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geos vs rjdqa

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

Shared themes:r-package

geos vs rjdqa: at a glance

Featuregeosrjdqa
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesgeospatial, geometry, c-bindings, r-packageofficial-statistics, seasonal-adjustment, quality-assurance, r-package
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is geos?

The thin GEOS binding for R adds terra interop after three years of compiler triage

geos is a low-overhead R binding to the GEOS geometry engine, exposing predicates, overlays and spatial indexes with minimal copying. Version 0.2.5 accepts terra SpatVector objects directly, alongside fixes for zero-length memcpy and plotting of invalid geometries. The releases between 0.2.0 and 0.2.5 contain almost no feature work — they are responses to compiler warnings, sanitiser findings and CRAN check failures.

Read the full geos trajectory →

What is rjdqa?

rjdqa keeps refining one screen: the seasonal adjustment quality dashboard

rjdqa builds quality assessment dashboards for seasonal adjustment models produced by JDemetra+, aimed at official statisticians reviewing adjusted series. Essentially all development goes into two functions, simple_dashboard() and its denser variant simple_dashboard2(). Version 0.1.6 adds parameters to append observations to the forecast and to control whether the residual trading-days test is printed, defaulting to monthly series only, plus outlier table layout work and user-defined calendar regressor support in sc_dashboard().

Read the full rjdqa trajectory →

geos vs rjdqa: editorial side-by-side

G
geos
ANALYTICS
0.0

The thin GEOS binding for R adds terra interop after three years of compiler triage

◆ Current state

geos is a low-overhead R binding to the GEOS geometry engine, exposing predicates, overlays and spatial indexes with minimal copying. Version 0.2.5 accepts terra SpatVector objects directly, alongside fixes for zero-length memcpy and plotting of invalid geometries. The releases between 0.2.0 and 0.2.5 contain almost no feature work — they are responses to compiler warnings, sanitiser findings and CRAN check failures.

◆ Where it's heading

Feature development stopped after 0.2.0 and the package has since been kept alive against a moving toolchain: strict-prototypes warnings, a clang sanitiser error, format string checks, an M1 test failure. The 0.2.5 terra support breaks that pattern and came from an outside contributor, which suggests the package's direction is now set by what neighbouring spatial packages need from it rather than by GEOS feature coverage.

◆ Prediction

GEOS has released new capabilities since the 3.11 features wired up in 0.2.0, and none have been exposed since; whether the next release closes that gap or continues as interop-and-maintenance is the open question the history does not yet answer.

R
rjdqa
ANALYTICS
0.0

rjdqa keeps refining one screen: the seasonal adjustment quality dashboard

◆ Current state

rjdqa builds quality assessment dashboards for seasonal adjustment models produced by JDemetra+, aimed at official statisticians reviewing adjusted series. Essentially all development goes into two functions, simple_dashboard() and its denser variant simple_dashboard2(). Version 0.1.6 adds parameters to append observations to the forecast and to control whether the residual trading-days test is printed, defaulting to monthly series only, plus outlier table layout work and user-defined calendar regressor support in sc_dashboard().

◆ Where it's heading

The package has converged on a single deliverable and is tuning it against reviewer practice. Each release adds a parameter that lets the analyst include or exclude one element of the dashboard, or adjusts how densely information is packed into the fixed space of the layout. The td_effect default — print the test only for monthly series — is characteristic: the knowledge about when a diagnostic is meaningful is being encoded into the tool rather than left to the reader.

◆ Prediction

The pattern of adding one toggle per diagnostic per release points at the same thing again, most likely another test given a conditional default, rather than a new dashboard function alongside the two that exist.

Alternatives to geos and rjdqa

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 geos or rjdqa.

See all geos alternatives → · See all rjdqa alternatives →

Recent activity from geos and rjdqa

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

  1. 7mo agogeosAccepts terra SpatVector objects; invalid-geometry plotting fixed
  2. 9mo agorjdqaForecast observations and conditional trading-days test in dashboards
  3. 1y agorjdqaFix tail() usage on ts objects
  4. 2y agorjdqaFix dependency minimums and outlier ordering
  5. 2y agorjdqasimple_dashboard2() added; deprecated sa_dashboard() removed
  6. 2y agorjdqasimple_dashboard() introduced; sa_dashboard() deprecated
  7. 2y agogeosFix format string checks flagged by CRAN
  8. 2y agogeosNA/NaN handling adjusted for waldo; M1 test fixed
  9. 3y agogeosSilence -Wstrict-prototypes warnings
  10. 3y agogeosFix clang address sanitizer error
  11. 3y agogeosGEOS 3.11 functions exposed; spatial tree and join helpers added
  12. 7y agorjdqaFirst CRAN release

Frequently asked questions

What is the difference between geos and rjdqa?

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

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

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

What are the best alternatives to rjdqa?

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