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Comparison · Analytics

lineup2 vs quantities

A side-by-side editorial comparison of lineup2 and quantities — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

lineup2 vs quantities: at a glance

Featurelineup2quantities
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themessample-mixups, distance-metrics, r-package, bioinformaticsunits, measurement-uncertainty, error-propagation, r-package
Last editorial update7h ago1h ago
WebsiteVisit →Visit →

What is lineup2?

lineup2 ships once every few years, and 2026's release is a logo and a core-count tweak.

lineup2 provides distance-based tools for detecting sample mix-ups between related datasets — comparing rows and columns of two matrices to find swapped or mislabeled samples. Its visible history is four releases spread across six years, and the capability surface has barely moved since plot_sample() and the propdiff distance arrived in 0.4. Version 0.8 in July 2026 adds a package logo and redefines cores=0 to mean all-but-one core.

Read the full lineup2 trajectory →

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 →

lineup2 vs quantities: editorial side-by-side

L
lineup2
ANALYTICS
0.0

lineup2 ships once every few years, and 2026's release is a logo and a core-count tweak.

◆ Current state

lineup2 provides distance-based tools for detecting sample mix-ups between related datasets — comparing rows and columns of two matrices to find swapped or mislabeled samples. Its visible history is four releases spread across six years, and the capability surface has barely moved since plot_sample() and the propdiff distance arrived in 0.4. Version 0.8 in July 2026 adds a package logo and redefines cores=0 to mean all-but-one core.

◆ Where it's heading

This is a finished, single-purpose package in maintenance. The substantive changes across the whole window are plotting conveniences and one parallelism default; nothing in the entries points at new distance measures, new input formats, or expanded scope. The release cadence — five years between 0.6 and 0.8 — reads as a tool the author considers done.

◆ Prediction

Further releases are likely to stay small: a plotting option, a parallelism detail, or a check-farm fix. The entries give no signal of planned feature work.

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.

Alternatives to lineup2 and quantities

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 lineup2 or quantities.

See all lineup2 alternatives → · See all quantities alternatives →

Recent activity from lineup2 and quantities

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

  1. 1mo agolineup2cores=0 now leaves one core free
  2. 1y agoquantitiesFixes covariance and correlation implementations
  3. 2y agoquantitiesFaster data.frame methods
  4. 3y agoquantitiesTest fixes for an upstream units change
  5. 3y agoquantitiesUncertainty becomes unit-aware; adds correlation support
  6. 5y agolineup2plot_sample() gains xlim and ylim control
  7. 5y agoquantitiesCompatibility fix for units 0.7-0
  8. 5y agolineup2plot_sample() and the propdiff distance added
  9. 5y agolineup2Package description revised for CRAN resubmission
  10. 6y agoquantitiesFixes uncertainty propagation for offset unit conversions

Frequently asked questions

What is the difference between lineup2 and quantities?

Both compete on the same themes — r-package — within Analytics. lineup2 and quantities 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 lineup2 better than quantities?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. lineup2 and quantities 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 lineup2?

Top lineup2 alternatives in Analytics are ranked by recent ship velocity. Browse the "lineup2 alternatives" section above for the current picks, or visit /alternatives/lineup2-r for the full list with editorial commentary on each.

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.