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Comparison · Infra & APIs

HydroPortailStats vs jstable

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

Shared themes:r-package

HydroPortailStats vs jstable: at a glance

FeatureHydroPortailStatsjstable
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themeshydrology, flood-frequency, bayesian-statistics, extreme-valuesbiostatistics, r-package, clinical-research, survey-weighted
Last editorial update51m 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 jstable?

A clinical table generator paying down years of edge cases in survey-weighted models

jstable turns regression and survival models into the formatted tables medical papers publish, wrapping coxph, glm, geeglm, lmer and their survey-weighted counterparts. The recent line is almost entirely correction work, concentrated in two places: the .display family and the TableSubgroup family. Version 1.3.25 alone fixed quasibinomial support for survey-weighted logistic regression, automatic factor-to-numeric outcome conversion for svyglm, weighted-versus-original sample counts in the n row, data.table input handling, and Overall column labelling.

Read the full jstable trajectory →

HydroPortailStats vs jstable: 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.

J
jstable
INFRA · APIS
0.0

A clinical table generator paying down years of edge cases in survey-weighted models

◆ Current state

jstable turns regression and survival models into the formatted tables medical papers publish, wrapping coxph, glm, geeglm, lmer and their survey-weighted counterparts. The recent line is almost entirely correction work, concentrated in two places: the .display family and the TableSubgroup family. Version 1.3.25 alone fixed quasibinomial support for survey-weighted logistic regression, automatic factor-to-numeric outcome conversion for svyglm, weighted-versus-original sample counts in the n row, data.table input handling, and Overall column labelling.

◆ Where it's heading

Each CRAN release bundles several GitHub patch versions, so the notes read as rolled-up fix lists rather than feature announcements. The substantive thread is pcut.univariate, introduced across seven display functions in 1.3.11 to allow multivariable analysis restricted to significant variables, and repaired repeatedly since as it collided with interaction terms, single-variable selections, clustered models and data.table inputs. The survey-weighted path is the other recurring source: counts, labels and family handling that worked for unweighted data kept failing once weights were involved.

◆ Prediction

Expect further patches in the survey-weighted subgroup functions, since 1.3.25 fixed four separate issues there and each recent release has surfaced more in the same area.

Alternatives to HydroPortailStats and jstable

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 jstable.

See all HydroPortailStats alternatives → · See all jstable alternatives →

Recent activity from HydroPortailStats and jstable

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

  1. 4mo agojstableSurvey-weighted logistic regression and sample counts corrected
  2. 6mo agojstableCompeting-risk counts drawn from original rather than transformed data
  3. 9mo agojstableMulti-state Cox models detected without a manual flag
  4. 10mo agojstableWide fix pass across the display functions
  5. 0y agojstableCrude p-values computed from raw data via data_for_univariate
  6. 1y agojstableSignificance-filtered multivariable analysis added across seven functions
  7. 1y agoHydroPortailStatsHistorical flood records enter the estimator via an HBay port
  8. 3y agoHydroPortailStatsCRAN submission renames the return-period arguments
  9. 3y agoHydroPortailStatsFirst release: the HydroPortail statistical functions in R

Frequently asked questions

What is the difference between HydroPortailStats and jstable?

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

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

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