qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
Comparison · Analytics
netrankr vs quantities
A side-by-side editorial comparison of netrankr and quantities — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
netrankr vs quantities: at a glance
What is netrankr?
A centrality package that absorbed an abandoned neighbour rather than let its functions vanish.
netrankr computes centrality rankings on networks using partial orders rather than committing to a single index, and lets users build their own indices from relational components. The latest release folds in functions from the archived NetSwan package and clears deprecated igraph calls. Earlier work removed the midpoint calculation from rank_intervals, a change the notes themselves flag as possibly breaking.
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.
netrankr vs quantities: editorial side-by-side
netrankr
0.0ANALYTICS
A centrality package that absorbed an abandoned neighbour rather than let its functions vanish.
◆ Current state
netrankr computes centrality rankings on networks using partial orders rather than committing to a single index, and lets users build their own indices from relational components. The latest release folds in functions from the archived NetSwan package and clears deprecated igraph calls. Earlier work removed the midpoint calculation from rank_intervals, a change the notes themselves flag as possibly breaking.
◆ Where it's heading
Development is sparse and driven by ecosystem pressure — igraph deprecations, CRAN archival of related packages, JOSS submission requirements. The analytic core has been stable since the partial-order framework was established; what changes is the surrounding surface and its compatibility with a moving graph stack. Absorbing NetSwan is the first real expansion in years.
◆ Prediction
Expect further igraph compatibility passes; whether the NetSwan absorption is a one-off rescue or the start of consolidating orphaned network packages is not something these entries settle.
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 netrankr 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 netrankr 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 netrankr alternatives → · See all quantities alternatives →
Recent activity from netrankr and quantities
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1y agonetrankrAbsorbs functions from the archived NetSwan package
- 1y agoquantitiesFixes covariance and correlation implementations
- 2y agoquantitiesFaster data.frame methods
- 2y agonetrankrRemoves a platform-specific failing test
- 2y agonetrankrigraph upgrade and a breaking rank_intervals change
- 3y agoquantitiesTest fixes for an upstream units change
- 3y agoquantitiesUncertainty becomes unit-aware; adds correlation support
- 3y agonetrankrInternal changes for JOSS submission
- 5y agoquantitiesCompatibility fix for units 0.7-0
- 5y agonetrankrHandles unconnected graphs; adds incomparable_pairs()
- 6y agoquantitiesFixes uncertainty propagation for offset unit conversions
- 7y agonetrankrFixes index builder; adds weighted adjacency relations
Frequently asked questions
What is the difference between netrankr and quantities?
Both compete on the same themes — r-package — within Analytics. netrankr 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 netrankr better than quantities?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. netrankr 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 netrankr?
Top netrankr alternatives in Analytics are ranked by recent ship velocity. Browse the "netrankr alternatives" section above for the current picks, or visit /alternatives/netrankr-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.