EvoPhylo
EvoPhylo added BEAST2 alongside MrBayes, then went quiet for two years.
Comparison · Analytics
epikit vs tidypolars
A side-by-side editorial comparison of epikit and tidypolars — release velocity, themes, recent moves, and the top alternatives to consider.
epikit vs tidypolars: at a glance
What is epikit?
epikit narrows to field-epidemiology helpers, handing proportions to a sibling package
epikit is a set of small helpers for applied epidemiology in R — age categorisation, date reconstruction from partial records, and related field-data chores, developed in the R4Epis orbit. Version 0.2.0 moved the proportion functions out to epitabulate, improved how find_date_cause(), find_start_date() and find_end_date() handle dates falling outside the period, and added a floor argument to age_categories() so the lowest band reads as under one rather than zero to zero.
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.
epikit vs tidypolars: editorial side-by-side
epikit
0.0ANALYTICS
epikit narrows to field-epidemiology helpers, handing proportions to a sibling package
◆ Current state
epikit is a set of small helpers for applied epidemiology in R — age categorisation, date reconstruction from partial records, and related field-data chores, developed in the R4Epis orbit. Version 0.2.0 moved the proportion functions out to epitabulate, improved how find_date_cause(), find_start_date() and find_end_date() handle dates falling outside the period, and added a floor argument to age_categories() so the lowest band reads as under one rather than zero to zero.
◆ Where it's heading
The package is being scoped down rather than built out. The 0.1.3 restructuring and the 0.2.0 handover of proportions to epitabulate are the same move made twice: push functionality into the package where it belongs and keep epikit to the toolkit that field epidemiologists reach for directly. The rest of the history is dependency compatibility work against dplyr and tibble.
◆ Prediction
With proportions gone and dependencies trimmed, the remaining functions cluster tightly around dates and age bands, so further refinement of the date-reconstruction helpers is more likely than new capability areas.
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 epikit 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 epikit or tidypolars.
treespace
treespace ships once every year or two, and only when CRAN or a user forces it.
Rpath
Rpath 1.1.0 learns to read Ecopath's own files, easing migration off the desktop tool.
TAF
TAF keeps turning ICES stock assessments into reproducible, dependency-pinned projects.
parallelDist
parallelDist is in pure preservation mode — one build fix every few years.
cairo
Cairo finally catches R's graphics engine, all the way to GE API 16.
See all epikit alternatives → · See all tidypolars alternatives →
Recent activity from epikit 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 agoepikitProportion functions moved to epitabulate; date helpers warn correctly
- 9mo agotidypolarstidypolars 0.15.0
- 3y agoepikitFunctions rearranged across sibling packages
- 5y agoepikitRaise dplyr and tibble minimums; move CI to GitHub Actions
- 5y agoepikitCompatibility release for dplyr 1.0.0
- 6y agoepikitFirst CRAN release
Frequently asked questions
What is the difference between epikit and tidypolars?
They serve adjacent needs but don't currently overlap on shipped themes. epikit 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 epikit better than tidypolars?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. epikit 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 epikit?
Top epikit alternatives in Analytics are ranked by recent ship velocity. Browse the "epikit alternatives" section above for the current picks, or visit /alternatives/epikit-r 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.