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quantities vs r5r

A side-by-side editorial comparison of quantities and r5r — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

quantities vs r5r: at a glance

Featurequantitiesr5r
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesunits, measurement-uncertainty, error-propagation, r-packagetransport-accessibility, routing, gtfs, java
Last editorial update1h ago1h 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 r5r?

r5r's jump to JDK 21 fixed Apple Silicon and broke everyone's toolchain at once.

r5r runs Conveyal's R5 routing engine from R for multimodal travel-time matrices, accessibility measures and isochrones. The current line requires JDK 21 and R5 v7.1, stores the engine jar under a managed user directory, and detects when a chosen date has no transit service instead of returning silent nonsense. Isochrones can now be returned as polygons rather than lines.

Read the full r5r trajectory →

quantities vs r5r: 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.

R
r5r
ANALYTICS
0.0

r5r's jump to JDK 21 fixed Apple Silicon and broke everyone's toolchain at once.

◆ Current state

r5r runs Conveyal's R5 routing engine from R for multimodal travel-time matrices, accessibility measures and isochrones. The current line requires JDK 21 and R5 v7.1, stores the engine jar under a managed user directory, and detects when a chosen date has no transit service instead of returning silent nonsense. Isochrones can now be returned as polygons rather than lines.

◆ Where it's heading

Development alternates between tracking upstream R5 and smoothing the rough edges its Java dependency creates. The v2.0 release was the pivotal one: raising the JDK floor was a breaking change, but it is what resolved the Mac ARM incompatibility and unblocked users on modern hardware. Since then the work has returned to routing outputs and error handling.

◆ Prediction

Expect further upstream R5 tracking plus incremental isochrone and accessibility options; the JDK floor has just been reset, so another runtime break is unlikely soon.

Alternatives to quantities and r5r

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 r5r.

See all quantities alternatives → · See all r5r alternatives →

Recent activity from quantities and r5r

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

  1. 1y agor5rPolygon isochrones and empty-service detection
  2. 1y agor5rJDK 21 requirement lands, fixing Apple Silicon support
  3. 1y agoquantitiesFixes covariance and correlation implementations
  4. 2y agoquantitiesFaster data.frame methods
  5. 3y agor5rAdds isochrone() with vignettes and FAQ
  6. 3y agoquantitiesTest fixes for an upstream units change
  7. 3y agor5rBumps R5 to 6.9 for cropped OSM network fix
  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 r5r?

Both compete on the same themes — r-package — within Analytics. quantities and r5r 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 r5r?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. quantities and r5r 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 r5r?

Top r5r alternatives in Analytics are ranked by recent ship velocity. Browse the "r5r alternatives" section above for the current picks, or visit /alternatives/r5r-r for the full list with editorial commentary on each.