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Comparison · Infra & APIs

HydroPortailStats vs metR

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

Shared themes:r-package

HydroPortailStats vs metR: at a glance

FeatureHydroPortailStatsmetR
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themeshydrology, flood-frequency, bayesian-statistics, extreme-valuesmeteorology, ggplot2, r-package, netcdf
Last editorial update30m 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 metR?

A meteorology ggplot2 extension where the netCDF reader became the main event

metR supplies meteorological and oceanographic tools for R: contour and streamline geoms, EOF decomposition, wave fitting, and ReadNetCDF() for getting gridded data in. Development has concentrated heavily on that reader. Version 0.18.0 added subsetting by dimension index, so the first or last ten timesteps can be read without knowing how many exist; 0.18.1 moved time parsing to the CFtime package; 0.18.2 added cdo operations through rcdo and reading across multiple files in parallel, and fixed a subsetting bug where nearest-gridpoint matching could return data outside the requested range entirely.

Read the full metR trajectory →

HydroPortailStats vs metR: 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.

M
metR
INFRA · APIS
0.0

A meteorology ggplot2 extension where the netCDF reader became the main event

◆ Current state

metR supplies meteorological and oceanographic tools for R: contour and streamline geoms, EOF decomposition, wave fitting, and ReadNetCDF() for getting gridded data in. Development has concentrated heavily on that reader. Version 0.18.0 added subsetting by dimension index, so the first or last ten timesteps can be read without knowing how many exist; 0.18.1 moved time parsing to the CFtime package; 0.18.2 added cdo operations through rcdo and reading across multiple files in parallel, and fixed a subsetting bug where nearest-gridpoint matching could return data outside the requested range entirely.

◆ Where it's heading

Two threads run through the releases. The first is tracking ggplot2, absorbing the linewidth aesthetic, the trans to transform rename and guide compatibility as each landed upstream. The second is narrowing scope while deepening the data path: GetSMNData() was made defunct as too specific for a general package, raster and gdal dependencies were removed, and the udunits2 dependency was dropped when it was orphaned, initially replaced by a homebrewed date parser and eventually by CFtime. The result is a package steadily shedding its own code in favour of specialised upstream libraries.

◆ Prediction

Expect further ReadNetCDF() work, since it has received features in four of the last five releases and the rcdo integration opens a large surface of operations to expose.

Alternatives to HydroPortailStats and metR

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 metR.

See all HydroPortailStats alternatives → · See all metR alternatives →

Recent activity from HydroPortailStats and metR

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

  1. 7mo agometRSubset notation fix in the netCDF reader
  2. 11mo agometRcdo operations, parallel multi-file reads, and a subsetting correctness fix
  3. 1y agometRnetCDF time parsing handed to the CFtime package
  4. 1y agometRnetCDF subsetting by dimension index
  5. 1y agometRLongitude scales pass the transform argument correctly
  6. 1y agoHydroPortailStatsHistorical flood records enter the estimator via an HBay port
  7. 1y agometREOF rotation takes a function, and scope narrows
  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 metR?

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

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

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