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Comparison · Analytics
ArchR vs tulpa
A side-by-side editorial comparison of ArchR and tulpa — release velocity, themes, recent moves, and the top alternatives to consider.
ArchR vs tulpa: at a glance
What is ArchR?
ArchR returns after three years, mostly to catch up with the ecosystem around it.
ArchR analyses single-cell chromatin accessibility data, and until early 2025 its last release was from 2022. Release 1.0.3 collects roughly three years of accumulated pull requests: ggplot2 3.5 compatibility, Seurat v5 object creation, large-matrix handling via ARMA_64BIT_WORD, trajectory and module-score work, and a published Docker image. The release candidate before it did nothing but lift a 500 MB import ceiling.
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.
ArchR vs tulpa: editorial side-by-side
ArchR
0.0ANALYTICS
ArchR returns after three years, mostly to catch up with the ecosystem around it.
◆ Current state
ArchR analyses single-cell chromatin accessibility data, and until early 2025 its last release was from 2022. Release 1.0.3 collects roughly three years of accumulated pull requests: ggplot2 3.5 compatibility, Seurat v5 object creation, large-matrix handling via ARMA_64BIT_WORD, trajectory and module-score work, and a published Docker image. The release candidate before it did nothing but lift a 500 MB import ceiling.
◆ Where it's heading
This is a maintenance restart rather than a new direction. The contributor list shifts visibly from the original authors toward newer maintainers handling compatibility work, and the Docker image suggests an acknowledgement that reproducing the environment had become the harder problem. Whether the cadence recovers is not something these entries answer.
◆ Prediction
The entries do not support a confident call on future direction; the immediate question is whether releases resume at a normal interval or 1.0.3 was a one-off catch-up.
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 ArchR 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 ArchR 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.
Recent activity from ArchR 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
- 1y agoArchRThree years of fixes, Seurat v5 support and a Docker image
- 1y agoArchRRelease candidate lifting the 500 MB S4 import limit
- 4y agoArchRStability fixes and improved multiome import
- 5y agoArchRIntroduces multi-omic functionality
Frequently asked questions
What is the difference between ArchR 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 ArchR 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 ArchR?
Top ArchR alternatives in Analytics are ranked by recent ship velocity. Browse the "ArchR alternatives" section above for the current picks, or visit /alternatives/archr-r 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.