accessr
One R Markdown source, four accessible formats — and a fortnight spent patching around someone else's bug.
Comparison · Infra & APIs
q2 vs SLmetrics
A side-by-side editorial comparison of q2 and SLmetrics — release velocity, themes, recent moves, and the top alternatives to consider.
q2 vs SLmetrics: at a glance
What is q2?
Two surfaces the original Quarto never had: llms.txt output and a live-share preview.
q2 is the Quarto team's Rust reimplementation, shipping as a statically linked single binary with signed archives and a bundled Quarto Hub MCP server, still marked experimental and not production-ready. The cadence has held at roughly a release a day through mid-August, with raw commit logs standing in for curated notes. Until v0.22.0 the programme read as pure parity work against the existing Quarto — investigate, record design decisions, write tests red, implement in numbered phases. That release is the first to ship capability the original toolchain does not have.
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.
q2 vs SLmetrics: editorial side-by-side
q2
7.5INFRA · APIS
Two surfaces the original Quarto never had: llms.txt output and a live-share preview.
◆ Current state
q2 is the Quarto team's Rust reimplementation, shipping as a statically linked single binary with signed archives and a bundled Quarto Hub MCP server, still marked experimental and not production-ready. The cadence has held at roughly a release a day through mid-August, with raw commit logs standing in for curated notes. Until v0.22.0 the programme read as pure parity work against the existing Quarto — investigate, record design decisions, write tests red, implement in numbered phases. That release is the first to ship capability the original toolchain does not have.
◆ Where it's heading
The parity grind continues underneath — toc-location, add_html_dependency versioning, execute-visibility across both engines — but two strands now point past it. website.llms-txt makes a rendered site emit a machine-readable representation of itself: an llms.txt index, per-page .md companions, and a concatenated llms-full.txt, dogfooded on q2's own docs. The second is a long-running preview branch (PR #464, merged here) that turns q2 preview into a live-share editor with joinable guest sessions over an n0 relay and ephemeral, read-only-by-default boots. A reimplementation that only reaches parity has no argument for itself; these two give it one.
◆ Prediction
Expect the llms-txt and live-share strands to keep absorbing releases now that both have landed end-to-end, with the remaining Q1 parity items filling the gaps. The commit logs still name npx distribution for the standalone MCP bundle as the one explicitly planned item.
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 q2 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 q2 or SLmetrics.
rJavaEnv
The R package that installs Java for you stopped needing an update every time Java ships.
traits.build
The AusTraits engine, generalised for anyone's trait database, now links measurements to real specimens.
rwasm
The toolchain that gets R packages into the browser is optimising for payload size, not features.
Fail2Ban
Fail2Ban finally ships 1.1.1 after 14 months in beta, with a botched deb package on the way out the door
plogr
A logging header for Rcpp packages that sat untouched for nine years, then changed how it switches on
See all q2 alternatives → · See all SLmetrics alternatives →
Recent activity from q2 and SLmetrics
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoq2llms.txt site output and a live-share collaborative preview ⚡
- 2d agoq2TOC entries carry inline markup; draft banner restored
- 3d agoq2Adds alias redirect stubs and diagnostic suppression
- 4d agoq2Bumps samod and automerge; fixes indented continuations
- 4d agoq2Lua filters supported; mermaid bundled instead of CDN-loaded ⚡
- 5d agoq2Mermaid cell options, callout titles, email autolinks
- 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 q2 and SLmetrics?
They serve adjacent needs but don't currently overlap on shipped themes. q2 is currently shipping more aggressively (velocity 7.5 vs 0.0), with 2 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is q2 better than SLmetrics?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. q2 is currently shipping more aggressively (velocity 7.5 vs 0.0), with 2 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
What are the best alternatives to q2?
Top q2 alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "q2 alternatives" section above for the current picks, or visit /alternatives/q2 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.