gps2gtfs
gps2gtfs spent a release making its docs stop describing functions it does not have.
Comparison · Analytics
glyfun vs pedFamilias
A side-by-side editorial comparison of glyfun and pedFamilias — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r packages
glyfun vs pedFamilias: at a glance
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.
What is pedFamilias?
pedFamilias exists to read one legacy file format, and it has that job nearly finished.
pedFamilias holds the Familias file interoperability code that was split out of forrel, principally readFam() and writeFam(). The visible history is short and narrow: URL paths accepted as input, a deduplicate option for files produced by the Familias DVI module, better handling of extra individuals, and a fallback mutation model when stabilization fails. The most recent release is explicitly maintenance.
glyfun vs pedFamilias: editorial side-by-side
glyfun
0.0ANALYTICS
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.
pedFamilias
0.0ANALYTICS
pedFamilias exists to read one legacy file format, and it has that job nearly finished.
◆ Current state
pedFamilias holds the Familias file interoperability code that was split out of forrel, principally readFam() and writeFam(). The visible history is short and narrow: URL paths accepted as input, a deduplicate option for files produced by the Familias DVI module, better handling of extra individuals, and a fallback mutation model when stabilization fails. The most recent release is explicitly maintenance.
◆ Where it's heading
This is a package with a bounded remit. The format it parses does not change, so releases arrive only when someone encounters a file it mishandles, and the fixes are correspondingly specific. The interesting movement is upstream instead: forrel finally removed its deprecated readFam() re-export in 1.9.0, completing the split that created this package.
◆ Prediction
Expect continued low-frequency maintenance driven by real-world .fam files rather than any planned feature work.
Alternatives to glyfun and pedFamilias
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 glyfun or pedFamilias.
ducksemantics
ducksemantics puts an ontology graph and ColBERT retrieval inside DuckDB, callable from R.
dvir
dvir keeps making disaster victim identification a single call instead of a workflow.
pedbuildr
pedbuildr reconstructs pedigrees from DNA, and it just got much faster at the search.
forrel
forrel is getting faster at the simulations forensic kinship work actually spends its time on.
pedmut
pedmut turns awkward mutation models into ones the likelihood engine can actually handle.
See all glyfun alternatives → · See all pedFamilias alternatives →
Recent activity from glyfun and pedFamilias
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agoglyfunDocs move to GlycoproteomicSE inputs
- 1mo agoglyfunVignette runs against both container types
- 1mo agoglyfundetected_universe() accepts GlycoproteomicSE objects
- 2mo agopedFamiliasMaintenance release
- 1y agopedFamiliasreadFam() accepts URLs
- 2y agopedFamiliasExtra-individual parsing and mutation model fallback
- 2y agopedFamiliasdeduplicate option for Familias DVI files
Frequently asked questions
What is the difference between glyfun and pedFamilias?
Both compete on the same themes — r packages — within Analytics. glyfun and pedFamilias 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 glyfun better than pedFamilias?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. glyfun and pedFamilias 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 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.
What are the best alternatives to pedFamilias?
Top pedFamilias alternatives in Analytics are ranked by recent ship velocity. Browse the "pedFamilias alternatives" section above for the current picks, or visit /alternatives/pedfamilias for the full list with editorial commentary on each.