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constants vs glyrepr

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

constants vs glyrepr: at a glance

Featureconstantsglyrepr
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesphysical-constants, codata, units, uncertainty-propagationglycomics, data-structures, type-system, r-packages
Last editorial update14h ago48m 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 glyrepr?

The type system the rest of the glycan stack is built on, being hardened one breaking change at a time.

glyrepr defines the vector types for glycan structures and compositions that every sibling package operates on, with names, NA values, resolution levels from basic through intact, and mapping helpers over structure vectors. Structures now convert to and from node and edge tibbles, low-level constructors support name-preserving construction from trusted graphs, and as_glycan_structure() can degrade element-local failures to NA with one aggregated warning instead of failing the whole vector. The monosaccharide table has been normalised so every entry has a generic form, and substituent support keeps widening.

Read the full glyrepr trajectory →

constants vs glyrepr: 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
glyrepr
ANALYTICS
2.5

The type system the rest of the glycan stack is built on, being hardened one breaking change at a time.

◆ Current state

glyrepr defines the vector types for glycan structures and compositions that every sibling package operates on, with names, NA values, resolution levels from basic through intact, and mapping helpers over structure vectors. Structures now convert to and from node and edge tibbles, low-level constructors support name-preserving construction from trusted graphs, and as_glycan_structure() can degrade element-local failures to NA with one aggregated warning instead of failing the whole vector. The monosaccharide table has been normalised so every entry has a generic form, and substituent support keeps widening.

◆ Where it's heading

This package sets the pace for the cohort, and its breaking changes show up as compatibility patches in glyanno, glyenzy and glymotif within days. The direction is toward behaving like a well-built vctrs type: 0.10.0 rewrote the internals to support names and NA properly, 0.11.0 made structure level a vector-wide scalar rather than a per-element value, and the recent releases keep making failure explicit rather than silent, with strict input checks and typed errors replacing quiet drops. Dependencies get shed as readily as features get added, with the parallel-mapping arguments and their furrr and future dependencies removed outright in 0.13.0.

◆ Prediction

The graph-table conversions added in 0.13.0 and the name-preserving low-level constructors in 0.14.0 both look like foundations for other packages to build structures programmatically, so expect that surface to firm up next. Given the cadence of breaking changes, a 1.0 that freezes the type semantics is the more consequential thing to watch for.

Alternatives to constants and glyrepr

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 glyrepr.

See all constants alternatives → · See all glyrepr alternatives →

Recent activity from constants and glyrepr

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

  1. 26d agoglyreprName-preserving construction from trusted graphs; partial-failure coercion
  2. 1mo agoglyreprStructures convert to and from graph tibbles; parallel mapping dropped
  3. 1mo agoglyreprFaster structure vector creation
  4. 3mo agoglyreprAnomeric position helpers for structures with missing detail
  5. 3mo agoglyreprStructure level becomes a vector-wide scalar; sialic acid shorthand parsed
  6. 6mo agoglyreprReplaces a deprecated dplyr call to silence warnings
  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 glyrepr?

They serve adjacent needs but don't currently overlap on shipped themes. glyrepr is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is constants better than glyrepr?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. glyrepr is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. 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 glyrepr?

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