← Back to home
Comparison · Analytics

quantities vs tmap

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

quantities vs tmap: at a glance

Featurequantitiestmap
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesunits, measurement-uncertainty, error-propagation, r-packagethematic-mapping, spatial-data, ggplot-alternative, extensibility
Last editorial update1h ago8h ago
WebsiteVisit →Visit →

What is quantities?

The glue package that makes R carry units and uncertainty through the same calculation.

quantities combines the units and errors packages into one class so values keep both their measurement units and their uncertainty through arithmetic, subsetting and data frame operations. Recent releases have been narrow: fixes to the covariance and correlation implementations, and performance work on the data.frame methods. Most of the release traffic is coordination with its two parent packages.

Read the full quantities 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 →

quantities vs tmap: editorial side-by-side

Q
quantities
ANALYTICS
0.0

The glue package that makes R carry units and uncertainty through the same calculation.

◆ Current state

quantities combines the units and errors packages into one class so values keep both their measurement units and their uncertainty through arithmetic, subsetting and data frame operations. Recent releases have been narrow: fixes to the covariance and correlation implementations, and performance work on the data.frame methods. Most of the release traffic is coordination with its two parent packages.

◆ Where it's heading

The design settled with 0.2.0, which made uncertainty unit-aware and added correlation and covariance support for quantities objects. Since then the package behaves like the integration layer it is — releasing when units, errors, dplyr or ggplot2 shift underneath it rather than on its own schedule. Several releases consist only of test repairs against upstream changes.

◆ Prediction

Expect the next release to follow a units or errors change rather than introduce new behaviour of its own.

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 quantities 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 quantities or tmap.

See all quantities alternatives → · See all tmap alternatives →

Recent activity from quantities 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 agotmaptmap v4 rewritten from scratch with a new layer syntax
  4. 1y agoquantitiesFixes covariance and correlation implementations
  5. 1y agotmapFinal 3.x release before the v4 rewrite
  6. 2y agoquantitiesFaster data.frame methods
  7. 3y agoquantitiesTest fixes for an upstream units change
  8. 3y agoquantitiesUncertainty becomes unit-aware; adds correlation support
  9. 5y agoquantitiesCompatibility fix for units 0.7-0
  10. 6y agoquantitiesFixes uncertainty propagation for offset unit conversions

Frequently asked questions

What is the difference between quantities and tmap?

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

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

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