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Comparison · Infra & APIs
discretetests vs SLmetrics
A side-by-side editorial comparison of discretetests and SLmetrics — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
discretetests vs SLmetrics: at a glance
What is discretetests?
Four years of releases land in four minutes as the changelog gets backfilled to GitHub
DiscreteTests computes exact p-values and their full support for discrete statistical tests, returning results as a class that carries the observations, the test statistic and the null distribution. All four visible releases were tagged within four minutes of each other on a single day in May 2026, in reverse order — 0.4.1 carries the earliest timestamp and 0.4.0 the latest — so this is a historical changelog being pushed to GitHub at once, not four days of work.
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.
discretetests vs SLmetrics: editorial side-by-side
discretetests
0.0INFRA · APIS
Four years of releases land in four minutes as the changelog gets backfilled to GitHub
◆ Current state
DiscreteTests computes exact p-values and their full support for discrete statistical tests, returning results as a class that carries the observations, the test statistic and the null distribution. All four visible releases were tagged within four minutes of each other on a single day in May 2026, in reverse order — 0.4.1 carries the earliest timestamp and 0.4.0 the latest — so this is a historical changelog being pushed to GitHub at once, not four days of work.
◆ Where it's heading
Read by version rather than by timestamp, the package grew from binomial, Fisher, McNemar and Poisson tests into rank-based and resampling territory: Wilcoxon signed rank and rank sum, Mann-Whitney U, a conditional homogeneity test, then sign tests and a general permutation test with several built-in statistics. Alongside that the result class was extended to hold ragged observation lists and computational detail, the print output was rewritten on cli, and the old dot-separated function names were made defunct.
◆ Prediction
The permutation test with pluggable statistics is the most open-ended addition here, and adding further built-in statistics to it is the cheapest way to extend the package from where it now stands.
SLmetrics
0.0INFRA · APIS
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 discretetests 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 discretetests or SLmetrics.
portfoliobacktest
Four dormant years end with a test fix, not a feature
medicalcoder
A comorbidity-coding package relicenses to BSD and grows past the American coding systems
Dragonfly
Dragonfly spends its releases on correctness in the parts of Redis compatibility nobody tests.
Unleash
Three kill-switch explainers to one point release — Unleash's feed is content-led, not release-led.
Jackett
Jackett's daily release treadmill now spends commits undoing tracker removals it made days earlier.
See all discretetests alternatives → · See all SLmetrics alternatives →
Recent activity from discretetests and SLmetrics
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2mo agodiscretetestsSign tests and a pluggable permutation test
- 2mo agodiscretetestsInput observation names carried through results
- 2mo agodiscretetestsWilcoxon, Mann-Whitney and homogeneity tests join the package
- 2mo agodiscretetestsmacOS compilation fix
- 1y agoSLmetricsArmadillo backend brings 5-20x speedups and an extensible metrics API ⚡
- 1y agoSLmetricsConsistent S3 signatures and three bundled datasets
- 1y agoSLmetricsRegression metrics 2-10x faster with reworked OpenMP controls
- 1y agoSLmetricsOpenMP parallelism and a soft-label entropy family
- 1y agoSLmetricsCross-entropy loss and relative RMSE with three normalisations
- 1y agoSLmetricsSample weights flow through the confusion matrix
Frequently asked questions
What is the difference between discretetests and SLmetrics?
Both compete on the same themes — r-package — within Infra & APIs. discretetests 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 discretetests better than SLmetrics?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. discretetests 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 discretetests?
Top discretetests alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "discretetests alternatives" section above for the current picks, or visit /alternatives/discretetests 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.