gps2gtfs
gps2gtfs spent a release making its docs stop describing functions it does not have.
Comparison · Analytics
forrel vs glymotif
A side-by-side editorial comparison of forrel and glymotif — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:performance
forrel vs glymotif: at a glance
What is forrel?
forrel is getting faster at the simulations forensic kinship work actually spends its time on.
forrel handles forensic pedigree analysis: kinship likelihood ratios, profile simulation, relationship checking, and missing person calculations. Version 1.9.0 synced with pedtools 2.11.0's loop handling, which the release notes credit with enabling complex pedigrees that were previously intractable, and moved profileSim() to mirai for parallelism. It also added fEstimate() for inbreeding coefficients and parentChildLikelihood() as a fast path for the simplest case.
What is glymotif?
A glycan motif matcher trading convenience wrappers for speed, strictness and explicit specs.
glymotif detects and counts structural motifs in glycans, over a built-in motif database or user-supplied structures, with fuzzy modification matching and alignment control. Database motifs are now requested through a db_motifs_spec object carrying their own matching parameters rather than as a name vector with loose arguments, and db_motif_info() exposes the built-in set as an inspectable tibble. A lenient mode lets lower-information glycans match more specific motifs while concrete mismatches still fail, and low-level entry points work directly on igraph objects for other package authors.
forrel vs glymotif: editorial side-by-side
forrel
0.0ANALYTICS
forrel is getting faster at the simulations forensic kinship work actually spends its time on.
◆ Current state
forrel handles forensic pedigree analysis: kinship likelihood ratios, profile simulation, relationship checking, and missing person calculations. Version 1.9.0 synced with pedtools 2.11.0's loop handling, which the release notes credit with enabling complex pedigrees that were previously intractable, and moved profileSim() to mirai for parallelism. It also added fEstimate() for inbreeding coefficients and parentChildLikelihood() as a fast path for the simplest case.
◆ Where it's heading
Two long threads run through the window. One is making the common operations cheap: faster simulations through reorganized likelihood calculations, a dedicated parent-child path, dropped map attribute preservation, log-likelihoods to avoid underflow in kinshipLR(). The other is making relationship checking presentable, with checkPairwise() growing ggplot2 and plotly output, verbal relationship descriptions, and bootstrap p-values. Reference data is maintained alongside both, with the FORCE SNP panel completed and an X-chromosomal counterpart added.
◆ Prediction
With profileSim() on mirai and the loop handling synced, the next likely step is extending mirai parallelism to the other simulation-heavy functions such as exclusionPower() and the bootstrap in checkPairwise().
glymotif
2.5ANALYTICS
A glycan motif matcher trading convenience wrappers for speed, strictness and explicit specs.
◆ Current state
glymotif detects and counts structural motifs in glycans, over a built-in motif database or user-supplied structures, with fuzzy modification matching and alignment control. Database motifs are now requested through a db_motifs_spec object carrying their own matching parameters rather than as a name vector with loose arguments, and db_motif_info() exposes the built-in set as an inspectable tibble. A lenient mode lets lower-information glycans match more specific motifs while concrete mismatches still fail, and low-level entry points work directly on igraph objects for other package authors.
◆ Where it's heading
Performance has been a recurring line item across at least four releases, culminating in optimised graph searches and candidate filtering aimed at batch analyses, which points at the real workload being whole experiments rather than single glycans. The API has moved the other way from convenience toward explicitness: the add_motifs_lgl() and add_motifs_int() wrappers are deprecated in favour of composing with dplyr or glyexp verbs, optional arguments must now be named, and loose matching parameters were folded into the spec object. Documentation is being steered toward the cohort's newer container types, so this package is following a coordinated migration rather than setting its own course.
◆ Prediction
With the deprecated annotation wrappers on their way out and documentation already pointing at the replacement verbs, their removal is the likely next breaking change. The lenient matching mode is new enough that its boundary against concrete mismatches will probably need tuning as users apply it to real, partially resolved data.
Alternatives to forrel and glymotif
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 forrel or glymotif.
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.
pedFamilias
pedFamilias exists to read one legacy file format, and it has that job nearly finished.
pedmut
pedmut turns awkward mutation models into ones the likelihood engine can actually handle.
See all forrel alternatives → · See all glymotif alternatives →
Recent activity from forrel and glymotif
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 29d agoglymotifOptimised graph search cuts batch matching time; missing N-glycan core now warns
- 1mo agoglymotifDocs point at the new container types and replacement verbs
- 1mo agoglymotifExamples run against both legacy and current containers
- 1mo agoglymotifLenient matching for lower-information glycans; annotation wrappers deprecated
- 1mo agoforrelmirai parallelism and faster profile simulation
- 1mo agoglymotifEmpty glycans handled in motif matching
- 1mo agoglymotifDatabase motifs become a spec object carrying their own parameters
- 1y agoforrelFORCE SNP panel completed and X-chromosomal set added
- 1y agoforrelrankProfiles() and access to special lumping
- 1y agoforrelacrossComps argument and readFam() unexported
- 1y agoforrelcheckPairwise() overhauled with p-values and new plot backends
- 2y agoforrelFamilias interoperability split into pedFamilias
Frequently asked questions
What is the difference between forrel and glymotif?
Both compete on the same themes — performance — within Analytics. glymotif 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 forrel better than glymotif?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. glymotif 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 forrel?
Top forrel alternatives in Analytics are ranked by recent ship velocity. Browse the "forrel alternatives" section above for the current picks, or visit /alternatives/forrel for the full list with editorial commentary on each.
What are the best alternatives to glymotif?
Top glymotif alternatives in Analytics are ranked by recent ship velocity. Browse the "glymotif alternatives" section above for the current picks, or visit /alternatives/glymotif for the full list with editorial commentary on each.