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errors vs tmap

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

errors vs tmap: at a glance

Featureerrorstmap
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesuncertainty-propagation, measurement, r-quantities, formattingthematic-mapping, spatial-data, ggplot-alternative, extensibility
Last editorial update1h ago7h ago
WebsiteVisit →Visit →

What is errors?

errors keeps making uncertainty print the way each scientific field expects.

errors attaches uncertainty to numeric vectors and propagates it automatically through arithmetic, as part of the r-quantities family alongside units. The propagation core is settled; recent releases concentrate on presentation and integration — PDG rounding rules in 0.4.2, decimal support in parenthesis notation in 0.4.3, and ggplot2 deprecation tracking in 0.4.1 and 0.4.4.

Read the full errors trajectory →

What is tmap?

Two years after a from-scratch rewrite, tmap is filling in the layers v4 promised.

tmap draws thematic maps in R across static and interactive modes. The 4.0 rewrite replaced the layer syntax with explicit visual variables, scales, legends and charts, and opened the package to extensions; the 4.x line since has been steady capability fill-in. The 4.4 release adds tm_circles with fixed unit-based radii, a blend argument on every layer, and hitboxes so small objects stay clickable in view mode.

Read the full tmap trajectory →

errors vs tmap: editorial side-by-side

E
errors
ANALYTICS
0.0

errors keeps making uncertainty print the way each scientific field expects.

◆ Current state

errors attaches uncertainty to numeric vectors and propagates it automatically through arithmetic, as part of the r-quantities family alongside units. The propagation core is settled; recent releases concentrate on presentation and integration — PDG rounding rules in 0.4.2, decimal support in parenthesis notation in 0.4.3, and ggplot2 deprecation tracking in 0.4.1 and 0.4.4.

◆ Where it's heading

Two threads run through this history. One is formatting convergence: uncertainty has field-specific conventions, and the package has been absorbing them one contributed pull request at a time rather than imposing a single style. The other is keeping the errors class first-class everywhere R users work — vctrs methods for dplyr 1.0, a geom_errors() layer for ggplot2, missing-value and duplicate handling. Both are integration work, which is what a type-extension package mostly is.

◆ Prediction

Expect further formatting conventions to arrive as contributions, following PDG rounding and the decimals option, plus continued upkeep against ggplot2 aesthetic deprecations that have forced two of the last four releases.

T
tmap
ANALYTICS
0.0

Two years after a from-scratch rewrite, tmap is filling in the layers v4 promised.

◆ Current state

tmap draws thematic maps in R across static and interactive modes. The 4.0 rewrite replaced the layer syntax with explicit visual variables, scales, legends and charts, and opened the package to extensions; the 4.x line since has been steady capability fill-in. The 4.4 release adds tm_circles with fixed unit-based radii, a blend argument on every layer, and hitboxes so small objects stay clickable in view mode.

◆ Where it's heading

The extension mechanism introduced in 4.0 is where the interesting work is migrating: PMTiles support arrived through a separate experimental tmap.sources package, mode cycling became configurable via tmap_mode_pool() so packages like tmap.mapgl can register themselves, and shiny dispatch methods were added specifically to let other modes integrate. The core package is increasingly a rendering contract that satellite packages plug into.

◆ Prediction

Expect more rendering backends to land as sibling packages rather than in tmap itself, with the core continuing to absorb the dispatch and mode-management plumbing they need.

Alternatives to errors and tmap

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 errors or tmap.

See all errors alternatives → · See all tmap alternatives →

Recent activity from errors and tmap

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

  1. 1mo agotmapDocumentation-only patch tidying man-page titles
  2. 1mo agotmaptm_circles, layer blending and clickable small objects
  3. 1y agoerrorserrors 0.4.4 replaces deprecated geom_errorbarh()
  4. 1y agotmaptmap v4 rewritten from scratch with a new layer syntax
  5. 1y agoerrorserrors 0.4.3 supports decimals in parenthesis notation
  6. 1y agotmapFinal 3.x release before the v4 rewrite
  7. 2y agoerrorserrors 0.4.2 adds PDG rounding rules
  8. 2y agoerrorserrors 0.4.1 handles missing values, fixes na.rm
  9. 3y agoerrorserrors 0.4.0 adds geom_errors() for automatic errorbars
  10. 5y agoerrorserrors 0.3.6

Frequently asked questions

What is the difference between errors and tmap?

They serve adjacent needs but don't currently overlap on shipped themes. errors and tmap 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 errors better than tmap?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. errors and tmap 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 errors?

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

What are the best alternatives to tmap?

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