlessgeom_lexis() and the female_leaders dataset
Frequently asked questions
What is the difference between ggpointless and modsem?
Both compete on the same themes — r-packages — within Infra & APIs. ggpointless and modsem 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 ggpointless better than modsem?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggpointless and modsem 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 ggpointless?
Top ggpointless alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "ggpointless alternatives" section above for the current picks, or visit /alternatives/ggpointless for the full list with editorial commentary on each.
What are the best alternatives to modsem?
Top modsem alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "modsem alternatives" section above for the current picks, or visit /alternatives/modsem for the full list with editorial commentary on each.