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rATTAINS vs susier

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

Shared themes:r-package

rATTAINS vs susier: at a glance

FeaturerATTAINSsusier
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themeswater-quality, epa-data, r-package, api-wrapperr-package, statistical-genetics, fine-mapping, cpp-bindings
Last editorial update2h ago58m ago
WebsiteVisit →Visit →

What is rATTAINS?

The R client for EPA water quality data spent two releases undoing its own promises about data shape.

rATTAINS wraps the EPA's ATTAINS API, which holds state water quality assessments and impaired-waters listings. The package reached 1.0.0 by promising stable, consistently rectangled return structures, then walked that promise back in 1.1.0 when it dropped the dependency doing the rectangling. As of 1.2.0 it also requires an API key, because ATTAINS itself began requiring one in May 2026.

Read the full rATTAINS trajectory →

What is susier?

Fine-mapping workhorse susieR spends its releases hunting null-effect trimming bugs

susieR implements the Sum of Single Effects regression model for variable selection and fine-mapping, widely used in statistical genetics. The recent releases are a tight run of correctness work concentrated in one area: null effect trimming. Version 0.15.55 fixed trimming under the Servin-Stephens residual variance method, 0.15.56 fixed it again for non-uniform prior weights fourteen minutes later, 0.15.57 corrected an ELBO null space term for RSS with X and a matrix symmetry check, and 0.15.58 addressed an alpha0/beta0 issue. Version 0.16.0 migrates the C++ bindings from Rcpp to cpp11 with cpp11armadillo.

Read the full susier trajectory →

rATTAINS vs susier: editorial side-by-side

R
rATTAINS
ANALYTICS
0.0

The R client for EPA water quality data spent two releases undoing its own promises about data shape.

◆ Current state

rATTAINS wraps the EPA's ATTAINS API, which holds state water quality assessments and impaired-waters listings. The package reached 1.0.0 by promising stable, consistently rectangled return structures, then walked that promise back in 1.1.0 when it dropped the dependency doing the rectangling. As of 1.2.0 it also requires an API key, because ATTAINS itself began requiring one in May 2026.

◆ Where it's heading

The direction is toward a thinner, lower-maintenance wrapper. Caching went in 0.1.4 when hoardr was archived, tidyjson and janitor went earlier, tibblify went in 1.1.0, and each removal handed a little more data-shaping responsibility back to the user — the current advice is to pass .unnest = FALSE and rectangle the results with whatever tidying package you prefer. Release cadence is slow and mostly reactive: upstream API terms, archived dependencies, and compatibility with test tooling account for most of the log. The package's centre of gravity is staying installable and honest about what ATTAINS returns rather than smoothing it over.

◆ Prediction

Given the pattern, the next release is likelier to be a compatibility or upstream-driven fix than new endpoint coverage; how the API key requirement affects users in scripted and CI contexts is the obvious open question the entries do not yet answer.

S
susier
ANALYTICS
0.0

Fine-mapping workhorse susieR spends its releases hunting null-effect trimming bugs

◆ Current state

susieR implements the Sum of Single Effects regression model for variable selection and fine-mapping, widely used in statistical genetics. The recent releases are a tight run of correctness work concentrated in one area: null effect trimming. Version 0.15.55 fixed trimming under the Servin-Stephens residual variance method, 0.15.56 fixed it again for non-uniform prior weights fourteen minutes later, 0.15.57 corrected an ELBO null space term for RSS with X and a matrix symmetry check, and 0.15.58 addressed an alpha0/beta0 issue. Version 0.16.0 migrates the C++ bindings from Rcpp to cpp11 with cpp11armadillo.

◆ Where it's heading

The version-number churn understates how narrow this work is — four consecutive releases touching the same trimming and residual-variance machinery suggests one area where the implementation and the intended behavior had drifted apart. The 0.16.0 binding migration is the only structural change, and it is invisible to users while mattering for build portability and long-term maintenance. Development is clearly active, with automated release tooling and dependency bumps flowing through the same stream.

◆ Prediction

With the binding migration just landed, near-term releases are likely to address fallout from it alongside continued fixes in the same trimming and residual-variance code.

Alternatives to rATTAINS and susier

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 rATTAINS or susier.

See all rATTAINS alternatives → · See all susier alternatives →

Recent activity from rATTAINS and susier

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

  1. 1mo agorATTAINSATTAINS now requires an API key, and the package follows
  2. 3mo agosusierMigrates C++ bindings from Rcpp to cpp11 and cpp11armadillo
  3. 3mo agosusierFixes alpha0/beta0 handling under Servin-Stephens
  4. 4mo agosusierCorrects the null space ELBO term for RSS with X
  5. 5mo agosusierFixes null effect trimming with non-uniform prior weights
  6. 5mo agosusierFixes null effect trimming under Servin-Stephens estimation
  7. 8mo agorATTAINSThe tibblify dependency goes, and with it the stable data shapes
  8. 1y agorATTAINSTest suite updated for vcr v2
  9. 3y agorATTAINS1.0.0 commits to stable return structures via tibblify
  10. 3y agorATTAINSCaching removed after hoardr was archived
  11. 4y agorATTAINSRequests retry on timeout, with offline detection

Frequently asked questions

What is the difference between rATTAINS and susier?

Both compete on the same themes — r-package — within Analytics. rATTAINS and susier 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 rATTAINS better than susier?

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

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

What are the best alternatives to susier?

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