qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
Comparison · Analytics
ggdemetra vs tidypolars
A side-by-side editorial comparison of ggdemetra and tidypolars — release velocity, themes, recent moves, and the top alternatives to consider.
ggdemetra vs tidypolars: 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 tidypolars?
tidypolars is grinding toward complete dplyr coverage, one supported function at a time
tidypolars lets you write dplyr and tidyr syntax against Polars DataFrames and LazyFrames. Its releases follow a fixed shape: raise the required polars version, add a handful of newly supported R functions and arguments, fix places where behaviour diverges from dplyr. Recent additions run from %notin% and as.integer() to .before/.after in mutate() and time zone handling in datetime parsing. Cadence is roughly every six to ten weeks and has not varied.
ggdemetra vs tidypolars: 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.
tidypolars
0.0ANALYTICS
tidypolars is grinding toward complete dplyr coverage, one supported function at a time
◆ Current state
tidypolars lets you write dplyr and tidyr syntax against Polars DataFrames and LazyFrames. Its releases follow a fixed shape: raise the required polars version, add a handful of newly supported R functions and arguments, fix places where behaviour diverges from dplyr. Recent additions run from %notin% and as.integer() to .before/.after in mutate() and time zone handling in datetime parsing. Cadence is roughly every six to ten weeks and has not varied.
◆ Where it's heading
Coverage is the whole strategy, and the target has been widening from dplyr into tidyr — unnest_longer_polars(), separate_longer_delim_polars() and separate_longer_position_polars() bring list-column and string-splitting verbs that have no Polars-idiomatic equivalent in the tidyverse dialect. The other consistent thread is fidelity: distinct() dropping unselected columns, summarize() dropping the last group, relocate() honouring tidy-select helpers, NULL in mutate() behaving as dplyr does. Each of these is a small breaking change made to match the reference rather than to differ from it.
◆ Prediction
The pattern of tracking the polars floor upward every release and following tidyverse changes closely — .by in fill() arrived when tidyr 1.3.2 shipped it — suggests the next releases continue mirroring new dplyr and tidyr arguments rather than adding a distinct capability.
Alternatives to ggdemetra and tidypolars
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 tidypolars.
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.
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.
tern.mmrm
An MMRM tabulation package that has published nothing since its 2024 CRAN releases.
See all ggdemetra alternatives → · See all tidypolars alternatives →
Recent activity from ggdemetra and tidypolars
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agotidypolarstidypolars 0.19.0
- 4mo agotidypolarstidypolars 0.18.0
- 6mo agotidypolarstidypolars 0.17.0
- 6mo agotidypolarstidypolars 0.16.0
- 9mo agotidypolarstidypolars 0.15.1
- 9mo agotidypolarstidypolars 0.15.0
- 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
- 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 tidypolars?
They serve adjacent needs but don't currently overlap on shipped themes. ggdemetra and tidypolars 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 tidypolars?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggdemetra and tidypolars 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 tidypolars?
Top tidypolars alternatives in Analytics are ranked by recent ship velocity. Browse the "tidypolars alternatives" section above for the current picks, or visit /alternatives/tidypolars for the full list with editorial commentary on each.