HydroPortailStats
France's national flood statistics, ported out of Fortran and into R.
Comparison · Infra & APIs
MachineShop vs metR
A side-by-side editorial comparison of MachineShop and metR — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
MachineShop vs metR: at a glance
What is MachineShop?
A mature R modelling framework refining variable importance and resampling controls
MachineShop provides a unified interface over a wide set of R model packages, handling fitting, resampling, performance metrics and variable importance behind one API. Recent releases are narrow and mostly corrective: 3.9.2 removed dead documentation links and fixed a Java parameter in a BART example, 3.9.1 ensured global settings reach compute nodes when varimp() runs in parallel and patched XGBoost model compatibility. The last release with real surface change was 3.9.0, which added offset support to XGBModel and a pool argument to calibration() controlling whether calibration curves are computed on pooled predictions or averaged across resampling iterations.
What is metR?
A meteorology ggplot2 extension where the netCDF reader became the main event
metR supplies meteorological and oceanographic tools for R: contour and streamline geoms, EOF decomposition, wave fitting, and ReadNetCDF() for getting gridded data in. Development has concentrated heavily on that reader. Version 0.18.0 added subsetting by dimension index, so the first or last ten timesteps can be read without knowing how many exist; 0.18.1 moved time parsing to the CFtime package; 0.18.2 added cdo operations through rcdo and reading across multiple files in parallel, and fixed a subsetting bug where nearest-gridpoint matching could return data outside the requested range entirely.
MachineShop vs metR: editorial side-by-side
MachineShop
0.0INFRA · APIS
A mature R modelling framework refining variable importance and resampling controls
◆ Current state
MachineShop provides a unified interface over a wide set of R model packages, handling fitting, resampling, performance metrics and variable importance behind one API. Recent releases are narrow and mostly corrective: 3.9.2 removed dead documentation links and fixed a Java parameter in a BART example, 3.9.1 ensured global settings reach compute nodes when varimp() runs in parallel and patched XGBoost model compatibility. The last release with real surface change was 3.9.0, which added offset support to XGBModel and a pool argument to calibration() controlling whether calibration curves are computed on pooled predictions or averaged across resampling iterations.
◆ Where it's heading
Development has concentrated on variable importance and resampling rather than on adding models. 3.8.0 restructured the VariableImportance class to record which method and metric produced it, with an update() method to migrate objects from earlier versions, and extended term-specific p-values to Cox, POLR and survival regression models. 3.7.0 added grouped and stratified resampling to the control objects. The pace has slowed markedly - four releases in the last two years against six in the two before - and the recent content is compatibility work against XGBoost, parsnip, ggplot2 and recipes.
◆ Prediction
Expect the deprecated calibration pooling behaviour to be removed in a future release as the notes state, with the intervening versions continuing to track upstream model package changes.
metR
0.0INFRA · APIS
A meteorology ggplot2 extension where the netCDF reader became the main event
◆ Current state
metR supplies meteorological and oceanographic tools for R: contour and streamline geoms, EOF decomposition, wave fitting, and ReadNetCDF() for getting gridded data in. Development has concentrated heavily on that reader. Version 0.18.0 added subsetting by dimension index, so the first or last ten timesteps can be read without knowing how many exist; 0.18.1 moved time parsing to the CFtime package; 0.18.2 added cdo operations through rcdo and reading across multiple files in parallel, and fixed a subsetting bug where nearest-gridpoint matching could return data outside the requested range entirely.
◆ Where it's heading
Two threads run through the releases. The first is tracking ggplot2, absorbing the linewidth aesthetic, the trans to transform rename and guide compatibility as each landed upstream. The second is narrowing scope while deepening the data path: GetSMNData() was made defunct as too specific for a general package, raster and gdal dependencies were removed, and the udunits2 dependency was dropped when it was orphaned, initially replaced by a homebrewed date parser and eventually by CFtime. The result is a package steadily shedding its own code in favour of specialised upstream libraries.
◆ Prediction
Expect further ReadNetCDF() work, since it has received features in four of the last five releases and the rcdo integration opens a large surface of operations to expose.
Alternatives to MachineShop and metR
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 MachineShop or metR.
bsvarSIGNs
Sign, zero and narrative restrictions brought into the bsvars ecosystem.
estimatr
Fast design-based estimators for experiments, coasting on CRAN patches.
ggdist
The grammar of uncertainty visualization, now drawing the uncertainty in its own estimates.
ipaddress
IP address vectors for R that hit 1.0 and then went quiet.
ltertools
A column-key toolkit for stitching decades of ecological field data into one table.
See all MachineShop alternatives → · See all metR alternatives →
Recent activity from MachineShop and metR
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 5mo agoMachineShopDocumentation link cleanup and a BART example fix
- 7mo agometRSubset notation fix in the netCDF reader
- 8mo agoMachineShopGlobal settings now reach compute nodes during parallel varimp
- 11mo agometRcdo operations, parallel multi-file reads, and a subsetting correctness fix
- 1y agoMachineShopOffset support for XGBoost and per-iteration calibration curves
- 1y agometRnetCDF time parsing handed to the CFtime package
- 1y agometRnetCDF subsetting by dimension index
- 1y agometRLongitude scales pass the transform argument correctly
- 1y agometREOF rotation takes a function, and scope narrows
- 1y agoMachineShopVariable importance objects record their own method and metric
- 2y agoMachineShopGrouped and stratified resampling in the control objects
- 3y agoMachineShopBackward compatibility for older model objects
Frequently asked questions
What is the difference between MachineShop and metR?
Both compete on the same themes — r-package — within Infra & APIs. MachineShop and metR 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 MachineShop better than metR?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. MachineShop and metR 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 MachineShop?
Top MachineShop alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "MachineShop alternatives" section above for the current picks, or visit /alternatives/machineshop for the full list with editorial commentary on each.
What are the best alternatives to metR?
Top metR alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "metR alternatives" section above for the current picks, or visit /alternatives/metr for the full list with editorial commentary on each.