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Comparison · Analytics
ggdemetra vs jmastats
A side-by-side editorial comparison of ggdemetra and jmastats — release velocity, themes, recent moves, and the top alternatives to consider.
ggdemetra vs jmastats: at a glance
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.
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.
ggdemetra vs jmastats: editorial side-by-side
ggdemetra
0.0ANALYTICS
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.
jmastats
0.0ANALYTICS
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.
Alternatives to ggdemetra and jmastats
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 jmastats.
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See all ggdemetra alternatives → · See all jmastats alternatives →
Recent activity from ggdemetra and jmastats
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1y agojmastatsjma_collect() can now retrieve climatological normals
- 2y agojmastatsStation coordinates and prefecture codes corrected
- 2y agojmastatsBundled datasets refreshed to March 2024
- 2y agoggdemetrasiratio() fix when TRAMO-SEATS exports no seasonal component
- 2y agoggdemetraraw() replaces y_forecast(); new init_ggplot() helper
- 2y agoggdemetraRe-tagged moments later as 0.2.7
- 2y agojmastatsFirst CRAN release adds request throttling to jma_collect()
- 3y agoggdemetraSI ratio plotting functions land
- 5y agoggdemetrats2df() conversion helper and geom_outlier date fix
- 6y agoggdemetrageom_arima no longer recomputes the model
Frequently asked questions
What is the difference between ggdemetra and jmastats?
They serve adjacent needs but don't currently overlap on shipped themes. ggdemetra and jmastats 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 jmastats?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggdemetra and jmastats 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 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.