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Comparison · Analytics

ggdemetra vs redist

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

ggdemetra vs redist: at a glance

Featureggdemetraredist
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesseasonal-adjustment, ggplot2, time-series, tramo-seatsr, redistricting, monte-carlo, sampling
Last editorial update1h ago5h ago
WebsiteVisit →Visit →

What is ggdemetra?

A ggplot2 layer for seasonal adjustment output, filling in one plot type at a time.

ggdemetra is a thin, focused bridge: it puts RJDemetra's seasonal adjustment results — TRAMO-SEATS and X-13 models — into ggplot2 geoms and autoplot methods. Development runs in short bursts separated by long quiet stretches, and the most recent work has been correcting SI ratio handling rather than adding surface. The API is small enough that a single function rename counts as the notable change in a release.

Read the full ggdemetra trajectory →

What is redist?

redist keeps rewriting the sampler underneath a district-drawing API it has held stable since 4.0.

redist simulates redistricting plans via sequential Monte Carlo, merge-split MCMC and short-burst optimization, and it is the analysis tool behind a good deal of published districting work. The user-facing shape was set by 4.0.1's constraint interface and the split of metrics into the redistmetrics package; since then the changes are in the algorithms. The most consequential recent one replaces the SMC label-counting adjustment with a backward kernel that removes approximation error outright.

Read the full redist trajectory →

ggdemetra vs redist: editorial side-by-side

G
ggdemetra
ANALYTICS
0.0

A ggplot2 layer for seasonal adjustment output, filling in one plot type at a time.

◆ Current state

ggdemetra is a thin, focused bridge: it puts RJDemetra's seasonal adjustment results — TRAMO-SEATS and X-13 models — into ggplot2 geoms and autoplot methods. Development runs in short bursts separated by long quiet stretches, and the most recent work has been correcting SI ratio handling rather than adding surface. The API is small enough that a single function rename counts as the notable change in a release.

◆ Where it's heading

The package has been steadily completing its coverage of the seasonal adjustment output surface: component extractors and autoplot methods in 0.2.3, SI ratio plotting in 0.2.5, then two releases of corrections to make SI ratios behave under TRAMO-SEATS jSA models and when no seasonal component is exported. Alongside that, the naming is being tidied — y_forecast() became raw(), and init_ggplot() shortened the setup boilerplate. This reads as a package approaching the edge of its intended scope and spending its effort on correctness.

◆ Prediction

Two consecutive releases fixing SI ratios under TRAMO-SEATS suggest that code path is the least settled part of the package, so further corrections there are the most likely next move. The entries give no indication of new model families or plot types being planned.

R
redist
ANALYTICS
0.0

redist keeps rewriting the sampler underneath a district-drawing API it has held stable since 4.0.

◆ Current state

redist simulates redistricting plans via sequential Monte Carlo, merge-split MCMC and short-burst optimization, and it is the analysis tool behind a good deal of published districting work. The user-facing shape was set by 4.0.1's constraint interface and the split of metrics into the redistmetrics package; since then the changes are in the algorithms. The most consequential recent one replaces the SMC label-counting adjustment with a backward kernel that removes approximation error outright.

◆ Where it's heading

The direction is toward exactness and throughput at once — the new kernel is described as both eliminating approximation error and costing far less computation, and successive releases keep adding parallelism, most recently to the flip algorithm. Feature growth has moved into the optimization side, where short-burst gained multiple independent scorers and a Pareto frontier. The release notes are not a reliable ledger: 4.3.1 ships the identical text as 4.3.0.

◆ Prediction

Expect the remaining single-threaded algorithms to gain the chains-style parallelism that flip just received, following the pattern SMC established several releases ago.

Alternatives to ggdemetra and redist

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 ggdemetra or redist.

See all ggdemetra alternatives → · See all redist alternatives →

Recent activity from ggdemetra and redist

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

  1. 6mo agoredistParallel chains for redist_flip()
  2. 6mo agoredistPatch release reusing the 4.3.0 notes
  3. 10mo agoredistSMC backward kernel removes label-counting approximation error
  4. 2y agoggdemetrasiratio() fix when TRAMO-SEATS exports no seasonal component
  5. 2y agoggdemetraraw() replaces y_forecast(); new init_ggplot() helper
  6. 2y agoggdemetraRe-tagged moments later as 0.2.7
  7. 2y agoredistMulti-objective short-burst search with Pareto frontier
  8. 3y agoggdemetraSI ratio plotting functions land
  9. 3y agoredistredist_ci interface and faster loop-erased random walk
  10. 4y agoredistredist_constr() unifies constraints and admits user-defined ones
  11. 5y agoggdemetrats2df() conversion helper and geom_outlier date fix
  12. 6y agoggdemetrageom_arima no longer recomputes the model

Frequently asked questions

What is the difference between ggdemetra and redist?

They serve adjacent needs but don't currently overlap on shipped themes. ggdemetra and redist 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 ggdemetra better than redist?

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

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

What are the best alternatives to redist?

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