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Comparison · Analytics

tulpa vs Whatagraph

A side-by-side editorial comparison of tulpa and Whatagraph — release velocity, themes, recent moves, and the top alternatives to consider.

tulpa vs Whatagraph: at a glance

FeaturetulpaWhatagraph
SectorAnalyticsAnalytics
Velocity score7.55.0
Sparks · 30d20
Top themesbayesian-inference, cran-release, r-packages, spatial-modelingreporting, agencies, integrations, reliability
Last editorial update17h ago36m ago
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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.

Read the full tulpa trajectory →

What is Whatagraph?

Whatagraph keeps fixing what breaks when one account runs a thousand sources.

Whatagraph is working on the parts of agency reporting that break under volume rather than on new analysis capability. Stored data removed live API calls from render time in the Basis rebuild, connection failover keeps widgets alive when one teammate's token expires, and report shortcuts let a heavy report be split into a hub with supporting detail. Presentation control arrives steadily alongside — automatic conditional formatting, per-metric decimal places, chosen comparison colors. The newest change moves unified-field mapping into the Source Group builder, so a cross-channel group can be fixed in place instead of rebuilt.

Read the full Whatagraph trajectory →

tulpa vs Whatagraph: editorial side-by-side

T
tulpa
ANALYTICS
7.5

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.

W
Whatagraph
ANALYTICS
5.0

Whatagraph keeps fixing what breaks when one account runs a thousand sources.

◆ Current state

Whatagraph is working on the parts of agency reporting that break under volume rather than on new analysis capability. Stored data removed live API calls from render time in the Basis rebuild, connection failover keeps widgets alive when one teammate's token expires, and report shortcuts let a heavy report be split into a hub with supporting detail. Presentation control arrives steadily alongside — automatic conditional formatting, per-metric decimal places, chosen comparison colors. The newest change moves unified-field mapping into the Source Group builder, so a cross-channel group can be fixed in place instead of rebuilt.

◆ Where it's heading

The through-line is reliability and workflow cost at agency scale, where one account runs hundreds or thousands of sources across several people. Each release picks a specific moment where that scale used to force a detour — a dead token, a forty-widget report, a half-built source group — and removes the detour rather than adding a capability. Integration work stays additive and named: Ahrefs Rank Tracker, WhatConverts, Snowflake, bol., each filling a stated reporting gap rather than broadening a connector catalog.

◆ Prediction

Expect the same volume-driven treatment applied to the remaining multi-step setup flows, and further integrations chosen to close named gaps rather than to grow the connector count.

Alternatives to tulpa and Whatagraph

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 Whatagraph.

See all tulpa alternatives → · See all Whatagraph alternatives →

Recent activity from tulpa and Whatagraph

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 19h agoWhatagraphUnify metrics and dimensions while creating a Source Group
  2. 1d agotulpaFirst CRAN release: engine surface unchanged from 0.0.198
  3. 4d agotulpatulpa_re_aghq() exposes the mode/theta cross-Hessian
  4. 7d agoWhatagraphTurn your report into client portal with Report shortcuts
  5. 8d agotulpaDense batched joint path could silently drop a grid cell
  6. 9d agotulpaCalibration and goodness-of-fit entry points become S3 generics
  7. 9d agotulpaCUDA backend had two definitions; link order decided if it ran
  8. 9d agotulpaHyperparameter bounds now flag when they leave the node range
  9. 21d agoWhatagraphOne broken connection won't break your reports
  10. 21d agoWhatagraphClearer charts and tables, and a faster way to find the right template
  11. 27d agoWhatagraphTrack your keywords against competitors with Ahrefs Rank Tracker
  12. 1mo agoWhatagraphBasis rebuilt: faster data, cleaner numbers, per-client sources

Frequently asked questions

What is the difference between tulpa and Whatagraph?

They serve adjacent needs but don't currently overlap on shipped themes. tulpa is currently shipping more aggressively (velocity 7.5 vs 5.0), 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 tulpa better than Whatagraph?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. tulpa is currently shipping more aggressively (velocity 7.5 vs 5.0), 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 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 Whatagraph?

Top Whatagraph alternatives in Analytics are ranked by recent ship velocity. Browse the "Whatagraph alternatives" section above for the current picks, or visit /alternatives/whatagraph for the full list with editorial commentary on each.