qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
A side-by-side editorial comparison of r-datetimeoffset and quantities — release velocity, themes, recent moves, and the top alternatives to consider.
A datetime type built for the messy metadata formats everyone else rounds off.
datetimeoffset provides a vctrs record type for datetimes with optional UTC offsets, possibly heterogeneous time zones, and missing components — the shapes that appear in PDF, XMP and exiftool metadata. Its value sits in the format family around that type: ISO 8601, EDTF, pdfmark, exiftool, nanotime and strftime output. The 1.0.0 release is a dependency bump, not a feature milestone.
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.
datetimeoffset provides a vctrs record type for datetimes with optional UTC offsets, possibly heterogeneous time zones, and missing components — the shapes that appear in PDF, XMP and exiftool metadata. Its value sits in the format family around that type: ISO 8601, EDTF, pdfmark, exiftool, nanotime and strftime output. The 1.0.0 release is a dependency bump, not a feature milestone.
Growth has come by adding output dialects and loosening parsing rather than by changing the core record. Recent releases handle TOML's ISO 8601 subset and times with no associated date, both narrow gaps in an otherwise settled design. The package tracks the clock package closely and much of its release traffic is keeping that alignment.
Further format dialects and parser edge cases are the likely path; the 1.0.0 label suggests the author considers the record type itself stable.
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.
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 r-datetimeoffset or quantities.
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 r-datetimeoffset alternatives → · See all quantities alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. r-datetimeoffset and quantities 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. r-datetimeoffset and quantities 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 r-datetimeoffset alternatives in Analytics are ranked by recent ship velocity. Browse the "r-datetimeoffset alternatives" section above for the current picks, or visit /alternatives/datetimeoffset for the full list with editorial commentary on each.
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.