gps2gtfs
gps2gtfs spent a release making its docs stop describing functions it does not have.
Comparison · Analytics
forrel vs glyvis
A side-by-side editorial comparison of forrel and glyvis — release velocity, themes, recent moves, and the top alternatives to consider.
forrel vs glyvis: 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 glyvis?
glyvis keeps losing plot functions as the packages behind them get reorganized.
glyvis is the plotting layer for glycoverse results. Its recent releases are dominated by two forces it does not control: glyexp's container migration, which it absorbed in 0.7.0 by accepting SummarizedExperiment inputs, and glystats' function removals, which cost it first the WGCNA and consensus-clustering autoplot methods and then the entire enrichment plotting surface. Its own additions in the window are narrow, mostly label handling and NA robustness.
forrel vs glyvis: 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().
glyvis
0.0ANALYTICS
glyvis keeps losing plot functions as the packages behind them get reorganized.
◆ Current state
glyvis is the plotting layer for glycoverse results. Its recent releases are dominated by two forces it does not control: glyexp's container migration, which it absorbed in 0.7.0 by accepting SummarizedExperiment inputs, and glystats' function removals, which cost it first the WGCNA and consensus-clustering autoplot methods and then the entire enrichment plotting surface. Its own additions in the window are narrow, mostly label handling and NA robustness.
◆ Where it's heading
The package is being pruned from upstream rather than expanded from within. Every breaking change in the last four releases is a removal triggered by a sibling package dropping the function that produced the object being plotted. With enrichment now living in glyfun, the plotting for it has to be rebuilt somewhere, and glyvis is the obvious home.
◆ Prediction
Expect enrichment plotting to return once glyfun's result objects stabilize, since the visualizations were removed for want of an upstream producer rather than because users stopped needing them.
Alternatives to forrel and glyvis
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 glyvis.
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 glyvis alternatives →
Recent activity from forrel and glyvis
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agoglyvisDocs recommend the new SE containers
- 1mo agoglyvisplot_logo() detects glycoproteomics across both containers
- 1mo agoglyvisPlots accept SummarizedExperiment; enrichment plots removed
- 1mo agoforrelmirai parallelism and faster profile simulation
- 3mo agoglyvisStale WGCNA and clustering autoplot methods removed
- 6mo agoglyvisDependencies move to the r-universe repository
- 7mo agoglyvisplot_logo() fetches UniProt sequences automatically
- 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 glyvis?
They serve adjacent needs but don't currently overlap on shipped themes. forrel and glyvis 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 forrel better than glyvis?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. forrel and glyvis 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 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 glyvis?
Top glyvis alternatives in Analytics are ranked by recent ship velocity. Browse the "glyvis alternatives" section above for the current picks, or visit /alternatives/glyvis for the full list with editorial commentary on each.