compositional.mle
An MLE package rebuilt around composable solvers, then renamed to match.
Comparison · Analytics
hubEvals vs kwb.geosalz
A side-by-side editorial comparison of hubEvals and kwb.geosalz — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
hubEvals vs kwb.geosalz: 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 kwb.geosalz?
A research-project workflow package where the interesting work is in the plumbing.
kwb.geosalz documents the data workflows for GeoSalz, a groundwater salinisation project run by Kompetenzzentrum Wasser Berlin, packaging retrieval, checking and plotting steps as reproducible R code. The current release replaces an SFTP dependency with curl and reports listing files on the SFTP server running 50 to 100 times faster. Earlier releases added data-availability workflows against Berlin's open water portal and functions for well-field abstraction figures.
hubEvals vs kwb.geosalz: 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.
kwb.geosalz
0.0ANALYTICS
A research-project workflow package where the interesting work is in the plumbing.
◆ Current state
kwb.geosalz documents the data workflows for GeoSalz, a groundwater salinisation project run by Kompetenzzentrum Wasser Berlin, packaging retrieval, checking and plotting steps as reproducible R code. The current release replaces an SFTP dependency with curl and reports listing files on the SFTP server running 50 to 100 times faster. Earlier releases added data-availability workflows against Berlin's open water portal and functions for well-field abstraction figures.
◆ Where it's heading
Releases track the project's own data-collection reality rather than a software roadmap: new data source appears, a workflow is added; a transfer library becomes a liability, it is swapped out. The measurement-chain pipeline is the recurring subject, appearing in plotting fixes at 0.7.1 and the transport rewrite at 0.7.2. Cadence is roughly annual and the changelog is written for project members, which makes external readability secondary by design.
◆ Prediction
Expect the next release to follow the measurement-chain data as it accumulates, most likely more plotting or availability-checking work rather than new infrastructure.
Alternatives to hubEvals and kwb.geosalz
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 kwb.geosalz.
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.
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.
lazyeval
A package retired in 2017 just got rewritten against R's public C API.
See all hubEvals alternatives → · See all kwb.geosalz alternatives →
Recent activity from hubEvals and kwb.geosalz
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
- 5mo agohubEvalsSample output types and multivariate compound scoring ⚡
- 5mo agokwb.geosalzSFTP transfers moved to curl, file listing 50-100x faster
- 6mo agohubEvalsScoring on transformed scales via transform arguments
- 11mo agohubEvalsFirst release: score_model_out() and the scoringutils bridge
- 1y agokwb.geosalzConductivity outliers filtered from measurement chain plots
- 2y agokwb.geosalzRelease rolling up vignette cleanup and well operation work
- 4y agokwb.geosalzWasserportal Berlin workflow and CRS conversion added
- 4y agokwb.geosalzAnnual well-field abstraction figures retrievable
- 7y agokwb.geosalzInitial release scaffolded from the in-house package template
Frequently asked questions
What is the difference between hubEvals and kwb.geosalz?
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 kwb.geosalz?
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 kwb.geosalz?
Top kwb.geosalz alternatives in Analytics are ranked by recent ship velocity. Browse the "kwb.geosalz alternatives" section above for the current picks, or visit /alternatives/kwb-geosalz for the full list with editorial commentary on each.