← Back to home
Comparison · Analytics

constants vs glyfun

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

constants vs glyfun: at a glance

Featureconstantsglyfun
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesphysical-constants, codata, units, uncertainty-propagationglycomics, enrichment analysis, bioconductor, r packages
Last editorial update15h ago18m 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 glyfun?

glyfun is three releases old and has spent all of them chasing glyexp's container change.

glyfun is the newest glycoverse package, carved out to hold the enrichment analysis functions that glystats deprecated. Its entire visible history is the 0.1.x series, and all three releases are container plumbing: detected_universe() learning to accept GlycoproteomicSE, then the vignette and documentation following. There is no independent feature work in the record yet.

Read the full glyfun trajectory →

constants vs glyfun: 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
glyfun
ANALYTICS
0.0

glyfun is three releases old and has spent all of them chasing glyexp's container change.

◆ Current state

glyfun is the newest glycoverse package, carved out to hold the enrichment analysis functions that glystats deprecated. Its entire visible history is the 0.1.x series, and all three releases are container plumbing: detected_universe() learning to accept GlycoproteomicSE, then the vignette and documentation following. There is no independent feature work in the record yet.

◆ Where it's heading

This is a package being born into a migration rather than one navigating it. Because glystats removed its gly_enrich_*() functions outright and glysmith already routes enrichment through glyfun, the functional surface is inherited rather than designed here. The near-term arc is catching up to the rest of the stack; the interesting question is what glyfun adds once it is no longer just the relocation target.

◆ Prediction

Expect the first release with genuinely new enrichment capability rather than migration plumbing, most likely broadening the gene-set sources glystats never covered.

Alternatives to constants and glyfun

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 glyfun.

See all constants alternatives → · See all glyfun alternatives →

Recent activity from constants and glyfun

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

  1. 1mo agoglyfunDocs move to GlycoproteomicSE inputs
  2. 1mo agoglyfunVignette runs against both container types
  3. 1mo agoglyfundetected_universe() accepts GlycoproteomicSE objects
  4. 5y agoconstantsCompatibility fix for units 0.7-0
  5. 5y agoconstantsconstants 1.0.0
  6. 8y agoconstantsUnit handling fixes ahead of the 1.0.0 rebuild

Frequently asked questions

What is the difference between constants and glyfun?

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

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

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