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Comparison · Infra & APIs

ggInterval vs metR

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

Shared themes:ggplot2data-visualizationr-package

ggInterval vs metR: at a glance

FeatureggIntervalmetR
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themessymbolic-data-analysis, interval-data, ggplot2, data-visualizationmeteorology, ggplot2, r-package, netcdf
Last editorial update1h ago1d ago
WebsiteVisit →Visit →

What is ggInterval?

Interval-valued data plotting, spending 2026 making its function names and examples survive CRAN.

ggInterval visualizes symbolic interval-valued data — observations recorded as ranges rather than points — with a family of plot functions in the ggplot2 idiom. The plot catalogue grew most recently with interval correlation heatmaps and interval line plots compatible with time-series input. The three releases before that were corrections: seven plot functions renamed for consistency, examples switched from dontrun to donttest at CRAN's request, and a vignette rewritten to demonstrate every function in one place.

Read the full ggInterval 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 →

ggInterval vs metR: editorial side-by-side

G
ggInterval
INFRA · APIS
0.0

Interval-valued data plotting, spending 2026 making its function names and examples survive CRAN.

◆ Current state

ggInterval visualizes symbolic interval-valued data — observations recorded as ranges rather than points — with a family of plot functions in the ggplot2 idiom. The plot catalogue grew most recently with interval correlation heatmaps and interval line plots compatible with time-series input. The three releases before that were corrections: seven plot functions renamed for consistency, examples switched from dontrun to donttest at CRAN's request, and a vignette rewritten to demonstrate every function in one place.

◆ Where it's heading

The package is consolidating an interface that had drifted. Renaming seven functions in a single release is the clearest signal — the naming was inconsistent enough to be worth breaking, and the vignette rewrite that followed suggests discoverability was the underlying complaint. Underneath that, the additions are steady and narrow: each release brings interval-aware versions of plot types that already exist for point data, which is the whole premise of the package.

◆ Prediction

The pattern of porting one more standard plot type into interval-aware form each release is the most likely continuation; the tsplot compatibility in the latest version hints that time-series interval data is the direction attracting attention.

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 ggInterval 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 ggInterval or metR.

See all ggInterval alternatives → · See all metR alternatives →

Recent activity from ggInterval and metR

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

  1. 3mo agoggIntervalInterval correlation heatmaps and time-series-compatible line plots
  2. 6mo agoggIntervalExamples switched to donttest per CRAN review
  3. 6mo agoggIntervalVignette rewritten to cover every plot function
  4. 6mo agoggIntervalSeven plot functions renamed for consistency
  5. 7mo agometRSubset notation fix in the netCDF reader
  6. 11mo agometRcdo operations, parallel multi-file reads, and a subsetting correctness fix
  7. 1y agometRnetCDF time parsing handed to the CFtime package
  8. 1y agometRnetCDF subsetting by dimension index
  9. 1y agometRLongitude scales pass the transform argument correctly
  10. 1y agometREOF rotation takes a function, and scope narrows

Frequently asked questions

What is the difference between ggInterval and metR?

Both compete on the same themes — ggplot2, data-visualization, r-package — within Infra & APIs. ggInterval 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 ggInterval better than metR?

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

Top ggInterval alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "ggInterval alternatives" section above for the current picks, or visit /alternatives/gginterval 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.