accessr
One R Markdown source, four accessible formats — and a fortnight spent patching around someone else's bug.
A side-by-side editorial comparison of g6R and SLmetrics — release velocity, themes, recent moves, and the top alternatives to consider.
An R binding whose releases are mostly the upstream JS graph engine arriving, plus port ergonomics.
g6R wraps AntV's G6 graph engine as an htmlwidget, with Shiny proxy functions for data updates, layout control and mouse position read-back. The current release bundles G6 5.1.1 and ships the widget as a single self-contained bundle, having removed the split chunk. Recent work has concentrated on ports, the connection points nodes expose, with a new label-bottom placement, a larger default radius and a quieter hover state.
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.
g6R wraps AntV's G6 graph engine as an htmlwidget, with Shiny proxy functions for data updates, layout control and mouse position read-back. The current release bundles G6 5.1.1 and ships the widget as a single self-contained bundle, having removed the split chunk. Recent work has concentrated on ports, the connection points nodes expose, with a new label-bottom placement, a larger default radius and a quieter hover state.
Two threads run through the record. One is upstream tracking: the 0.6.5 engine bump alone restored the SVG renderer, fixed a combo-related canvas crash and pulled in new node and edge query APIs, which is a lot of user-visible change that this package did not author. The other is R-side ergonomics, where ports have been reworked in three consecutive releases and 0.5.0 added data validation strict enough that the notes warn existing code may break. Layout behaviour has moved toward explicit control, with recomputation now opt-in via an option and a dedicated proxy function.
The port work looks unfinished given three releases in a row on it, so more placement and styling options are the likeliest next step, alongside another engine bump as G6 5.1.x moves. Nothing in these entries indicates a direction beyond keeping pace with upstream.
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.
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.
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.
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 g6R or SLmetrics.
One R Markdown source, four accessible formats — and a fortnight spent patching around someone else's bug.
The R package that installs Java for you stopped needing an update every time Java ships.
The AusTraits engine, generalised for anyone's trait database, now links measurements to real specimens.
The toolchain that gets R packages into the browser is optimising for payload size, not features.
Fail2Ban finally ships 1.1.1 after 14 months in beta, with a botched deb package on the way out the door
A logging header for Rcpp packages that sat untouched for nine years, then changed how it switches on
See all g6R alternatives → · See all SLmetrics alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. g6R is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. g6R is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 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.
Top g6R alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "g6R alternatives" section above for the current picks, or visit /alternatives/g6r for the full list with editorial commentary on each.
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.