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Comparison · Infra & APIs

HydroPortailStats vs offsetreg

A side-by-side editorial comparison of HydroPortailStats and offsetreg — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

HydroPortailStats vs offsetreg: at a glance

FeatureHydroPortailStatsoffsetreg
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themeshydrology, flood-frequency, bayesian-statistics, extreme-valuestidymodels, parsnip, r-package, actuarial
Last editorial update56m ago1h ago
WebsiteVisit →Visit →

What is HydroPortailStats?

France's national flood statistics, ported out of Fortran and into R.

HydroPortailStats exposes the statistical machinery behind the French HydroPortail — distribution fitting, quantile curves and their uncertainties for hydrological series. The 2025 release re-implements the HBay Fortran executable in R, adding Bayesian estimation from historical flood records with censored and interval-valued data and systematic measurement error, plus a triangular distribution and truncated random generation.

Read the full HydroPortailStats trajectory →

What is offsetreg?

The parsnip extension for exposure models grew from one algorithm to three

offsetreg supplies parsnip model specifications for regressions with offsets, the form actuarial and epidemiological work needs when modelling rates over exposure. It launched with a single specification, poisson_reg_offset(), backed by glm and glmnet engines. Version 1.1.0 added two more model types - boost_tree_offset() for boosted trees via xgboost and decision_tree_exposure() for weighted decision trees via rpart - and 1.2.0 has been consolidation: argument passthrough to the underlying glm and glmnet calls, an xgboost 3.0 minimum with API accommodation, and cli-formatted messages.

Read the full offsetreg trajectory →

HydroPortailStats vs offsetreg: editorial side-by-side

H
HydroPortailStats
INFRA · APIS
0.0

France's national flood statistics, ported out of Fortran and into R.

◆ Current state

HydroPortailStats exposes the statistical machinery behind the French HydroPortail — distribution fitting, quantile curves and their uncertainties for hydrological series. The 2025 release re-implements the HBay Fortran executable in R, adding Bayesian estimation from historical flood records with censored and interval-valued data and systematic measurement error, plus a triangular distribution and truncated random generation.

◆ Where it's heading

The package started as a straight extraction of the portal's existing functions and is now absorbing the surrounding legacy toolchain: HBay was a separate compiled program with its own config files, and this release brings both the method and its configuration format inside R. Releases are sparse — three in two years, with an eighteen-month gap before the latest — and the intervening one was CRAN paperwork.

◆ Prediction

The HBay import came with a configuration-file reader for continuity with the old executable, which suggests further legacy hydrological tooling could follow the same path; the entries name no specific next target.

O
offsetreg
INFRA · APIS
0.0

The parsnip extension for exposure models grew from one algorithm to three

◆ Current state

offsetreg supplies parsnip model specifications for regressions with offsets, the form actuarial and epidemiological work needs when modelling rates over exposure. It launched with a single specification, poisson_reg_offset(), backed by glm and glmnet engines. Version 1.1.0 added two more model types - boost_tree_offset() for boosted trees via xgboost and decision_tree_exposure() for weighted decision trees via rpart - and 1.2.0 has been consolidation: argument passthrough to the underlying glm and glmnet calls, an xgboost 3.0 minimum with API accommodation, and cli-formatted messages.

◆ Where it's heading

The package is following the tidymodels extension playbook: establish one model type, then add types rather than engines, and keep pace with parsnip's own releases. Each version has also tightened the guardrails around correct use - a vignette on when offsetreg should and should not be used, check_args() methods on the specifications - which suggests the maintainer is fielding misapplication rather than feature requests.

◆ Prediction

Expect additional engines under the existing model types, or a fourth specification, before any change to the offset handling itself, since the package's structure invites extension at the engine layer.

Alternatives to HydroPortailStats and offsetreg

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 HydroPortailStats or offsetreg.

See all HydroPortailStats alternatives → · See all offsetreg alternatives →

Recent activity from HydroPortailStats and offsetreg

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 4mo agooffsetregArgument passthrough to glm and glmnet, xgboost 3.0 minimum
  2. 1y agooffsetregBoosted trees and weighted decision trees join the offset model family
  3. 1y agoHydroPortailStatsHistorical flood records enter the estimator via an HBay port
  4. 2y agooffsetregInitial release with Poisson regression over offsets
  5. 3y agoHydroPortailStatsCRAN submission renames the return-period arguments
  6. 3y agoHydroPortailStatsFirst release: the HydroPortail statistical functions in R

Frequently asked questions

What is the difference between HydroPortailStats and offsetreg?

Both compete on the same themes — r-package — within Infra & APIs. HydroPortailStats and offsetreg 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 HydroPortailStats better than offsetreg?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. HydroPortailStats and offsetreg 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 HydroPortailStats?

Top HydroPortailStats alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "HydroPortailStats alternatives" section above for the current picks, or visit /alternatives/hydroportailstats for the full list with editorial commentary on each.

What are the best alternatives to offsetreg?

Top offsetreg alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "offsetreg alternatives" section above for the current picks, or visit /alternatives/offsetreg for the full list with editorial commentary on each.