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Comparison · Analytics
tulpa vs vellumwidget
A side-by-side editorial comparison of tulpa and vellumwidget — release velocity, themes, recent moves, and the top alternatives to consider.
tulpa vs vellumwidget: at a glance
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.
What is vellumwidget?
vellumwidget is dissolving its own API: interaction now lives in the plot spec, not the widget call.
vellumwidget compiles a vellum scene or a vellumplot plot into a self-contained client-side htmlwidget with hover, select, brush, lasso, pan/zoom and export, and no server round-trip. The two-way Shiny story is complete: interactions surface as reactive inputs keyed by output id, and vellumwidget_proxy() drives an already-rendered widget from the server without re-rendering it. The last two releases are fidelity work rather than new surface, calibrating hit-testing from the rendered positions of marks and rendering the raster base image at 2x for HiDPI screens.
tulpa vs vellumwidget: editorial side-by-side
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.
vellumwidget
6.3ANALYTICS
vellumwidget is dissolving its own API: interaction now lives in the plot spec, not the widget call.
◆ Current state
vellumwidget compiles a vellum scene or a vellumplot plot into a self-contained client-side htmlwidget with hover, select, brush, lasso, pan/zoom and export, and no server round-trip. The two-way Shiny story is complete: interactions surface as reactive inputs keyed by output id, and vellumwidget_proxy() drives an already-rendered widget from the server without re-rendering it. The last two releases are fidelity work rather than new surface, calibrating hit-testing from the rendered positions of marks and rendering the raster base image at 2x for HiDPI screens.
◆ Where it's heading
The direction is declarative. 0.7.0 removed the interaction-intent arguments from as_widget() outright, dropping the signature from roughly 36 arguments to 24 and moving highlight, filter and cross-filter into vellumplot's spec via select_point(), condition() and filter_by(). Each release since has enacted more of that compiled spec on the frozen scene, from conditional encodings to single-view filters to cross-view cross-filtering, leaving the widget as an interpreter of the plot rather than a configuration surface of its own. The bug fixes track the same theme the engine's do: measured geometry and rendered geometry must not drift.
◆ Prediction
The notes name the remaining hold-outs explicitly, saying hover_mode, crosshair, legend_click, select_mode and the tooltip-appearance arguments remain only until their spec equivalents land, so the next releases most likely move those into vellumplot and shrink as_widget() further. The scale binds flagged as following the filter work are the other stated next step.
Alternatives to tulpa and vellumwidget
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 tulpa or vellumwidget.
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 tulpa alternatives → · See all vellumwidget alternatives →
Recent activity from tulpa and vellumwidget
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
- 18d agovellumwidget2x raster base image for HiDPI, and exact element hit-testing
- 23d agovellumwidgetInteraction moves into the plot spec; as_widget() sheds a third of its arguments ⚡
- 1mo agovellumwidgetAxis-aware zoom re-ticks the axes instead of scaling the whole scene
- 1mo agovellumwidgetSelectable native SVG text, and crisp canvas redraw when zooming raster
- 1mo agovellumwidgetServer-side proxy drives a rendered widget without re-rendering it
- 1mo agovellumwidgetShiny input read-back, and keyboard plus screen-reader access by default
Frequently asked questions
What is the difference between tulpa and vellumwidget?
They serve adjacent needs but don't currently overlap on shipped themes. tulpa is currently shipping more aggressively (velocity 7.5 vs 6.3), with 2 editorial sparks in the last 30 days against 1. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is tulpa better than vellumwidget?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. tulpa is currently shipping more aggressively (velocity 7.5 vs 6.3), with 2 editorial sparks in the last 30 days against 1. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
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.
What are the best alternatives to vellumwidget?
Top vellumwidget alternatives in Analytics are ranked by recent ship velocity. Browse the "vellumwidget alternatives" section above for the current picks, or visit /alternatives/vellumwidget for the full list with editorial commentary on each.