qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
Comparison · Analytics
protr vs quantities
A side-by-side editorial comparison of protr and quantities — release velocity, themes, recent moves, and the top alternatives to consider.
protr vs quantities: at a glance
What is protr?
protr's feature set is finished; the work now is surviving Bioconductor's churn.
protr generates numerical descriptors from protein sequences for machine learning, plus alignment-based similarity between sequences. The descriptor functions have been stable for years. Recent releases divide cleanly into two kinds: extending the similarity computations to work under memory constraints, and absorbing the Bioconductor split that moved pairwise alignment out of Biostrings into pwalign.
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.
protr vs quantities: editorial side-by-side
protr
0.0ANALYTICS
protr's feature set is finished; the work now is surviving Bioconductor's churn.
◆ Current state
protr generates numerical descriptors from protein sequences for machine learning, plus alignment-based similarity between sequences. The descriptor functions have been stable for years. Recent releases divide cleanly into two kinds: extending the similarity computations to work under memory constraints, and absorbing the Bioconductor split that moved pairwise alignment out of Biostrings into pwalign.
◆ Where it's heading
The similarity side is where the remaining engineering goes, and it follows a consistent pattern — whatever parSeqSim() gained, crossSetSim() eventually gets. Batching, verbose progress and a disk-backed variant all arrived for the single-set case first and were mirrored for the cross-set case in 1.7-1. That is a maintainer closing feature-parity gaps rather than opening new directions, and the two most recent releases contain no user-facing change at all.
◆ Prediction
Expect the next release to react to another Bioconductor or R CMD check change, which accounts for three of the last four. The similarity functions now have parity, so there is no obvious internal backlog left.
quantities
0.0ANALYTICS
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 protr 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 protr or quantities.
constants
The R package for CODATA constants rebuilt its symbol table on NIST's naming so future updates stop being hand work.
austraits
The R client for AusTraits spends its releases chasing the dataset it reads.
ggdemetra
A ggplot2 layer for seasonal adjustment output, filling in one plot type at a time.
fossilsim
A fossil-record simulator that quietly grew a trait-evolution engine.
tern.rbmi
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
See all protr alternatives → · See all quantities alternatives →
Recent activity from protr and quantities
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 11mo agoprotrprotr 1.7-5 silences a Debian r-devel check note
- 1y agoquantitiesFixes covariance and correlation implementations
- 1y agoprotrprotr 1.7-4 checks alignment dependencies upfront
- 1y agoprotrprotr 1.7-3 detects Biostrings version to find pwalign
- 2y agoquantitiesFaster data.frame methods
- 2y agoprotrprotr 1.7-2 fixes citation key and vignette accessibility
- 2y agoprotrprotr 1.7-1 brings crossSetSim to parity with parSeqSim
- 2y agoprotrprotr 1.7-0 adds crossSetSim for two-set similarity
- 3y agoquantitiesTest fixes for an upstream units change
- 3y agoquantitiesUncertainty becomes unit-aware; adds correlation support
- 5y agoquantitiesCompatibility fix for units 0.7-0
- 6y agoquantitiesFixes uncertainty propagation for offset unit conversions
Frequently asked questions
What is the difference between protr and quantities?
They serve adjacent needs but don't currently overlap on shipped themes. protr 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 protr better than quantities?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. protr 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 protr?
Top protr alternatives in Analytics are ranked by recent ship velocity. Browse the "protr alternatives" section above for the current picks, or visit /alternatives/protr-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.