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Comparison · Infra & APIs

phyloatlas vs SLmetrics

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

phyloatlas vs SLmetrics: at a glance

FeaturephyloatlasSLmetrics
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesphylogenetics, research-data, data-provenance, open-sciencemachine-learning, model-evaluation, performance, cpp-backend
Last editorial update58m ago2d ago
WebsiteVisit →Visit →

What is phyloatlas?

An atlas of the tree of life that keeps publishing what it got wrong, and stopped shipping the trees it does not own.

This is a curated deposit of species-level phylogenies — 264 trees across 62 partitions, 247 of them time-calibrated — paired with a species-name dictionary of roughly 638,000 standardized labels and per-tree provenance. It is moving through peer review at Methods in Ecology and Evolution, and the release stream is essentially a public erratum log: eight releases in five weeks, each reconciling the deposit against source papers, the manuscript, and its own metadata. The most recent replaced the turtle canonical with a 274-tip ultrametric chronogram after the previous tree failed time-calibration integrity checks.

Read the full phyloatlas 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 →

phyloatlas vs SLmetrics: editorial side-by-side

P
phyloatlas
INFRA · APIS
0.0

An atlas of the tree of life that keeps publishing what it got wrong, and stopped shipping the trees it does not own.

◆ Current state

This is a curated deposit of species-level phylogenies — 264 trees across 62 partitions, 247 of them time-calibrated — paired with a species-name dictionary of roughly 638,000 standardized labels and per-tree provenance. It is moving through peer review at Methods in Ecology and Evolution, and the release stream is essentially a public erratum log: eight releases in five weeks, each reconciling the deposit against source papers, the manuscript, and its own metadata. The most recent replaced the turtle canonical with a 274-tip ultrametric chronogram after the previous tree failed time-calibration integrity checks.

◆ Where it's heading

The project's defining decision is that it archives the recipe rather than the corpus. Since 1.0.3 the Zenodo deposit holds metadata, provenance, and standardization code while the tree files live at their original sources, and the same principle was applied again when the TimeTree-of-Life was removed at the TimeTree project's request and reduced to a citation. What makes the correction log unusual is its direction: partitions keep getting reclassified from dated to undated as verification confirms the source papers described chronograms they never deposited. The atlas is being built to be honest about archival uncertainty rather than to maximize coverage.

◆ Prediction

The release cadence is driven by the manuscript review cycle, so expect corrections to continue until MEE acceptance and then slow sharply; the open thread most likely to produce the next one is the remaining recoverable archival uncertainty flagged across non-Condamine dated source trees.

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 phyloatlas 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 phyloatlas or SLmetrics.

See all phyloatlas alternatives → · See all SLmetrics alternatives →

Recent activity from phyloatlas and SLmetrics

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

  1. 1mo agophyloatlasv1.0.8 — turtle chronogram canonical; MEE integrity pass
  2. 1mo agophyloatlasv1.0.7 — restore species-name dictionary
  3. 1mo agophyloatlasv1.0.6 — data-integrity corrections + TimeTree de-redistribution
  4. 2mo agophyloatlasv1.0.5 — consistency corrections
  5. 2mo agophyloatlasv1.0.4 — data corrections + canonical succession (Supplementary Table S7)
  6. 2mo agophyloatlasv1.0.3 — title alignment, LICENSE, three-category framework, sensitivity bounds
  7. 1y agoSLmetricsArmadillo backend brings 5-20x speedups and an extensible metrics API
  8. 1y agoSLmetricsConsistent S3 signatures and three bundled datasets
  9. 1y agoSLmetricsRegression metrics 2-10x faster with reworked OpenMP controls
  10. 1y agoSLmetricsOpenMP parallelism and a soft-label entropy family
  11. 1y agoSLmetricsCross-entropy loss and relative RMSE with three normalisations
  12. 1y agoSLmetricsSample weights flow through the confusion matrix

Frequently asked questions

What is the difference between phyloatlas and SLmetrics?

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

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

Top phyloatlas alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "phyloatlas alternatives" section above for the current picks, or visit /alternatives/phylo-species-atlas 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.