ggtrace
A debugger for ggplot2's internals, hardening its grip as the internals it traces keep moving.
A side-by-side editorial comparison of fracture and STACAS — release velocity, themes, recent moves, and the top alternatives to consider.
fracture solved decimal-to-fraction conversion years ago and now only answers to CRAN.
A single-purpose package converting decimals to fractions, with a matrix form and a Unicode pretty-printer. The functional work finished in 2021-2022: an explicit denom argument, named-argument-only calling, sensible denominators at 0 and 1, and NA and Inf handled rather than erroring. The only release since is a four-year-later removal of a C++11 system requirement that R's C++17 default made redundant.
Single-cell batch correction that learned to use cell labels, then spent three releases chasing Seurat.
STACAS integrates single-cell RNA-seq datasets by finding and weighting anchors between them, with rPCA-distance-based downweighting and an optional semi-supervised mode that uses cell type labels to discard inconsistent anchors. IntegrateData.STACAS() performs the integration natively rather than handing off, and StandardizeGeneSymbols() normalises gene naming across datasets before anchors are computed.
A single-purpose package converting decimals to fractions, with a matrix form and a Unicode pretty-printer. The functional work finished in 2021-2022: an explicit denom argument, named-argument-only calling, sensible denominators at 0 and 1, and NA and Inf handled rather than erroring. The only release since is a four-year-later removal of a C++11 system requirement that R's C++17 default made redundant.
This is a completed utility. Its arc ran from correctness — floating-point rounding, exhaustive tests across millions of fractions — through API tightening, to edge-case tolerance, and then stopped. The 2026 release contains no user-visible change at all; it exists because CRAN's toolchain moved, which is the characteristic maintenance mode of a small package that does one thing correctly.
Nothing in these entries suggests new functionality; expect further releases only when R or CRAN policy forces one, as this one did.
STACAS integrates single-cell RNA-seq datasets by finding and weighting anchors between them, with rPCA-distance-based downweighting and an optional semi-supervised mode that uses cell type labels to discard inconsistent anchors. IntegrateData.STACAS() performs the integration natively rather than handing off, and StandardizeGeneSymbols() normalises gene naming across datasets before anchors are computed.
The method work concentrated in version 2.0 and has been stable since; everything after is Seurat compatibility and operational robustness. Versions 2.1.1 through 2.3.0 track Seurat v5 assays, v3-to-v5 conversion, multi-layer objects and SCT normalisation, with the genuinely useful additions — a reference seed dataset, max.seed.datasets for large-scale integration, min.sample.size — arriving as side effects of that work. The package is from the same lab as GeneNMF, and its release rhythm follows the single-cell ecosystem's upstream churn rather than an internal roadmap.
Expect the next release to follow further Seurat object-model changes, which have driven the last three. Nothing in the entries indicates new anchor-scoring or correction methodology in progress.
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 fracture or STACAS.
A debugger for ggplot2's internals, hardening its grip as the internals it traces keep moving.
A univariate density estimator that added zero-inflated data and reopened its C++ API to do it.
Stationary vine copulas for time series, released in lockstep with the rest of Nagler's vine stack.
A single-purpose ggplot2 extension that has spent six years tracking ggplot2 instead of growing.
A Star Trek data package that became a Memory Alpha web client and has been patching scrapers ever since.
A thin EIA energy-data client whose whole story is making bulk queries survive the API's limits.
See all fracture alternatives → · See all STACAS alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. fracture and STACAS 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. fracture and STACAS 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 fracture alternatives in Analytics are ranked by recent ship velocity. Browse the "fracture alternatives" section above for the current picks, or visit /alternatives/fracture for the full list with editorial commentary on each.
Top STACAS alternatives in Analytics are ranked by recent ship velocity. Browse the "STACAS alternatives" section above for the current picks, or visit /alternatives/stacas for the full list with editorial commentary on each.