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Comparison · Analytics
glyvis vs tulpa
A side-by-side editorial comparison of glyvis and tulpa — release velocity, themes, recent moves, and the top alternatives to consider.
glyvis vs tulpa: at a glance
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.
What is tulpa?
The 0.0.x train stops at CRAN: tulpa's engine ships to the ecosystem it already anchors.
tulpa is the C++/R Bayesian spatial inference engine sitting under gcol33's family of ecological occupancy packages, tagging 0.0.x releases several times a week. 0.1.0 is its first CRAN release, and the notes state outright that the engine surface is unchanged from 0.0.198 — the work is packaging discipline: local T bindings rebound to n_t/n_times, OpenMP teams capped under R CMD check, the pkgdown deploy narrowed, an aspell dictionary added. The window behind it splits between the S3 generics conversion and numerical-correctness work in the nested-Laplace grid.
glyvis vs tulpa: editorial side-by-side
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.
tulpa
7.5ANALYTICS
The 0.0.x train stops at CRAN: tulpa's engine ships to the ecosystem it already anchors.
◆ Current state
tulpa is the C++/R Bayesian spatial inference engine sitting under gcol33's family of ecological occupancy packages, tagging 0.0.x releases several times a week. 0.1.0 is its first CRAN release, and the notes state outright that the engine surface is unchanged from 0.0.198 — the work is packaging discipline: local T bindings rebound to n_t/n_times, OpenMP teams capped under R CMD check, the pkgdown deploy narrowed, an aspell dictionary added. The window behind it splits between the S3 generics conversion and numerical-correctness work in the nested-Laplace grid.
◆ Where it's heading
Two moves in nine days point at the same destination: the generics conversion made tulpa extensible by downstream packages, and CRAN admission makes it installable by them. The current cadence — several tags a week, some existing only to record a measurement that produced no code change — does not survive CRAN's submission overhead, so the release rhythm has to slow whether or not the project intends it. The correctness work still clusters on the joint nested-Laplace driver, and 0.1.0 extends the same diagnostics habit with .NL_AXIS_SD_REASONS, a closed vocabulary for an outer axis whose grid does not contain its own posterior mode.
◆ Prediction
Expect tulpaObs to follow tulpa onto CRAN, since it is the consumer whose registrations the engine has spent this window unblocking, and expect the version line to move in larger, less frequent steps now that each one carries a submission.
Alternatives to glyvis and tulpa
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 glyvis or tulpa.
Fulcrum
Fulcrum is betting its whole map stack on Esri, with a hard Google Maps cutoff on September 1.
Holistics
Holistics keeps fencing in the AI layer it spent the summer building.
Dovetail
Dovetail spent July opening doors to other tools and August making its own rooms easier to enter.
AgencyAnalytics
AgencyAI got skills three weeks ago; everything since has been making them routine.
NocoDB
Interfaces gets the permissions layer it needed, one release after launching.
See all glyvis alternatives → · See all tulpa alternatives →
Recent activity from glyvis and tulpa
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 18h agotulpaFirst CRAN release: engine surface unchanged from 0.0.198 ⚡
- 4d agotulpatulpa_re_aghq() exposes the mode/theta cross-Hessian
- 8d agotulpaDense batched joint path could silently drop a grid cell
- 8d agotulpaCalibration and goodness-of-fit entry points become S3 generics ⚡
- 9d agotulpaCUDA backend had two definitions; link order decided if it ran
- 9d agotulpaHyperparameter bounds now flag when they leave the node range
- 1mo agoglyvisDocs recommend the new SE containers
- 1mo agoglyvisplot_logo() detects glycoproteomics across both containers
- 1mo agoglyvisPlots accept SummarizedExperiment; enrichment plots removed
- 3mo agoglyvisStale WGCNA and clustering autoplot methods removed
- 6mo agoglyvisDependencies move to the r-universe repository
- 7mo agoglyvisplot_logo() fetches UniProt sequences automatically
Frequently asked questions
What is the difference between glyvis and tulpa?
They serve adjacent needs but don't currently overlap on shipped themes. tulpa is currently shipping more aggressively (velocity 7.5 vs 0.0), with 2 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 glyvis better than tulpa?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. tulpa is currently shipping more aggressively (velocity 7.5 vs 0.0), with 2 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 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.
What are the best alternatives to tulpa?
Top tulpa alternatives in Analytics are ranked by recent ship velocity. Browse the "tulpa alternatives" section above for the current picks, or visit /alternatives/tulpa for the full list with editorial commentary on each.