lavaanExtra
SEM reporting helpers converging on APA output, one CRAN resubmission at a time.
A side-by-side editorial comparison of sccore and simlandr — release velocity, themes, recent moves, and the top alternatives to consider.
Shared plumbing for the Kharchenko single-cell stack, updated once a year
sccore is the utility layer under the Kharchenko lab's single-cell packages — embedding plots, dot plots, parallel apply helpers and distance metrics that the downstream tools depend on rather than a tool researchers drive directly. The recent releases fix the Jensen-Shannon distance computation between matrix columns and add optional OpenMP support to the RcppArmadillo build. Cadence is roughly one CRAN release a year.
Potential landscape tooling settling onto standard R generics after two rounds of renaming.
simlandr builds potential landscape plots from simulations of dynamic systems, with barrier-height calculations and batch simulation grids. Its three substantive releases are all consolidation: parameters renamed, functions renamed, defaults removed. By 0.3.0 the bespoke accessors had been replaced by ggplot2's autolayer() and base summary(), and the package carried print, summary, and plot methods for its own classes.
sccore is the utility layer under the Kharchenko lab's single-cell packages — embedding plots, dot plots, parallel apply helpers and distance metrics that the downstream tools depend on rather than a tool researchers drive directly. The recent releases fix the Jensen-Shannon distance computation between matrix columns and add optional OpenMP support to the RcppArmadillo build. Cadence is roughly one CRAN release a year.
Work splits cleanly into two streams: keeping the compiled build acceptable to CRAN as its Makevars policy shifts, and small correctness or interoperability fixes to the plotting and distance helpers. The interoperability thread is the one with direction — embeddingPlot() learning to read Seurat objects in 1.0.6 points at meeting users in the dominant single-cell framework rather than requiring the lab's own object types.
Expect the next release to be driven by a CRAN toolchain requirement or a downstream package's needs, with any user-facing change likely another interoperability or plotting fix rather than new capability.
simlandr builds potential landscape plots from simulations of dynamic systems, with barrier-height calculations and batch simulation grids. Its three substantive releases are all consolidation: parameters renamed, functions renamed, defaults removed. By 0.3.0 the bespoke accessors had been replaced by ggplot2's autolayer() and base summary(), and the package carried print, summary, and plot methods for its own classes.
Every release trades a package-specific name for a conventional one - var and par became arg and ele, get_geom() became an autolayer() method, get_barrier_height() became a summary() method, hash_big.matrix became hash_big_matrix. The one methodological change, an adjusted minimal energy path algorithm, arrived inside a release otherwise full of renames. Removing default values for barrier calculation because they were often unsuitable reads as the maintainer deciding the defaults were doing harm.
The feed stops at 0.3.0 in late 2022, mid-consolidation; these entries give no indication of what followed, if anything did.
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 sccore or simlandr.
SEM reporting helpers converging on APA output, one CRAN resubmission at a time.
A raster-to-terra migration is the only readable change in a feed of merge notes.
A nycflights13 generator whose recent work is all about the data being right.
Conditional density and log-likelihood fill out a vine copula regression package.
A drop-in string API for base R, kept alive by upstream check failures.
From a bundled hospital dataset to a live CMS API client.
See all sccore alternatives → · See all simlandr alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. sccore and simlandr 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. sccore and simlandr 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 sccore alternatives in Analytics are ranked by recent ship velocity. Browse the "sccore alternatives" section above for the current picks, or visit /alternatives/sccore for the full list with editorial commentary on each.
Top simlandr alternatives in Analytics are ranked by recent ship velocity. Browse the "simlandr alternatives" section above for the current picks, or visit /alternatives/simlandr for the full list with editorial commentary on each.