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ArchR vs quantities

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

Shared themes:r-package

ArchR vs quantities: at a glance

FeatureArchRquantities
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themessingle-cell, atac-seq, bioinformatics, r-packageunits, measurement-uncertainty, error-propagation, r-package
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is ArchR?

ArchR returns after three years, mostly to catch up with the ecosystem around it.

ArchR analyses single-cell chromatin accessibility data, and until early 2025 its last release was from 2022. Release 1.0.3 collects roughly three years of accumulated pull requests: ggplot2 3.5 compatibility, Seurat v5 object creation, large-matrix handling via ARMA_64BIT_WORD, trajectory and module-score work, and a published Docker image. The release candidate before it did nothing but lift a 500 MB import ceiling.

Read the full ArchR 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 →

ArchR vs quantities: editorial side-by-side

A
ArchR
ANALYTICS
0.0

ArchR returns after three years, mostly to catch up with the ecosystem around it.

◆ Current state

ArchR analyses single-cell chromatin accessibility data, and until early 2025 its last release was from 2022. Release 1.0.3 collects roughly three years of accumulated pull requests: ggplot2 3.5 compatibility, Seurat v5 object creation, large-matrix handling via ARMA_64BIT_WORD, trajectory and module-score work, and a published Docker image. The release candidate before it did nothing but lift a 500 MB import ceiling.

◆ Where it's heading

This is a maintenance restart rather than a new direction. The contributor list shifts visibly from the original authors toward newer maintainers handling compatibility work, and the Docker image suggests an acknowledgement that reproducing the environment had become the harder problem. Whether the cadence recovers is not something these entries answer.

◆ Prediction

The entries do not support a confident call on future direction; the immediate question is whether releases resume at a normal interval or 1.0.3 was a one-off catch-up.

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 ArchR 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 ArchR or quantities.

See all ArchR alternatives → · See all quantities alternatives →

Recent activity from ArchR and quantities

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

  1. 1y agoArchRThree years of fixes, Seurat v5 support and a Docker image
  2. 1y agoquantitiesFixes covariance and correlation implementations
  3. 1y agoArchRRelease candidate lifting the 500 MB S4 import limit
  4. 2y agoquantitiesFaster data.frame methods
  5. 3y agoquantitiesTest fixes for an upstream units change
  6. 3y agoquantitiesUncertainty becomes unit-aware; adds correlation support
  7. 4y agoArchRStability fixes and improved multiome import
  8. 5y agoArchRIntroduces multi-omic functionality
  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 ArchR and quantities?

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

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

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