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Comparison · Analytics

jmastats vs netrankr

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

Shared themes:r-package

jmastats vs netrankr: at a glance

Featurejmastatsnetrankr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr-package, weather-data, japan, dataset-refreshnetwork-analysis, centrality, graph-theory, r-package
Last editorial update4h ago1d ago
WebsiteVisit →Visit →

What is jmastats?

A Japan Meteorological Agency client whose real product is keeping its bundled datasets current.

jmastats pulls weather and climate data from the Japan Meteorological Agency into R, and most of its releases exist to refresh the station and reference datasets it ships. Three of the four versions on record are dataset updates, dated by the month they were cut. The exception is 0.3.0, which taught jma_collect() to retrieve climatological normals derived from past observations.

Read the full jmastats trajectory →

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.

Read the full netrankr trajectory →

jmastats vs netrankr: editorial side-by-side

J
jmastats
ANALYTICS
0.0

A Japan Meteorological Agency client whose real product is keeping its bundled datasets current.

◆ Current state

jmastats pulls weather and climate data from the Japan Meteorological Agency into R, and most of its releases exist to refresh the station and reference datasets it ships. Three of the four versions on record are dataset updates, dated by the month they were cut. The exception is 0.3.0, which taught jma_collect() to retrieve climatological normals derived from past observations.

◆ Where it's heading

The package treats bundled data as the thing that must not go stale, and the retrieval API as broadly finished. Where code does change, it is about being a well-behaved client — request intervals to reduce server load, messages when returned data contains missing values, corrected station coordinates. Capability growth happens in single steps, roughly once a year.

◆ Prediction

The next release is most likely another dated dataset refresh; a further extension of jma_collect() to a new observation type is plausible but the entries show no specific one being prepared.

N
netrankr
ANALYTICS
0.0

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.

Alternatives to jmastats and netrankr

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 jmastats or netrankr.

See all jmastats alternatives → · See all netrankr alternatives →

Recent activity from jmastats and netrankr

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

  1. 1y agonetrankrAbsorbs functions from the archived NetSwan package
  2. 1y agojmastatsjma_collect() can now retrieve climatological normals
  3. 2y agojmastatsStation coordinates and prefecture codes corrected
  4. 2y agojmastatsBundled datasets refreshed to March 2024
  5. 2y agonetrankrRemoves a platform-specific failing test
  6. 2y agonetrankrigraph upgrade and a breaking rank_intervals change
  7. 2y agojmastatsFirst CRAN release adds request throttling to jma_collect()
  8. 3y agonetrankrInternal changes for JOSS submission
  9. 5y agonetrankrHandles unconnected graphs; adds incomparable_pairs()
  10. 7y agonetrankrFixes index builder; adds weighted adjacency relations

Frequently asked questions

What is the difference between jmastats and netrankr?

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

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

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

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.