distributions3
distributions3 0.3.0 adds sample-based distributions and likelihood derivatives
A side-by-side editorial comparison of Survicate and tulpa — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | Survicate | tulpa |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 3.8 | 7.5 |
| Sparks · 30d | 0 | 2 |
| Top themes | customer-research, feedback-platform, ai-insights, research-hub | bayesian-inference, cran-release, r-packages, spatial-modeling |
| Last editorial update | 2mo ago | 13h ago |
| Website | — | Visit → |
Survicate pivots from survey tool to AI-native research platform with Research Hub.
On May 22, 2026, Survicate replaced Insights Hub with Research Hub — a project-based workspace that connects surveys, support tickets, call transcripts, app reviews, and 15+ other feedback sources, producing stakeholder-ready AI-generated reports where every claim links back to the exact feedback it came from. A Research Assistant grounded in the project's own sources handles follow-ups; insights surface and are tracked over time. The prior months show steady survey-craft improvements: in-survey language selectors (March), custom fonts (March), response attributes (March), light/dark theme support (Feb), team-invite role bundling (Feb), and an alternative CSAT calculation (Feb).
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.
On May 22, 2026, Survicate replaced Insights Hub with Research Hub — a project-based workspace that connects surveys, support tickets, call transcripts, app reviews, and 15+ other feedback sources, producing stakeholder-ready AI-generated reports where every claim links back to the exact feedback it came from. A Research Assistant grounded in the project's own sources handles follow-ups; insights surface and are tracked over time. The prior months show steady survey-craft improvements: in-survey language selectors (March), custom fonts (March), response attributes (March), light/dark theme support (Feb), team-invite role bundling (Feb), and an alternative CSAT calculation (Feb).
The directional move is clear — from "survey tool" to AI-native research platform. The earlier Research Assistant work in January and February was the stepping stone; Research Hub is the destination, and the rebrand from Insights Hub signals the team treating this as a category move, not a feature add. Survey-builder work continues but now reads as table-stakes maintenance underneath the new platform layer.
Expect Research Hub to grow new source integrations (sales-call platforms, support systems beyond ticket text) and pre-built templates for common B2B-SaaS research patterns — churn analysis, win/loss, NPS driver mining. Deeper report sharing and distribution would put Survicate directly in Dovetail and Sprig's path.
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.
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.
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.
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 Survicate or tulpa.
distributions3 0.3.0 adds sample-based distributions and likelihood derivatives
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Fulcrum is betting its whole map stack on Esri, with a hard Google Maps cutoff on September 1.
Holistics keeps fencing in the AI layer it spent the summer building.
See all Survicate alternatives → · See all tulpa alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. tulpa is currently shipping more aggressively (velocity 7.5 vs 3.8), 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. tulpa is currently shipping more aggressively (velocity 7.5 vs 3.8), 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.
Top Survicate alternatives in Analytics are ranked by recent ship velocity. Browse the "Survicate alternatives" section above for the current picks, or visit /alternatives/survicate for the full list with editorial commentary on each.
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.