← Back to home
Comparison · Analytics

constants vs glyexp

A side-by-side editorial comparison of constants and glyexp — release velocity, themes, recent moves, and the top alternatives to consider.

constants vs glyexp: at a glance

Featureconstantsglyexp
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesphysical-constants, codata, units, uncertainty-propagationglycomics, bioconductor, data containers, breaking changes
Last editorial update15h ago14m ago
WebsiteVisit →Visit →

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.

Read the full constants trajectory →

What is glyexp?

glyexp is retiring its own data container and handing the job to Bioconductor.

glyexp is the container layer under the glycoverse stack, and it just changed what that container is. Versions 0.15.0 and 0.16.0 introduced GlycomicSE and GlycoproteomicSE as SummarizedExperiment subclasses, taught the dplyr-style verbs to operate on them, and then deprecated the legacy experiment() constructor and its accessors. Earlier releases in the window were narrower: as_pseudo_glycome(), a magrittr-free rewrite, and an offline standardize_variable().

Read the full glyexp trajectory →

constants vs glyexp: editorial side-by-side

C
constants
ANALYTICS
0.0

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.

G
glyexp
ANALYTICS
0.0

glyexp is retiring its own data container and handing the job to Bioconductor.

◆ Current state

glyexp is the container layer under the glycoverse stack, and it just changed what that container is. Versions 0.15.0 and 0.16.0 introduced GlycomicSE and GlycoproteomicSE as SummarizedExperiment subclasses, taught the dplyr-style verbs to operate on them, and then deprecated the legacy experiment() constructor and its accessors. Earlier releases in the window were narrower: as_pseudo_glycome(), a magrittr-free rewrite, and an offline standardize_variable().

◆ Where it's heading

The package is moving from a bespoke object model to the Bioconductor one, and doing it in explicitly numbered stages tracked in a single issue (glyexp#15). Stage I added the subclasses as experimental; Stage II deprecated the old container and pushed the migration through ten sibling packages within days. The tidy manipulation verbs are being kept as the compatibility bridge, which suggests the dplyr surface is what the maintainer considers glyexp's actual contribution once the container is someone else's.

◆ Prediction

Expect a Stage III release that removes the deprecated experiment() constructor and accessors outright, leaving GlycomicSE and GlycoproteomicSE as the only supported containers.

Alternatives to constants and glyexp

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 glyexp.

See all constants alternatives → · See all glyexp alternatives →

Recent activity from constants and glyexp

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 1mo agoglyexpglyexp deprecates its own container for SummarizedExperiment
  2. 1mo agoglyexpExperimental GlycomicSE and GlycoproteomicSE containers land
  3. 1mo agoglyexpfrom_se() metadata fixes and dataset refresh
  4. 4mo agoglyexpfilter_obs() and filter_var() drop unused factor levels
  5. 4mo agoglyexpas_pseudo_glycome() converts glycoproteomics to glycomics
  6. 5mo agoglyexpstandardize_variable() drops its UniProt network dependency
  7. 5y agoconstantsCompatibility fix for units 0.7-0
  8. 5y agoconstantsconstants 1.0.0
  9. 8y agoconstantsUnit handling fixes ahead of the 1.0.0 rebuild

Frequently asked questions

What is the difference between constants and glyexp?

They serve adjacent needs but don't currently overlap on shipped themes. constants and glyexp 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 glyexp?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. constants and glyexp 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 glyexp?

Top glyexp alternatives in Analytics are ranked by recent ship velocity. Browse the "glyexp alternatives" section above for the current picks, or visit /alternatives/glyexp for the full list with editorial commentary on each.