qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
Comparison · Analytics
constants vs xts
A side-by-side editorial comparison of constants and xts — release velocity, themes, recent moves, and the top alternatives to consider.
constants vs xts: at a glance
What is constants?
The R package for CODATA constants rebuilt its symbol table on NIST's naming so future updates stop being hand work.
constants exposes the CODATA recommended values of the physical constants to R, as a data frame plus symbol lists that carry units, uncertainties, or both. The package reached 1.0.0 on the 2018 CODATA release and has shipped once since, purely to track a units package update. Its surface is small and its release cadence is bound to CODATA, which revises every few years.
What is xts?
xts is finished software, and its releases now track R's C API more than user requests.
xts is the time-series class underpinning much of R's financial stack, and it behaves like infrastructure: the visible releases are bug fixes, plotting repairs and conformance work. A recurring thread is removing calls R no longer considers public — SET_TYPEOF in 0.14.0 and 0.14.1, then ATTRIB() and SET_ATTRIB() in 0.14.2. Feature additions are rare and small, the last cluster being open-ended time-of-day subsetting and na.fill performance in 0.13.0.
constants vs xts: editorial side-by-side
constants
0.0ANALYTICS
The R package for CODATA constants rebuilt its symbol table on NIST's naming so future updates stop being hand work.
◆ Current state
constants exposes the CODATA recommended values of the physical constants to R, as a data frame plus symbol lists that carry units, uncertainties, or both. The package reached 1.0.0 on the 2018 CODATA release and has shipped once since, purely to track a units package update. Its surface is small and its release cadence is bound to CODATA, which revises every few years.
◆ Where it's heading
The direction set at 1.0.0 was to stop being a curated convenience wrapper and become a mechanical mirror of NIST. Hand-crafted symbol names were replaced with NIST's own ASCII symbols, categories adopted NIST's, and uncertainty switched from relative to absolute — all framed by the maintainer as necessary to make future CODATA updates routine. On top of that the package gained a correlation matrix and optional integration with the quantities package, moving it from a lookup table toward something that can propagate uncertainty.
◆ Prediction
Having rebuilt the symbol table specifically so CODATA revisions become mechanical, the next substantive release most likely tracks a new CODATA dataset rather than adding API. The experimental correlated-value support, disabled by default at 1.0.0, is the one part these entries flag as unfinished.
xts
0.0ANALYTICS
xts is finished software, and its releases now track R's C API more than user requests.
◆ Current state
xts is the time-series class underpinning much of R's financial stack, and it behaves like infrastructure: the visible releases are bug fixes, plotting repairs and conformance work. A recurring thread is removing calls R no longer considers public — SET_TYPEOF in 0.14.0 and 0.14.1, then ATTRIB() and SET_ATTRIB() in 0.14.2. Feature additions are rare and small, the last cluster being open-ended time-of-day subsetting and na.fill performance in 0.13.0.
◆ Where it's heading
Two forces drive releases. R core keeps narrowing its public C API, and xts keeps rewriting internals to stay inside it; separately, ggplot-era changes elsewhere in the ecosystem surface plotting bugs that get fixed one report at a time. Nearly every entry credits an outside reporter, which is what maintenance of a dependency this widely used looks like.
◆ Prediction
Further C API conformance work is the safest expectation, since two consecutive releases have each removed a different non-API entry point and R has continued tightening that boundary.
Alternatives to constants and xts
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 constants or xts.
austraits
The R client for AusTraits spends its releases chasing the dataset it reads.
ggdemetra
A ggplot2 layer for seasonal adjustment output, filling in one plot type at a time.
fossilsim
A fossil-record simulator that quietly grew a trait-evolution engine.
tern.rbmi
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
tern.mmrm
An MMRM tabulation package that has published nothing since its 2024 CRAN releases.
See all constants alternatives → · See all xts alternatives →
Recent activity from constants and xts
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 5mo agoxtsmulti.panel plots beyond 8 columns; SET_TYPEOF removed from C
- 5mo agoxtsATTRIB removed from C; rollapply.xts accepts vector widths
- 2y agoxtsMulti-panel event lines; first SET_TYPEOF replacement
- 2y agoxtstclass changes now alter index values; log-scale y-axis added
- 3y agoxtsUpdate path for pre-0.12 objects missing index attributes
- 3y agoxtsOpen-ended time-of-day subsetting; fast scalar na.fill
- 5y agoconstantsCompatibility fix for units 0.7-0
- 5y agoconstantsconstants 1.0.0 ⚡
- 8y agoconstantsUnit handling fixes ahead of the 1.0.0 rebuild
Frequently asked questions
What is the difference between constants and xts?
They serve adjacent needs but don't currently overlap on shipped themes. constants and xts 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 constants better than xts?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. constants and xts 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.
What are the best alternatives to constants?
Top constants alternatives in Analytics are ranked by recent ship velocity. Browse the "constants alternatives" section above for the current picks, or visit /alternatives/constants-r for the full list with editorial commentary on each.
What are the best alternatives to xts?
Top xts alternatives in Analytics are ranked by recent ship velocity. Browse the "xts alternatives" section above for the current picks, or visit /alternatives/xts-r for the full list with editorial commentary on each.