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Comparison · Infra & APIs

SLmetrics vs tidyaudit

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

Shared themes:r-package

SLmetrics vs tidyaudit: at a glance

FeatureSLmetricstidyaudit
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesmachine-learning, model-evaluation, performance, cpp-backenddata-quality, provenance, tidyverse, pipeline-auditing
Last editorial update2d 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 tidyaudit?

Pipeline provenance for tidyverse workflows, recording what changed at each step without keeping the data.

tidyaudit records lightweight metadata snapshots as data flows through a pipeline — row and column counts, NA counts, and structured diffs between any two points — without storing the data itself. Taps are operation-aware, so join, filter, and anti-join steps each report what that operation specifically did, and validation helpers cover join integrity, primary keys, and variable relationships. The trail can now be exported as a self-contained interactive HTML diagram or serialized to JSON or RDS.

Read the full tidyaudit trajectory →

SLmetrics vs tidyaudit: 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.

T
tidyaudit
INFRA · APIS
0.0

Pipeline provenance for tidyverse workflows, recording what changed at each step without keeping the data.

◆ Current state

tidyaudit records lightweight metadata snapshots as data flows through a pipeline — row and column counts, NA counts, and structured diffs between any two points — without storing the data itself. Taps are operation-aware, so join, filter, and anti-join steps each report what that operation specifically did, and validation helpers cover join integrity, primary keys, and variable relationships. The trail can now be exported as a self-contained interactive HTML diagram or serialized to JSON or RDS.

◆ Where it's heading

The arc is from inspection to artifact. The first release made the trail something you print and read; 0.2.0 made it something you can hand to someone else or feed to another program, with the HTML export deliberately requiring no server and no Shiny. Reporting has been refined in the same direction, with a tabular changes block showing from-and-to values with row, column, and NA deltas. The remaining work in the window is defensive — a factor-handling path rebuilt because R-devel tightened what as.data.frame.table() accepts in row names.

◆ Prediction

With serialization and a standalone export in place, the natural next step is making trails comparable across runs rather than only across steps within one, though nothing in the entries commits to it yet.

Alternatives to SLmetrics and tidyaudit

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 tidyaudit.

See all SLmetrics alternatives → · See all tidyaudit alternatives →

Recent activity from SLmetrics and tidyaudit

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

  1. 3mo agotidyauditFactor auditing fixed against a stricter R-devel
  2. 4mo agotidyauditTrails export to standalone HTML and machine-readable formats
  3. 5mo agotidyauditFirst release: pipeline audit trails for tidyverse
  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 tidyaudit?

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

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

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