pr2database
The protist reference database keeps widening past the rRNA gene it was built on.
A side-by-side editorial comparison of midr and trackeR — release velocity, themes, recent moves, and the top alternatives to consider.
A black-box interpreter reaches CRAN, then learns multi-class and survival responses
midr explains black-box models by fitting an interpretable surrogate through Maximum Interpretation Decomposition — main effects plus second-order interactions, with exact Shapley values for the surrogate. Two months after its first CRAN release it can take a matrix response, which covers multi-class classification and survival models, and hold collections of fitted interpretations in midlist and midrib objects for comparison.
Fitness-tracking analysis in slow maintenance, still absorbing upstream breakage.
trackeR reads GPS and fitness-tracker files in TCX, GPX and JSON form and turns them into session data, distribution and concentration profiles, and route plots. Feature work concentrated in the 1.5 series in 2019; the two releases since are corrective. The latest swaps the plot layout dependencies for patchwork and fixes plot_route() returning nothing.
midr explains black-box models by fitting an interpretable surrogate through Maximum Interpretation Decomposition — main effects plus second-order interactions, with exact Shapley values for the surrogate. Two months after its first CRAN release it can take a matrix response, which covers multi-class classification and survival models, and hold collections of fitted interpretations in midlist and midrib objects for comparison.
The releases move outward along two axes at once: what can be interpreted, and how much of it fits in memory. Version 0.5.3 rebuilt the fitting path to avoid materialising large design matrices and added a save.memory option; 0.6.0 widened the response from a vector to a matrix and added parametric link functions. Class and argument names were shortened in the same release, so the package is still willing to break itself this early.
With multiple models now held in one object and visualisation methods for them, comparison across models is the surface most likely to fill out next — the collection classes exist but the notes describe manipulation and plotting rather than any comparison metric.
trackeR reads GPS and fitness-tracker files in TCX, GPX and JSON form and turns them into session data, distribution and concentration profiles, and route plots. Feature work concentrated in the 1.5 series in 2019; the two releases since are corrective. The latest swaps the plot layout dependencies for patchwork and fixes plot_route() returning nothing.
Recent releases track other people's changes: ggmap moving to Stadia maps, gridExtra giving way to patchwork, a cadence field being read into the wrong column. The 2019 entries are where the analysis surface was built out, with cumulative elevation gain, compressed file reading and elevation-noise thresholds, and it has not moved much since.
Expect the next release to be another compatibility or parsing fix rather than a new metric.
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 midr or trackeR.
The protist reference database keeps widening past the rRNA gene it was built on.
Composable aligned layouts, rebuilt on S7 while ggplot2 4.0 lands underneath.
Conservation planning absorbs the literature's target-setting rules as code.
Joint species distribution models in Gibbs-sampled C++, quiet since 2023.
An ecosystem model starts tracking carbon isotopes and land-use change.
Ten years in, US mapping splits its data out and finally adds Puerto Rico.
See all midr alternatives → · See all trackeR alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. midr and trackeR 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. midr and trackeR 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.
Top midr alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "midr alternatives" section above for the current picks, or visit /alternatives/midr for the full list with editorial commentary on each.
Top trackeR alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "trackeR alternatives" section above for the current picks, or visit /alternatives/tracker for the full list with editorial commentary on each.