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Comparison · Infra & APIs

asar vs SLmetrics

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

Shared themes:r-package

asar vs SLmetrics: at a glance

FeatureasarSLmetrics
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesstock-assessment, reporting, templates, quartomachine-learning, model-evaluation, performance, cpp-backend
Last editorial update52m ago2d ago
WebsiteVisit →Visit →

What is asar?

A NOAA report-template generator being debugged by the workshops that teach it.

asar generates standardized stock assessment report skeletons, with create_template() as the function everything else orbits. The visible release history is short and entirely reactive: two rounds of fixes to template customization and rerendering, then a documentation release moving the project's authoring guidelines onto the package website as living articles. Nothing in the window adds capability.

Read the full asar trajectory →

What is SLmetrics?

A young ML metrics package rewrote its own backend twice in six months chasing speed.

SLmetrics provides supervised learning evaluation metrics for R — confusion matrices, classification and regression measures, ROC and precision-recall curves — with the computation pushed into C++. After a series of pre-releases it now runs on an Armadillo backend, supports OpenMP parallelism and LAPACK/BLAS, and reports 5-20x speedups over its earlier implementations. The API has been reshaped for extensibility, with an estimator argument replacing the fixed aggregation options.

Read the full SLmetrics trajectory →

asar vs SLmetrics: editorial side-by-side

A
asar
INFRA · APIS
0.0

A NOAA report-template generator being debugged by the workshops that teach it.

◆ Current state

asar generates standardized stock assessment report skeletons, with create_template() as the function everything else orbits. The visible release history is short and entirely reactive: two rounds of fixes to template customization and rerendering, then a documentation release moving the project's authoring guidelines onto the package website as living articles. Nothing in the window adds capability.

◆ Where it's heading

The releases are paced by training events rather than a roadmap. The 2.0.0 rerender bugs — blank author sections, parameters not propagating into both the YAML and the params chunk, custom sections mislabelled — are the kind found by people actually filling in a template, and the follow-up hotfix names a workshop explicitly as where the problems surfaced. Moving the guidelines into versioned site articles, revised after workshop feedback, continues that: the standard is being treated as part of the software rather than a document beside it.

◆ Prediction

With a workshop series named as upcoming in the entries, the next release is most likely another round of template fixes reported from a live session rather than new report types.

S
SLmetrics
INFRA · APIS
0.0

A young ML metrics package rewrote its own backend twice in six months chasing speed.

◆ Current state

SLmetrics provides supervised learning evaluation metrics for R — confusion matrices, classification and regression measures, ROC and precision-recall curves — with the computation pushed into C++. After a series of pre-releases it now runs on an Armadillo backend, supports OpenMP parallelism and LAPACK/BLAS, and reports 5-20x speedups over its earlier implementations. The API has been reshaped for extensibility, with an estimator argument replacing the fixed aggregation options.

◆ Where it's heading

Every release in this timeline is about making the same metrics compute faster or compose better. The backend moved from Rcpp to plain C++, gained OpenMP, then was ported wholesale from Eigen to Armadillo with heavy templating. In parallel the author has been widening the API's joints: generic S3 signatures, an extensible estimator argument, and function signatures loose enough that wrapping packages can rename arguments. Bundled datasets and embedded formulas in the docs point at teaching and benchmarking use. The package still labels itself pre-release, which is consistent with how freely it has broken argument names along the way.

◆ Prediction

A stable non-pre-release version is the natural next step now that the backend has settled on Armadillo, though the repeated willingness to rename arguments suggests more API churn may come first.

Alternatives to asar and SLmetrics

Other Infra & APIs 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 asar or SLmetrics.

See all asar alternatives → · See all SLmetrics alternatives →

Recent activity from asar and SLmetrics

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

  1. 2mo agoasarAuthoring guidelines published as living website articles
  2. 6mo agoasarHotfix issues in create_template found during NSAW Workshop
  3. 7mo agoasarPatch bugs found in v2.0.0
  4. 1y agoSLmetricsArmadillo backend brings 5-20x speedups and an extensible metrics API
  5. 1y agoSLmetricsConsistent S3 signatures and three bundled datasets
  6. 1y agoSLmetricsRegression metrics 2-10x faster with reworked OpenMP controls
  7. 1y agoSLmetricsOpenMP parallelism and a soft-label entropy family
  8. 1y agoSLmetricsCross-entropy loss and relative RMSE with three normalisations
  9. 1y agoSLmetricsSample weights flow through the confusion matrix

Frequently asked questions

What is the difference between asar and SLmetrics?

Both compete on the same themes — r-package — within Infra & APIs. asar and SLmetrics 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 asar better than SLmetrics?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. asar and SLmetrics 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 Infra & APIs products to evaluate alongside.

What are the best alternatives to asar?

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

What are the best alternatives to SLmetrics?

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