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Comparison · Infra & APIs
ggInterval vs lintr
A side-by-side editorial comparison of ggInterval and lintr — release velocity, themes, recent moves, and the top alternatives to consider.
ggInterval vs lintr: at a glance
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.
What is lintr?
lintr makes the native pipe the default rule and clears out a decade of deprecations
lintr is the static analysis standard for R packages, and its 3.3.0 release does two things at once: it changes pipe_consistency_linter() to require the native pipe, following the Tidyverse Style Guide, and it completes a long deprecation program — six linters fully deprecated, several arguments defunct, and a batch of functions removed outright. The 3.1.x line before it was accuracy work and a maintainer handoff to Michael Chirico.
ggInterval vs lintr: editorial side-by-side
ggInterval
0.0INFRA · APIS
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.
lintr
0.0INFRA · APIS
lintr makes the native pipe the default rule and clears out a decade of deprecations
◆ Current state
lintr is the static analysis standard for R packages, and its 3.3.0 release does two things at once: it changes pipe_consistency_linter() to require the native pipe, following the Tidyverse Style Guide, and it completes a long deprecation program — six linters fully deprecated, several arguments defunct, and a batch of functions removed outright. The 3.1.x line before it was accuracy work and a maintainer handoff to Michael Chirico.
◆ Where it's heading
The package has been consolidating: overlapping linters renamed and merged, configuration validated up front, and an experimental R-script config offered as a possible replacement for the DCF format. Alongside that, a sustained campaign against false positives and false negatives in individual linters, which is where most contributor effort goes.
◆ Prediction
Expect the six warning-deprecated linters to be removed in the next release as announced, and continued movement on the R-script configuration format if feedback supports it.
Alternatives to ggInterval and lintr
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 lintr.
WPML
WPML made machine translation the default, and its point releases keep chasing WordPress and page builders.
forestploter
A forest plot package that keeps handing users control of one more graphical detail.
rgm
A microbiome network model that got itself un-archived by deleting the dependency that killed it.
contagionchannels
Three releases in ten days, every one of them a CRAN reviewer's correction rather than a code change.
tidyaudit
Pipeline provenance for tidyverse workflows, recording what changed at each step without keeping the data.
See all ggInterval alternatives → · See all lintr alternatives →
Recent activity from ggInterval and lintr
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 3mo agoggIntervalInterval correlation heatmaps and time-series-compatible line plots
- 6mo agoggIntervalExamples switched to donttest per CRAN review
- 6mo agoggIntervalVignette rewritten to cover every plot function
- 6mo agoggIntervalSeven plot functions renamed for consistency
- 8mo agolintrNative pipe required by default; six linters deprecated ⚡
- 2y agolintrFalse positive and negative fixes; new CRAN maintainer
- 2y agolintrExperimental R-script configs; up-front config validation
- 3y agolintrLinter renames for consistency; Super-Linter config discovery
- 3y agolintrTest no longer leaves cache files behind
- 3y agolintrfunction_argument_linter() added; seq_linter() covers dplyr and data.table
Frequently asked questions
What is the difference between ggInterval and lintr?
They serve adjacent needs but don't currently overlap on shipped themes. ggInterval and lintr 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 lintr?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggInterval and lintr 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 lintr?
Top lintr alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "lintr alternatives" section above for the current picks, or visit /alternatives/lintr for the full list with editorial commentary on each.