tbrf
Time-based rolling statistics for water-quality data, finally getting plotting and padding built in.
A side-by-side editorial comparison of nswgeo and TidyDensity — release velocity, themes, recent moves, and the top alternatives to consider.
NSW boundary data for R, refreshed as the official sources move
nswgeo packages New South Wales geographic boundaries for R — suburbs, postcodes, local government areas, Primary Health Networks and Local Health Districts — as ready-to-plot sf datasets. The 0.6.0 release refreshes nearly all of them against new upstream sources, moving postcodes to 2021 ABS boundaries and taking LHD boundaries from a new official feed. It is maintained by cidm-ph alongside the mapping packages that consume it, including ggmapinset.
A distribution catalogue that grows by one family at a time, and rarely breaks anything.
TidyDensity generates tidy-format random data from statistical distributions, with parameter estimation, AIC calculation, summary tables and automatic plotting for each one. Its releases follow a fixed template — breaking changes, new features, minor fixes — and the breaking section is usually empty. Growth comes distribution by distribution: Bernoulli, Burr, triangular, chi-square, zero-truncated negative binomial and others each arrive with a matching set of param_estimate, aic and stats_tbl helpers.
nswgeo packages New South Wales geographic boundaries for R — suburbs, postcodes, local government areas, Primary Health Networks and Local Health Districts — as ready-to-plot sf datasets. The 0.6.0 release refreshes nearly all of them against new upstream sources, moving postcodes to 2021 ABS boundaries and taking LHD boundaries from a new official feed. It is maintained by cidm-ph alongside the mapping packages that consume it, including ggmapinset.
Every release is dictated by an upstream release calendar rather than a roadmap: the 2023 ASGS, then 2024, then the 2021 ABS postcode boundaries and the new LHD source. That makes field-name churn the package's defining hazard — LGA_NAME_2021 to LGA_NAME_2023 to LGA_NAME_2024, and now lhd_name carrying a Local Health District suffix. The maintainer's habit of registering compatibility aliases through cartographer shows an awareness that these renames break downstream code silently.
Expect the next release to track the following ASGS edition with another round of field renames, and any new content to stay in the health-geography area the package's users work in.
TidyDensity generates tidy-format random data from statistical distributions, with parameter estimation, AIC calculation, summary tables and automatic plotting for each one. Its releases follow a fixed template — breaking changes, new features, minor fixes — and the breaking section is usually empty. Growth comes distribution by distribution: Bernoulli, Burr, triangular, chi-square, zero-truncated negative binomial and others each arrive with a matching set of param_estimate, aic and stats_tbl helpers.
The package is filling out a matrix rather than changing shape — every new distribution gets the same four or five companion functions, so the surface grows predictably and the design does not. What variation exists comes from utilities that work across distributions: MCMC sampling, bootstrap helpers, time series conversion, distribution comparison. The two genuine breaking changes in this window were both internal reworks, moving generation onto data.table and rewriting quantile normalization for speed.
The established pattern of adding a distribution with its full helper set is the most likely continuation. Recent releases have been small, suggesting the catalogue is approaching the distributions its author considers worth covering.
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 nswgeo or TidyDensity.
Time-based rolling statistics for water-quality data, finally getting plotting and padding built in.
A roxygen2 documentation-reuse helper whose release notes are mostly upstream damage control.
The tidy front-end for GAMs, now stable enough that upstream ggplot2 sets its release calendar.
A safer case_when that keeps hardening its guarantees while realigning to tidyverse naming.
A mature recurrent-event toolkit in careful maintenance, shedding weight rather than adding surface.
College football's open data client hit v2 — and now reports how many API calls you have left.
See all nswgeo alternatives → · See all TidyDensity alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. nswgeo and TidyDensity 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. nswgeo and TidyDensity 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.
Top nswgeo alternatives in Analytics are ranked by recent ship velocity. Browse the "nswgeo alternatives" section above for the current picks, or visit /alternatives/nswgeo for the full list with editorial commentary on each.
Top TidyDensity alternatives in Analytics are ranked by recent ship velocity. Browse the "TidyDensity alternatives" section above for the current picks, or visit /alternatives/tidydensity for the full list with editorial commentary on each.