qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
A side-by-side editorial comparison of quantities and survminer — release velocity, themes, recent moves, and the top alternatives to consider.
The glue package that makes R carry units and uncertainty through the same calculation.
quantities combines the units and errors packages into one class so values keep both their measurement units and their uncertainty through arithmetic, subsetting and data frame operations. Recent releases have been narrow: fixes to the covariance and correlation implementations, and performance work on the data.frame methods. Most of the release traffic is coordination with its two parent packages.
survminer is back after a five-year gap, and spending it cutting dependencies loose.
survminer draws Kaplan-Meier curves and Cox diagnostics on top of ggplot2, and it sits under a large share of published survival figures. After a long dormancy it has shipped three releases since late 2024, and all of them are about staying compatible: with ggplot2 3.5, then 4.0, and now without survMisc, whose weighted log-rank tests are computed internally in base R as of 0.5.2. The plotting API itself has not changed.
quantities combines the units and errors packages into one class so values keep both their measurement units and their uncertainty through arithmetic, subsetting and data frame operations. Recent releases have been narrow: fixes to the covariance and correlation implementations, and performance work on the data.frame methods. Most of the release traffic is coordination with its two parent packages.
The design settled with 0.2.0, which made uncertainty unit-aware and added correlation and covariance support for quantities objects. Since then the package behaves like the integration layer it is — releasing when units, errors, dplyr or ggplot2 shift underneath it rather than on its own schedule. Several releases consist only of test repairs against upstream changes.
Expect the next release to follow a units or errors change rather than introduce new behaviour of its own.
survminer draws Kaplan-Meier curves and Cox diagnostics on top of ggplot2, and it sits under a large share of published survival figures. After a long dormancy it has shipped three releases since late 2024, and all of them are about staying compatible: with ggplot2 3.5, then 4.0, and now without survMisc, whose weighted log-rank tests are computed internally in base R as of 0.5.2. The plotting API itself has not changed.
This is a revival by maintenance, not by feature work — the same pattern as its sibling packages from the same author. The dependency surface is being reduced rather than extended, and each release absorbs a breaking change from ggplot2 that would otherwise leave existing scripts producing errors or misaligned risk tables. Compatibility fixes now arrive within months of the upstream change rather than years.
Continued ggplot2 4.x tracking is the most likely next release content, since 0.5.2 already carries fixes for 4.0.x aesthetics and the GeomConfint stairstep problem.
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 quantities or survminer.
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
The R package for CODATA constants rebuilt its symbol table on NIST's naming so future updates stop being hand work.
The R client for AusTraits spends its releases chasing the dataset it reads.
A ggplot2 layer for seasonal adjustment output, filling in one plot type at a time.
A fossil-record simulator that quietly grew a trait-evolution engine.
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
See all quantities alternatives → · See all survminer alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. quantities and survminer 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. quantities and survminer 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 quantities alternatives in Analytics are ranked by recent ship velocity. Browse the "quantities alternatives" section above for the current picks, or visit /alternatives/quantities for the full list with editorial commentary on each.
Top survminer alternatives in Analytics are ranked by recent ship velocity. Browse the "survminer alternatives" section above for the current picks, or visit /alternatives/survminer for the full list with editorial commentary on each.