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Comparison · Analytics

rasterpic vs timbr

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

Shared themes:r

rasterpic vs timbr: at a glance

Featurerasterpictimbr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr, geospatial, raster, terrar, data structures, dplyr, tree data
Last editorial update34m ago34m ago
WebsiteVisit →Visit →

What is rasterpic?

rasterpic became an S3 generic and picked up stars support; the rest is upkeep

rasterpic georeferences ordinary images onto spatial objects, producing terra SpatRasters that can be plotted as basemaps or overlays. The package is small and its job is narrow. The meaningful recent change is 0.5.0, which turned rasterpic_img() into an S3 generic with methods per input class and added support for stars objects alongside sf and terra.

Read the full rasterpic trajectory →

What is timbr?

Three years dormant, timbr returns with dplyr verbs that finally respect tree structure

timbr provides a 'forest' class for nested tree data in R, letting users navigate parent/child relationships with tidyverse-style verbs. After its last release in May 2023, the package sat untouched for over three years before 0.3.0 landed in July 2026. That release is dominated by correctness work on the structural invariants that everything else depends on.

Read the full timbr trajectory →

rasterpic vs timbr: editorial side-by-side

R
rasterpic
ANALYTICS
0.0

rasterpic became an S3 generic and picked up stars support; the rest is upkeep

◆ Current state

rasterpic georeferences ordinary images onto spatial objects, producing terra SpatRasters that can be plotted as basemaps or overlays. The package is small and its job is narrow. The meaningful recent change is 0.5.0, which turned rasterpic_img() into an S3 generic with methods per input class and added support for stars objects alongside sf and terra.

◆ Where it's heading

The direction is broader input-class coverage inside the same single-function design, and tighter integration with the plotting ecosystem downstream. 0.3.0 renamed output layers to r/g/b/alpha specifically to stay compatible with tmap 4.0; 0.5.1 restored the RGB specification on masked and inverted output after it regressed, and moved errors and warnings to cli formatting. Releases are frequent but small.

◆ Prediction

With the generic in place, adding further input classes is now cheap, so that is the likely direction. The 0.5.1 regression on mask/inverse output suggests the RGB-specification path is the fragile part worth watching.

T
timbr
ANALYTICS
0.0

Three years dormant, timbr returns with dplyr verbs that finally respect tree structure

◆ Current state

timbr provides a 'forest' class for nested tree data in R, letting users navigate parent/child relationships with tidyverse-style verbs. After its last release in May 2023, the package sat untouched for over three years before 0.3.0 landed in July 2026. That release is dominated by correctness work on the structural invariants that everything else depends on.

◆ Where it's heading

The arc is from a working prototype toward a class that behaves correctly under the full dplyr surface. 0.3.0 implements relocate(), rows_patch() and rows_update() for forests and makes select() always preserve the internal node column, closing the gaps where a standard verb would silently break the tree. The deprecation of map_forest() in favour of traverse(), begun in 0.2.2, is now complete.

◆ Prediction

With the verb coverage gaps closed and the long deprecation cycle finished, the next release is likely to extend dplyr method coverage further rather than change the forest model. The entries do not indicate what prompted the three-year gap, so the sustainability of this cadence is unclear.

Alternatives to rasterpic and timbr

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 rasterpic or timbr.

See all rasterpic alternatives → · See all timbr alternatives →

Recent activity from rasterpic and timbr

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

  1. 1mo agotimbrForests gain relocate/rows_patch/rows_update; map_forest now defunct
  2. 1mo agorasterpiccli-formatted messages; RGB specification restored for masked output
  3. 2mo agorasterpicrasterpic_img() becomes an S3 generic with stars support
  4. 4mo agorasterpicVignettes migrated to Quarto
  5. 7mo agorasterpicNew logo; minimum R raised to 4.1.0
  6. 1y agorasterpicOutput layers renamed r/g/b/alpha for tmap 4.0 compatibility
  7. 1y agorasterpicOutput declared as RGB raster; unused dependencies removed
  8. 3y agotimbrmap_forest() renamed to traverse() and deprecated
  9. 3y agotimbrArgument rename in rowwise.forest() and CRAN check fixes
  10. 3y agotimbrForest headers now print the tree structure

Frequently asked questions

What is the difference between rasterpic and timbr?

Both compete on the same themes — r — within Analytics. rasterpic and timbr are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is rasterpic better than timbr?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. rasterpic and timbr are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to rasterpic?

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

What are the best alternatives to timbr?

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