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Comparison · Analytics
GSODR vs mlr3cmprsk
A side-by-side editorial comparison of GSODR and mlr3cmprsk — release velocity, themes, recent moves, and the top alternatives to consider.
GSODR vs mlr3cmprsk: at a glance
What is GSODR?
A weather-station data client that broke one return type to hand back distances instead of bare IDs.
GSODR fetches and tidies NOAA Global Surface Summary of the Day weather data for R. The 4.0.0 release made nearest_stations() return a data.table of full station metadata plus distance in kilometres rather than a character vector of station IDs, with a documented one-liner for anyone who only wanted the IDs. Nothing has shipped since March 2024.
What is mlr3cmprsk?
Competing risks arrive in mlr3, going from a non-parametric baseline to Fine-Gray regression in seven weeks.
mlr3cmprsk extends mlr3 to competing-risks analysis: learners predicting cumulative incidence functions, plus measures to score them. It appeared in February 2026 and reached 0.0.5 by April, adding a Fine-Gray learner and a Brier score along the way. The version numbers say pre-release; the cadence says active build-out.
GSODR vs mlr3cmprsk: editorial side-by-side
GSODR
0.0ANALYTICS
A weather-station data client that broke one return type to hand back distances instead of bare IDs.
◆ Current state
GSODR fetches and tidies NOAA Global Surface Summary of the Day weather data for R. The 4.0.0 release made nearest_stations() return a data.table of full station metadata plus distance in kilometres rather than a character vector of station IDs, with a documented one-liner for anyone who only wanted the IDs. Nothing has shipped since March 2024.
◆ Where it's heading
The package is mature and its releases read as upkeep: refreshing the internal ISD history database, dropping dependencies in favour of base and curl, and hardening the download path against station-year combinations that do not exist. The 4.0.0 change fits the same pattern of returning more structure by default rather than making callers query twice.
◆ Prediction
The most likely next release is another internal station-history refresh; there is no signal of new data sources or analysis features in these entries.
mlr3cmprsk
0.0ANALYTICS
Competing risks arrive in mlr3, going from a non-parametric baseline to Fine-Gray regression in seven weeks.
◆ Current state
mlr3cmprsk extends mlr3 to competing-risks analysis: learners predicting cumulative incidence functions, plus measures to score them. It appeared in February 2026 and reached 0.0.5 by April, adding a Fine-Gray learner and a Brier score along the way. The version numbers say pre-release; the cadence says active build-out.
◆ Where it's heading
The package assembled a working evaluation stack fast. It started with the Aalen-Johansen estimator as a non-parametric baseline, added Fine-Gray as a regression alternative, then filled in the scoring side with an AUC refactor and a fixed-time Brier score. Development has run in lockstep with survdistr and mlr3extralearners, which picked up the dependency at 1.5.2.
◆ Prediction
The visible gaps are more learners — cause-specific Cox and boosting variants — and the tuning and pipeline integration the rest of mlr3 expects; the measure side currently looks further along than the model side.
Alternatives to GSODR and mlr3cmprsk
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 GSODR or mlr3cmprsk.
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lobstr
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giscoR
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See all GSODR alternatives → · See all mlr3cmprsk alternatives →
Recent activity from GSODR and mlr3cmprsk
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 4mo agomlr3cmprskBrier score for competing risks and an AUC refactor
- 4mo agomlr3cmprskFine-Gray learner brings regression modelling to competing risks ⚡
- 4mo agomlr3cmprskAalen-Johansen learner gains standard mlr3 properties
- 4mo agomlr3cmprskCIF interpolation pulled from survdistr
- 5mo agomlr3cmprskFirst release on mlr-org.r-universe
- 2y agoGSODRnearest_stations() returns metadata and distances
- 2y agoGSODRStation history refresh and internal tidying
- 2y agoGSODRBad station-year requests warn instead of failing the batch
Frequently asked questions
What is the difference between GSODR and mlr3cmprsk?
They serve adjacent needs but don't currently overlap on shipped themes. GSODR and mlr3cmprsk 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 GSODR better than mlr3cmprsk?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. GSODR and mlr3cmprsk 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 Analytics products to evaluate alongside.
What are the best alternatives to GSODR?
Top GSODR alternatives in Analytics are ranked by recent ship velocity. Browse the "GSODR alternatives" section above for the current picks, or visit /alternatives/gsodr for the full list with editorial commentary on each.
What are the best alternatives to mlr3cmprsk?
Top mlr3cmprsk alternatives in Analytics are ranked by recent ship velocity. Browse the "mlr3cmprsk alternatives" section above for the current picks, or visit /alternatives/mlr3cmprsk for the full list with editorial commentary on each.