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deeptime vs tulpa

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

deeptime vs tulpa: at a glance

Featuredeeptimetulpa
SectorAnalyticsAnalytics
Velocity score0.07.5
Sparks · 30d02
Top themesggplot2-extension, geology, phylogenetics, deprecationbayesian-inference, cran-release, r-packages, spatial-modeling
Last editorial update4d ago8h ago
WebsiteVisit →Visit →

What is deeptime?

A geologic-time plotting layer that outgrew time axes and became a geology rendering toolkit.

deeptime extends ggplot2 with geological time scales, radial deep-time coordinates and phylogeny-aware geoms, and since 2.0.0 it also renders standardized FGDC/USGS geologic patterns as ggplot2 fills. The current 2.4.0 release adds geom_text_clade() for labeling clades on radial phylogenies and repairs long-standing coord_trans_xy() and scale-placement edge cases.

Read the full deeptime trajectory →

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 →

deeptime vs tulpa: editorial side-by-side

D
deeptime
ANALYTICS
0.0

A geologic-time plotting layer that outgrew time axes and became a geology rendering toolkit.

◆ Current state

deeptime extends ggplot2 with geological time scales, radial deep-time coordinates and phylogeny-aware geoms, and since 2.0.0 it also renders standardized FGDC/USGS geologic patterns as ggplot2 fills. The current 2.4.0 release adds geom_text_clade() for labeling clades on radial phylogenies and repairs long-standing coord_trans_xy() and scale-placement edge cases.

◆ Where it's heading

The package is converging on two jobs: being the canonical R renderer for stratigraphic drawing conventions, and keeping pace with ggplot2's own churn. A sustained deprecation program — gggeo_scale(), coord_geo_polar(), getScaleData(), now disparity_through_time() — is trimming the surface down to coord_geo(), coord_geo_radial() and the pattern functions. Roughly half of each recent release is ggplot2 4.0 compatibility work.

◆ Prediction

Expect disparity_through_time() and coord_geo_polar() to be removed outright in the next major version, and further geoms aimed at annotating radial phylogenies.

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.

Alternatives to deeptime 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 deeptime or tulpa.

See all deeptime alternatives → · See all tulpa alternatives →

Recent activity from deeptime and tulpa

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

  1. 17h agotulpaFirst CRAN release: engine surface unchanged from 0.0.198
  2. 4d agotulpatulpa_re_aghq() exposes the mode/theta cross-Hessian
  3. 8d agotulpaDense batched joint path could silently drop a grid cell
  4. 8d agotulpaCalibration and goodness-of-fit entry points become S3 generics
  5. 9d agotulpaCUDA backend had two definitions; link order decided if it ran
  6. 9d agotulpaHyperparameter bounds now flag when they leave the node range
  7. 1mo agodeeptimegeom_text_clade() labels clades on radial phylogenies
  8. 8mo agodeeptimeArgument renames for ggplot2 4.0 parity
  9. 9mo agodeeptimePattern code dictionary and time-scale theming
  10. 1y agodeeptimegeom_text_phylo() arrives with ggplot2 4 compatibility
  11. 1y agodeeptimeContrast-aware label colors across the built-in scales
  12. 2y agodeeptimeFGDC geologic patterns become ggplot2 fills

Frequently asked questions

What is the difference between deeptime 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 deeptime 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 deeptime?

Top deeptime alternatives in Analytics are ranked by recent ship velocity. Browse the "deeptime alternatives" section above for the current picks, or visit /alternatives/deeptime-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.