← Back to home
Comparison · Analytics

epiworldR vs tidypolars

A side-by-side editorial comparison of epiworldR and tidypolars — release velocity, themes, recent moves, and the top alternatives to consider.

epiworldR vs tidypolars: at a glance

FeatureepiworldRtidypolars
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr-package, epidemiology, agent-based-simulation, cranpolars, r, dplyr, dataframes
Last editorial update1h ago5h ago
WebsiteVisit →Visit →

What is epiworldR?

epiworldR is a thin R shell whose releases track the C++ simulator underneath it

Almost every release here is a version bump of the underlying epiworld C++ library, wrapped and pushed to CRAN. The substantive R-side work is narrow and consistent: exposing simulation outputs that were already computed but not reachable from R — outbreak size, active cases, hospitalizations and their savers. The newest release addresses an AddressSanitizer finding, which is the kind of thing CRAN checks surface on a compiled package.

Read the full epiworldR trajectory →

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.

Read the full tidypolars trajectory →

epiworldR vs tidypolars: editorial side-by-side

E
epiworldR
ANALYTICS
0.0

epiworldR is a thin R shell whose releases track the C++ simulator underneath it

◆ Current state

Almost every release here is a version bump of the underlying epiworld C++ library, wrapped and pushed to CRAN. The substantive R-side work is narrow and consistent: exposing simulation outputs that were already computed but not reachable from R — outbreak size, active cases, hospitalizations and their savers. The newest release addresses an AddressSanitizer finding, which is the kind of thing CRAN checks surface on a compiled package.

◆ Where it's heading

The R package's job is staying current with the simulator and satisfying CRAN, not evolving its own interface. What direction it has shows in which model outputs get exposed next, and in a steady tidy-up of the build — the custom configure script was dropped in favour of R's built-in C++17 and OpenMP settings, and test coverage has been filled in across several releases with automated assistance.

◆ Prediction

Expect the next release to track another epiworld version bump, with any R-side addition most likely being one more exposed metric or saver, following the pattern of get_hospitalizations and get_outbreak_size.

T
tidypolars
ANALYTICS
0.0

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 epiworldR 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 epiworldR or tidypolars.

See all epiworldR alternatives → · See all tidypolars alternatives →

Recent activity from epiworldR and tidypolars

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 1mo agotidypolarstidypolars 0.19.0
  2. 4mo agotidypolarstidypolars 0.18.0
  3. 4mo agoepiworldR0.14.0 addresses an AddressSanitizer finding
  4. 5mo agoepiworldRWrapper bumped to track a new epiworld version
  5. 5mo agoepiworldRBuild drops the custom configure script for R's C++17 and OpenMP settings
  6. 6mo agotidypolarstidypolars 0.17.0
  7. 6mo agoepiworldRepiworld bumped to 0.11.2
  8. 6mo agotidypolarstidypolars 0.16.0
  9. 7mo agoepiworldRTests updated at CRAN's request
  10. 7mo agoepiworldRHospitalizations, outbreak size and active cases exposed to R
  11. 9mo agotidypolarstidypolars 0.15.1
  12. 9mo agotidypolarstidypolars 0.15.0

Frequently asked questions

What is the difference between epiworldR and tidypolars?

They serve adjacent needs but don't currently overlap on shipped themes. epiworldR 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 epiworldR better than tidypolars?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. epiworldR 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 epiworldR?

Top epiworldR alternatives in Analytics are ranked by recent ship velocity. Browse the "epiworldR alternatives" section above for the current picks, or visit /alternatives/epiworldr 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.