compositional.mle
An MLE package rebuilt around composable solvers, then renamed to match.
Comparison · Analytics
hubEvals vs patRoon
A side-by-side editorial comparison of hubEvals and patRoon — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
hubEvals vs patRoon: at a glance
What is hubEvals?
Forecast-hub scoring that learned to handle joint, sample-based predictions.
hubEvals scores model output from collaborative forecasting hubs, wrapping scoringutils and translating hubverse formats into forecast objects it can evaluate. The package has moved quickly from a thin translation layer to something that handles every output type the hubverse defines — quantile, mean, median, nominal and ordinal pmf, and samples. The most recent releases are almost entirely about the failure modes of relative skill scoring rather than about new metrics.
What is patRoon?
patRoon 3.0.0 adds ion mobility, opening a dimension its workflows never had.
patRoon is an R workflow platform for non-target mass spectrometry screening, orchestrating feature detection, grouping, annotation and identification across many external tools. Version 3.0.0 is a major release adding support for ion mobility separation, new feature detection and grouping algorithms, revised identification confidence estimation, and use of sample metadata. The preceding five releases were maintenance, with the last comparable step being MS2Tox and MS2Quant integration in 2.3.0.
hubEvals vs patRoon: editorial side-by-side
hubEvals
2.5ANALYTICS
Forecast-hub scoring that learned to handle joint, sample-based predictions.
◆ Current state
hubEvals scores model output from collaborative forecasting hubs, wrapping scoringutils and translating hubverse formats into forecast objects it can evaluate. The package has moved quickly from a thin translation layer to something that handles every output type the hubverse defines — quantile, mean, median, nominal and ordinal pmf, and samples. The most recent releases are almost entirely about the failure modes of relative skill scoring rather than about new metrics.
◆ Where it's heading
Two threads dominate. The first is coverage of output types, which reached its widest point with sample-based and compound scoring. The second, and the one occupying every recent release, is making relative skill degrade gracefully: single-model input, comparison groups with one model, and groups missing the requested baseline have each been converted from a cryptic upstream abort into a defined result. That pattern — inherited scoringutils errors being caught and given hub-specific meaning — is the clearest signal of where this package adds value.
◆ Prediction
Expect continued work smoothing scoringutils error surfaces into hub-aware behaviour, and performance attention on relative skill, which was explicitly optimised in the latest release.
patRoon
0.0ANALYTICS
patRoon 3.0.0 adds ion mobility, opening a dimension its workflows never had.
◆ Current state
patRoon is an R workflow platform for non-target mass spectrometry screening, orchestrating feature detection, grouping, annotation and identification across many external tools. Version 3.0.0 is a major release adding support for ion mobility separation, new feature detection and grouping algorithms, revised identification confidence estimation, and use of sample metadata. The preceding five releases were maintenance, with the last comparable step being MS2Tox and MS2Quant integration in 2.3.0.
◆ Where it's heading
The pattern is long maintenance stretches punctuated by releases that add a whole capability: toxicity and concentration prediction at 2.3.0, then ion mobility at 3.0.0. Feed entries are short pointers to the NEWS file rather than full changelogs, so the fine detail of each release sits outside this feed, but the headline claims are specific enough to read direction from. The upgrade notes flagged in the 3.0.0 summary indicate this one is not a drop-in replacement.
◆ Prediction
Expect the next releases to be maintenance work stabilising the ion mobility path, following the same rhythm that followed 2.3.0.
Alternatives to hubEvals and patRoon
Other Analytics 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 hubEvals or patRoon.
nabla
nabla dropped its C++ engine to chase exact derivatives at any order.
snowflakeauth
Eight months from first release to keyring caching and workload identity.
kwb.geosalz
A research-project workflow package where the interesting work is in the plumbing.
cyclocomp
A cyclomatic complexity checker that ships once every couple of years, and lands when it does.
revdbayes
Extreme value sampling in pure upkeep mode, mostly answering to Rcpp and CRAN.
See all hubEvals alternatives → · See all patRoon alternatives →
Recent activity from hubEvals and patRoon
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 24d agohubEvalsScored-forecast counts and faster relative skill
- 1mo agohubEvalsDisaggregated relative skill no longer aborts the whole call
- 1mo agohubEvalsSingle-model scoring returns relative skill of 1 instead of erroring
- 4mo agopatRoonIon mobility separation support arrives in patRoon ⚡
- 5mo agohubEvalsSample output types and multivariate compound scoring ⚡
- 6mo agohubEvalsScoring on transformed scales via transform arguments
- 11mo agohubEvalsFirst release: score_model_out() and the scoringutils bridge
- 11mo agopatRoonMaintenance release fixing an MS2Tox issue
- 1y agopatRoonSIRIUS login procedure corrected, plus minor additions
- 2y agopatRoonBug fixes and minor new functionality
- 2y agopatRoonBug fixes with upgrading instructions
- 2y agopatRoonInstallation simplified; MS2Tox and MS2Quant integrated
Frequently asked questions
What is the difference between hubEvals and patRoon?
Both compete on the same themes — r-package — within Analytics. hubEvals 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.
Is hubEvals better than patRoon?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. hubEvals 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 Analytics products to evaluate alongside.
What are the best alternatives to hubEvals?
Top hubEvals alternatives in Analytics are ranked by recent ship velocity. Browse the "hubEvals alternatives" section above for the current picks, or visit /alternatives/hubevals for the full list with editorial commentary on each.
What are the best alternatives to patRoon?
Top patRoon alternatives in Analytics are ranked by recent ship velocity. Browse the "patRoon alternatives" section above for the current picks, or visit /alternatives/patroon for the full list with editorial commentary on each.