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Comparison · Infra & APIs

SLmetrics vs whirl

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

SLmetrics vs whirl: at a glance

FeatureSLmetricswhirl
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesmachine-learning, model-evaluation, performance, cpp-backendreproducibility, clinical reporting, provenance, logging
Last editorial update1d ago1h ago
WebsiteVisit →Visit →

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 →

What is whirl?

whirl turned script logging into a standardized provenance artifact regulators can read.

A parallel R script runner that produces execution logs, aimed at regulated analysis environments. The 0.3.0 release added write_biocompute(), emitting logs as BioCompute Objects in standardized JSON, and simplified the approved-package check to a plain package@version vector. Since then the work has been about what the log can be trusted to contain: an environment_secrets option to keep secret variables out of it, direct versus indirect package usage distinguished and highlighted against the approved list, and the same approval check extended to Python packages.

Read the full whirl trajectory →

SLmetrics vs whirl: editorial side-by-side

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.

W
whirl
INFRA · APIS
0.0

whirl turned script logging into a standardized provenance artifact regulators can read.

◆ Current state

A parallel R script runner that produces execution logs, aimed at regulated analysis environments. The 0.3.0 release added write_biocompute(), emitting logs as BioCompute Objects in standardized JSON, and simplified the approved-package check to a plain package@version vector. Since then the work has been about what the log can be trusted to contain: an environment_secrets option to keep secret variables out of it, direct versus indirect package usage distinguished and highlighted against the approved list, and the same approval check extended to Python packages.

◆ Where it's heading

The through-line is the log as evidence rather than as debugging output. Every recent addition either widens what the log proves — which packages were really used, in which language, against which approved list — or narrows what it must not leak. Setting options only through an explicit with_options argument to run() and getting renv library paths right for Quarto both point the same way: reproducible, auditable child sessions with nothing implicit.

◆ Prediction

Expect the approved-package and provenance machinery to keep expanding across languages and environments, since Python approval checks followed the R ones and both feed the same log.

Alternatives to SLmetrics and whirl

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 SLmetrics or whirl.

See all SLmetrics alternatives → · See all whirl alternatives →

Recent activity from SLmetrics and whirl

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

  1. 6mo agowhirlExplicit option passing to child sessions; renv path fix
  2. 11mo agowhirlLogs flag package approval status and exclude secrets
  3. 1y agowhirlwhirl 0.3.0
  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 SLmetrics and whirl?

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

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. SLmetrics and whirl 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 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.

What are the best alternatives to whirl?

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