rjdqa
rjdqa keeps refining one screen: the seasonal adjustment quality dashboard
Comparison · Analytics
redist vs timeplyr
A side-by-side editorial comparison of redist and timeplyr — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r
redist vs timeplyr: at a glance
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.
What is timeplyr?
timeplyr cut everything that wasn't time, then rebuilt intervals as fixed-width vectors.
timeplyr is a time-aware companion to dplyr and data.table, built around a fixed-width time_interval vector class. The 1.0.0 rewrite removed most non-time functions and pushed the C++ layer out into the separate cheapr package, leaving a narrower surface than the 0.8.x line. Releases since have been small: one feature batch in 1.1.1 and a pair of bug fixes in 1.1.2.
redist vs timeplyr: editorial side-by-side
redist
0.0ANALYTICS
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.
timeplyr
0.0ANALYTICS
timeplyr cut everything that wasn't time, then rebuilt intervals as fixed-width vectors.
◆ Current state
timeplyr is a time-aware companion to dplyr and data.table, built around a fixed-width time_interval vector class. The 1.0.0 rewrite removed most non-time functions and pushed the C++ layer out into the separate cheapr package, leaving a narrower surface than the 0.8.x line. Releases since have been small: one feature batch in 1.1.1 and a pair of bug fixes in 1.1.2.
◆ Where it's heading
The arc is consolidation, not expansion. Each release since 1.0.0 trims arguments, renames functions toward a single vocabulary (width, timespan, grid), or fixes an interaction with data.table's own rolling functions. The package increasingly acts as a thin time layer over cheapr and data.table rather than carrying its own implementation.
◆ Prediction
Expect continued small releases tracking cheapr and data.table changes rather than new function families; the entries show no in-progress feature work beyond the ggplot2-friendly breakpoint helpers introduced in 1.1.1.
Alternatives to redist and timeplyr
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 redist or timeplyr.
epikit
epikit narrows to field-epidemiology helpers, handing proportions to a sibling package
SimInf
SimInf 10.0 turns an epidemic simulator into a tool that fits models to real time series
mutagen
A young package porting Stata's egen row-wise helpers to the tidyverse, one function per release
broman
A statistician's personal toolbox, growing one plotting utility at a time
qtl
R/qtl is in pure custodial mode: every recent release answers a compiler, not a user
See all redist alternatives → · See all timeplyr alternatives →
Recent activity from redist and timeplyr
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 4mo agotimeplyrLeap-day and time_complete(.by=) bug fixes
- 6mo agoredistParallel chains for redist_flip()
- 6mo agoredistPatch release reusing the 4.3.0 notes
- 10mo agotimeplyrtime_breakpoints added; rolling calcs realigned to data.table
- 10mo agoredistSMC backward kernel removes label-counting approximation error
- 1y agotimeplyrFixed-width time intervals; non-time functions removed ⚡
- 1y agotimeplyrtime_intervals on by default; year_month/year_quarter ggplot2 scales
- 2y agotimeplyrRegression fixes after the 0.8.0 refactor
- 2y agotimeplyrC++ layer moved to cheapr; time_interval class introduced
- 2y agoredistMulti-objective short-burst search with Pareto frontier
- 3y agoredistredist_ci interface and faster loop-erased random walk
- 4y agoredistredist_constr() unifies constraints and admits user-defined ones ⚡
Frequently asked questions
What is the difference between redist and timeplyr?
Both compete on the same themes — r — within Analytics. redist and timeplyr 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 redist better than timeplyr?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. redist and timeplyr 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 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.
What are the best alternatives to timeplyr?
Top timeplyr alternatives in Analytics are ranked by recent ship velocity. Browse the "timeplyr alternatives" section above for the current picks, or visit /alternatives/timeplyr for the full list with editorial commentary on each.