← Back to home
Comparison · Analytics

forrel vs healthyR.data

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

forrel vs healthyR.data: at a glance

FeatureforrelhealthyR.data
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesforensic genetics, kinship analysis, simulation, parallel computingr-package, healthcare-data, cms, api-client
Last editorial update1d ago2h ago
WebsiteVisit →Visit →

What is forrel?

forrel is getting faster at the simulations forensic kinship work actually spends its time on.

forrel handles forensic pedigree analysis: kinship likelihood ratios, profile simulation, relationship checking, and missing person calculations. Version 1.9.0 synced with pedtools 2.11.0's loop handling, which the release notes credit with enabling complex pedigrees that were previously intractable, and moved profileSim() to mirai for parallelism. It also added fEstimate() for inbreeding coefficients and parentChildLikelihood() as a fast path for the simplest case.

Read the full forrel trajectory →

What is healthyR.data?

From a bundled hospital dataset to a live CMS API client.

healthyR.data supplies the data layer for the healthyverse packages. It began by shipping hospital data inside the package and now fetches from CMS and provider endpoints at call time through get_cms_meta_data(), fetch_cms_data(), and their provider counterparts. The most recent release is a single httr2 compatibility fix.

Read the full healthyR.data trajectory →

forrel vs healthyR.data: editorial side-by-side

F
forrel
ANALYTICS
0.0

forrel is getting faster at the simulations forensic kinship work actually spends its time on.

◆ Current state

forrel handles forensic pedigree analysis: kinship likelihood ratios, profile simulation, relationship checking, and missing person calculations. Version 1.9.0 synced with pedtools 2.11.0's loop handling, which the release notes credit with enabling complex pedigrees that were previously intractable, and moved profileSim() to mirai for parallelism. It also added fEstimate() for inbreeding coefficients and parentChildLikelihood() as a fast path for the simplest case.

◆ Where it's heading

Two long threads run through the window. One is making the common operations cheap: faster simulations through reorganized likelihood calculations, a dedicated parent-child path, dropped map attribute preservation, log-likelihoods to avoid underflow in kinshipLR(). The other is making relationship checking presentable, with checkPairwise() growing ggplot2 and plotly output, verbal relationship descriptions, and bootstrap p-values. Reference data is maintained alongside both, with the FORCE SNP panel completed and an X-chromosomal counterpart added.

◆ Prediction

With profileSim() on mirai and the loop handling synced, the next likely step is extending mirai parallelism to the other simulation-heavy functions such as exclusionPower() and the bootstrap in checkPairwise().

H
healthyR.data
ANALYTICS
0.0

From a bundled hospital dataset to a live CMS API client.

◆ Current state

healthyR.data supplies the data layer for the healthyverse packages. It began by shipping hospital data inside the package and now fetches from CMS and provider endpoints at call time through get_cms_meta_data(), fetch_cms_data(), and their provider counterparts. The most recent release is a single httr2 compatibility fix.

◆ Where it's heading

The 2023 release added roughly twenty current_*_data() accessors, one per CMS measure file - a wide but static surface. The 2024 releases replaced that approach with metadata lookup plus generic fetchers, then taught the fetchers to handle CSV, Excel, and ZIP payloads rather than API responses alone. The package's weight has moved from what it ships to what it can retrieve.

◆ Prediction

With the fetch layer generalised, the next visible work is more likely record-limit and error handling around httr2 than further per-measure accessors.

Alternatives to forrel and healthyR.data

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 forrel or healthyR.data.

See all forrel alternatives → · See all healthyR.data alternatives →

Recent activity from forrel and healthyR.data

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

  1. 1mo agoforrelmirai parallelism and faster profile simulation
  2. 1y agoforrelFORCE SNP panel completed and X-chromosomal set added
  3. 1y agoforrelrankProfiles() and access to special lumping
  4. 1y agoforrelacrossComps argument and readFam() unexported
  5. 1y agohealthyR.datahttr2 compatibility fix
  6. 1y agoforrelcheckPairwise() overhauled with p-values and new plot backends
  7. 2y agohealthyR.dataFetchers handle CSV, Excel, and ZIP, with a record limit
  8. 2y agohealthyR.dataMetadata lookup and generic CMS fetchers replace bundled data
  9. 2y agoforrelFamilias interoperability split into pedFamilias
  10. 3y agohealthyR.dataTwenty CMS measure accessors added
  11. 3y agohealthyR.datacli, crayon, and rstudioapi dependencies dropped
  12. 5y agohealthyR.dataxz compression added to meet CRAN size policy

Frequently asked questions

What is the difference between forrel and healthyR.data?

They serve adjacent needs but don't currently overlap on shipped themes. forrel and healthyR.data 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 forrel better than healthyR.data?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. forrel and healthyR.data 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 forrel?

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

What are the best alternatives to healthyR.data?

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