compositional.mle
An MLE package rebuilt around composable solvers, then renamed to match.
Comparison · Analytics
hubData vs revdbayes
A side-by-side editorial comparison of hubData and revdbayes — release velocity, themes, recent moves, and the top alternatives to consider.
hubData vs revdbayes: at a glance
What is hubData?
The Arrow data layer for forecast hubs, spending its releases on cloud and materialisation bugs.
hubData is the access layer for hubverse forecasting hubs, connecting to local and cloud-stored model output through Arrow and handing back lazy connections or materialised tibbles. Its releases divide sharply between schema and utility additions in the 1.x line and, more recently, a run of defect fixes in the cloud and Arrow integration. Two of those fixes involved data being silently wrong rather than an error being raised.
What is revdbayes?
Extreme value sampling in pure upkeep mode, mostly answering to Rcpp and CRAN.
revdbayes performs Bayesian extreme value analysis using ratio-of-uniforms sampling, giving random samples rather than MCMC chains. Every entry in the visible window is filed under bug fixes and minor improvements. The most recent, 1.5.7, strips missing values before fitting the generalised Pareto MLE; the two before it are an Rcpp compatibility patch and a response to CRAN check failures that turned out to be false positives.
hubData vs revdbayes: editorial side-by-side
hubData
0.0ANALYTICS
The Arrow data layer for forecast hubs, spending its releases on cloud and materialisation bugs.
◆ Current state
hubData is the access layer for hubverse forecasting hubs, connecting to local and cloud-stored model output through Arrow and handing back lazy connections or materialised tibbles. Its releases divide sharply between schema and utility additions in the 1.x line and, more recently, a run of defect fixes in the cloud and Arrow integration. Two of those fixes involved data being silently wrong rather than an error being raised.
◆ Where it's heading
The package has largely finished adding surface and is now paying down the cost of sitting on top of Arrow and S3: ALTREP-backed columns escaping into user sessions, cloud hubs whose declared format differs from what is actually written, and metadata arrays parsing inconsistently. Each fix narrows the gap between what the storage layer does and what an R user expects. The performance-motivated default flip in 2.0.0 points the same way, prioritising large cloud hubs over conservative local behaviour.
◆ Prediction
Expect continued fixes at the Arrow and cloud boundary, particularly where declared hub configuration and actual stored format disagree, which has now produced defects twice.
revdbayes
0.0ANALYTICS
Extreme value sampling in pure upkeep mode, mostly answering to Rcpp and CRAN.
◆ Current state
revdbayes performs Bayesian extreme value analysis using ratio-of-uniforms sampling, giving random samples rather than MCMC chains. Every entry in the visible window is filed under bug fixes and minor improvements. The most recent, 1.5.7, strips missing values before fitting the generalised Pareto MLE; the two before it are an Rcpp compatibility patch and a response to CRAN check failures that turned out to be false positives.
◆ Where it's heading
The methods are settled and the release traffic is external: Rcpp issues, CRAN platform checks, documentation anchor requirements. Two of the six releases exist only because CRAN's check farm flagged something, and one of those flags resolved itself. Sibling package profileCI from the same maintainer has been more active, which suggests attention has moved to newer work rather than away from R entirely.
◆ Prediction
Expect further small releases driven by Rcpp or CRAN check changes rather than by the sampling methods.
Alternatives to hubData and revdbayes
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 hubData or revdbayes.
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.
lazyeval
A package retired in 2017 just got rewritten against R's public C API.
See all hubData alternatives → · See all revdbayes alternatives →
Recent activity from hubData and revdbayes
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agohubDataCloud hubs declaring CSV no longer return an empty connection
- 3mo agohubDatacollect_hub() returns plain vectors instead of ALTREP views
- 3mo agohubDataArray-valued metadata fields now parse as list columns
- 4mo agorevdbayesMissing values now removed before generalised Pareto MLE fitting
- 7mo agohubDatadate_col parameter for oracle output schemas
- 7mo agorevdbayesRcpp patch applied to avoid masking Rf_error()
- 7mo agorevdbayesPatch for macOS CRAN check errors that proved to be false positives
- 8mo agohubDataconnect_hub() skips file validation by default (breaking)
- 10mo agohubDataArrow schema conversion and validation utilities
- 2y agorevdbayesArgument documentation corrected; Rd link anchors fixed
- 2y agorevdbayesRcpp warning fix plus Rd itemize corrections
- 2y agorevdbayesC++11 specification dropped to clear a CRAN note
Frequently asked questions
What is the difference between hubData and revdbayes?
They serve adjacent needs but don't currently overlap on shipped themes. hubData and revdbayes 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 hubData better than revdbayes?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. hubData and revdbayes 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 hubData?
Top hubData alternatives in Analytics are ranked by recent ship velocity. Browse the "hubData alternatives" section above for the current picks, or visit /alternatives/hubdata for the full list with editorial commentary on each.
What are the best alternatives to revdbayes?
Top revdbayes alternatives in Analytics are ranked by recent ship velocity. Browse the "revdbayes alternatives" section above for the current picks, or visit /alternatives/revdbayes for the full list with editorial commentary on each.