← Back to home
Comparison · Analytics

incase vs randomwalk

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

incase vs randomwalk: at a glance

Featureincaserandomwalk
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesdata-wrangling, recoding, tidyverse, api-deprecationwebassembly, shinylive, webr, simulation
Last editorial update46m ago2h ago
WebsiteVisit →Visit →

What is incase?

A safer case_when that keeps hardening its guarantees while realigning to tidyverse naming.

incase supplies in_case(), switch_case(), grep_case() and fn_case() as vectorised recoding functions in the dplyr::case_when idiom, with _fct and _list variants that return factors or lists instead of forcing atomic type conversion. The 0.4.0 release deprecates the undotted preserve, default and ordered arguments in favour of dotted forms, starting a removal clock, and adds .exhaustive to error on unmatched inputs.

Read the full incase trajectory →

What is randomwalk?

randomwalk spent every release getting an R simulation to run in the browser, not on a server.

A random walk and fractal-growth simulation package whose entire visible history is about its browser deployment. Six releases in four weeks moved a Shinylive dashboard from a blank black page to a working app — WebAssembly mounted from GitHub releases, CORS resolved by same-origin serving, missing plotting dependencies installed in-browser, then an async version using crew workers with its own debug log. A correctness fix followed, adding termination-position validation so simulations stop producing isolated pixels, and the most recent release publishes the package itself as a webR binary repository.

Read the full randomwalk trajectory →

incase vs randomwalk: editorial side-by-side

I
incase
ANALYTICS
0.0

A safer case_when that keeps hardening its guarantees while realigning to tidyverse naming.

◆ Current state

incase supplies in_case(), switch_case(), grep_case() and fn_case() as vectorised recoding functions in the dplyr::case_when idiom, with _fct and _list variants that return factors or lists instead of forcing atomic type conversion. The 0.4.0 release deprecates the undotted preserve, default and ordered arguments in favour of dotted forms, starting a removal clock, and adds .exhaustive to error on unmatched inputs.

◆ Where it's heading

The arc is consistently toward catching recoding mistakes at the call site rather than letting them pass silently. Early releases broadened how a match can be expressed — pattern matching, function application, factor and list returns. Recent work has shifted to guarantees about the result: correct factor level ordering relative to .default, and now an exhaustiveness check. Notably 0.4.0 reverses the 0.3.2 decision to accept arguments with or without dots, trading that flexibility for namespace safety against user-supplied case names.

◆ Prediction

The deprecation warnings introduced in 0.4.0 point to a follow-up release that removes the undotted arguments outright. Whether .exhaustive eventually becomes the default is unclear from these entries.

R
randomwalk
ANALYTICS
0.0

randomwalk spent every release getting an R simulation to run in the browser, not on a server.

◆ Current state

A random walk and fractal-growth simulation package whose entire visible history is about its browser deployment. Six releases in four weeks moved a Shinylive dashboard from a blank black page to a working app — WebAssembly mounted from GitHub releases, CORS resolved by same-origin serving, missing plotting dependencies installed in-browser, then an async version using crew workers with its own debug log. A correctness fix followed, adding termination-position validation so simulations stop producing isolated pixels, and the most recent release publishes the package itself as a webR binary repository.

◆ Where it's heading

The package is being built as a browser artifact first and an R package second: the readme, the vignettes and the release notes all point at a hosted dashboard rather than at library(). The last release completes that by making the compiled WebAssembly build installable by anyone via webr::install(), which turns the deployment work into something reusable outside this project. Version numbers are unreliable here — v0.2.0 was published two weeks after v1.0.2 — so read the dates, not the tags.

◆ Prediction

With the webR repository published, the next work most likely moves back to the simulation itself, though the entries give no direct evidence of planned features.

Alternatives to incase and randomwalk

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 incase or randomwalk.

See all incase alternatives → · See all randomwalk alternatives →

Recent activity from incase and randomwalk

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

  1. 8mo agorandomwalkPackage published as an installable webR binary repository
  2. 8mo agorandomwalkTermination validation removes isolated pixels from simulations
  3. 8mo agorandomwalkAsync dashboard with crew workers running under WebR
  4. 9mo agorandomwalkBrowser dashboard working end to end
  5. 9mo agorandomwalkMissing plot dependency and parameter display fixed
  6. 9mo agorandomwalkDashboard mounts WebAssembly from GitHub releases
  7. 11mo agoincaseDotted arguments and an .exhaustive matching check
  8. 2y agoincaseDotted and undotted arguments both accepted
  9. 5y agoincaseFix NULL return when no condition matches
  10. 5y agoincaseFactor and list return families arrive
  11. 5y agoincaseDrop unused stats import to clear a check NOTE
  12. 5y agoincasePattern and function-based matching families added

Frequently asked questions

What is the difference between incase and randomwalk?

They serve adjacent needs but don't currently overlap on shipped themes. incase and randomwalk 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 incase better than randomwalk?

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

Top incase alternatives in Analytics are ranked by recent ship velocity. Browse the "incase alternatives" section above for the current picks, or visit /alternatives/incase for the full list with editorial commentary on each.

What are the best alternatives to randomwalk?

Top randomwalk alternatives in Analytics are ranked by recent ship velocity. Browse the "randomwalk alternatives" section above for the current picks, or visit /alternatives/randomwalk for the full list with editorial commentary on each.