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cyclocomp vs mritc

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

Shared themes:r-package

cyclocomp vs mritc: at a glance

Featurecyclocompmritc
SectorAnalyticsAnalytics
Velocity score0.05.0
Sparks · 30d00
Top themesstatic-analysis, code-complexity, linting, r-packagemedical-imaging, r-package, maintainer-change, dependencies
Last editorial update14m ago1h ago
WebsiteVisit →Visit →

What is cyclocomp?

A cyclomatic complexity checker that ships once every couple of years, and lands when it does.

cyclocomp measures cyclomatic complexity of R functions and packages, and is best known as the engine behind lintr's complexity rule. It has three releases in the visible window spread across nearly three years. The current one, 1.1.2, adds a quiet argument to cyclocomp_package_dir(); the two before it, shipped a day apart in 2023, added a large speedup and the package-directory entry point itself.

Read the full cyclocomp trajectory →

What is mritc?

A dormant MRI tissue-classification package revived under a new maintainer.

mritc performs MRI tissue classification in R using Gaussian mixture and hidden Markov models. After a long dormancy it changed hands to a new maintainer, and the three releases in this window all land within weeks of each other — two of them seconds apart, a backfill of the handover release alongside the first substantive one. The work so far is modernisation rather than new methodology.

Read the full mritc trajectory →

cyclocomp vs mritc: editorial side-by-side

C
cyclocomp
ANALYTICS
0.0

A cyclomatic complexity checker that ships once every couple of years, and lands when it does.

◆ Current state

cyclocomp measures cyclomatic complexity of R functions and packages, and is best known as the engine behind lintr's complexity rule. It has three releases in the visible window spread across nearly three years. The current one, 1.1.2, adds a quiet argument to cyclocomp_package_dir(); the two before it, shipped a day apart in 2023, added a large speedup and the package-directory entry point itself.

◆ Where it's heading

This is a small tool that reached feature-complete and now moves only when a downstream consumer needs something. Every change in the window is externally contributed, and each addresses a concrete integration need: a function that works on a local package tree rather than an installed one, complexity results sorted so the worst offenders come first, and output suppression for programmatic callers. The 2023 pair shipped a day apart because the new entry point immediately exposed a performance problem on long linear code.

◆ Prediction

Expect the next change to arrive the same way, as a contributed patch serving a linting or CI workflow rather than as planned development.

M
mritc
ANALYTICS
5.0

A dormant MRI tissue-classification package revived under a new maintainer.

◆ Current state

mritc performs MRI tissue classification in R using Gaussian mixture and hidden Markov models. After a long dormancy it changed hands to a new maintainer, and the three releases in this window all land within weeks of each other — two of them seconds apart, a backfill of the handover release alongside the first substantive one. The work so far is modernisation rather than new methodology.

◆ Where it's heading

The clear direction is reducing what the package demands of the systems it installs on: heavyweight visualisation dependencies moved to optional, tkrplot dropped entirely, and the default plotting backend switched to a package already present in the dependency tree. A test suite and coverage tooling arrived where there had been none. The remaining releases are CRAN-check fallout from that restructuring, which is the expected shape of a revival.

◆ Prediction

Expect further consolidation under the new maintainer — CRAN check fixes and test coverage — before any change to the classification methods themselves.

Alternatives to cyclocomp and mritc

Other Analytics 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 cyclocomp or mritc.

See all cyclocomp alternatives → · See all mritc alternatives →

Recent activity from cyclocomp and mritc

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

  1. 12d agomritcBuffer overflow and OpenMP name clash resolved
  2. 23d agomritcVisualisation dependencies made optional, RNifti now the default
  3. 23d agomritcJon Clayden takes over maintenance; C-level GC protection added
  4. 5mo agocyclocompcyclocomp_package_dir() gains a quiet argument
  5. 2y agocyclocompLarge speedup on long linear code
  6. 2y agocyclocompComplexity checks run against a local package tree

Frequently asked questions

What is the difference between cyclocomp and mritc?

Both compete on the same themes — r-package — within Analytics. mritc is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is cyclocomp better than mritc?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. mritc is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to cyclocomp?

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

What are the best alternatives to mritc?

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