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haze vs simlandr

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

Shared themes:r-package

haze vs simlandr: at a glance

Featurehazesimlandr
SectorAnalyticsAnalytics
Velocity score2.50.0
Sparks · 30d00
Top themesneuroimaging, mesh-processing, interpolation, r-packager-package, dynamical-systems, visualization, api-consolidation
Last editorial update8h ago1h ago
WebsiteVisit →Visit →

What is haze?

Four dormant years end with a modernization pass and an off-by-one fix in the C++ core

haze does nearest-neighbour smoothing and k-d tree interpolation on brain surface meshes. It sat untouched from April 2022 until July 2026, when a single release modernized it for current R versions and corrected an off-by-one error in the C++ code. It is not on CRAN and never will be — the package exceeds 50MB against CRAN's 5MB ceiling, a constraint its own initial release notes acknowledge.

Read the full haze trajectory →

What is simlandr?

Potential landscape tooling settling onto standard R generics after two rounds of renaming.

simlandr builds potential landscape plots from simulations of dynamic systems, with barrier-height calculations and batch simulation grids. Its three substantive releases are all consolidation: parameters renamed, functions renamed, defaults removed. By 0.3.0 the bespoke accessors had been replaced by ggplot2's autolayer() and base summary(), and the package carried print, summary, and plot methods for its own classes.

Read the full simlandr trajectory →

haze vs simlandr: editorial side-by-side

H
haze
ANALYTICS
2.5

Four dormant years end with a modernization pass and an off-by-one fix in the C++ core

◆ Current state

haze does nearest-neighbour smoothing and k-d tree interpolation on brain surface meshes. It sat untouched from April 2022 until July 2026, when a single release modernized it for current R versions and corrected an off-by-one error in the C++ code. It is not on CRAN and never will be — the package exceeds 50MB against CRAN's 5MB ceiling, a constraint its own initial release notes acknowledge.

◆ Where it's heading

The July 2026 release arrived 56 minutes after its sibling regfusionr 0.3.0 from the same maintainer, which is the tell: this is a maintainer sweeping a set of related neuroimaging packages back into working order, not independent development on haze itself. haze is the dependency, regfusionr the consumer, and the substantive work sits on the regfusionr side. The off-by-one correction is the only change here that alters results.

◆ Prediction

Expect haze to move only when a downstream dfsp-spirit package needs it to — its cadence is driven by the sibling packages, not by its own roadmap.

S
simlandr
ANALYTICS
0.0

Potential landscape tooling settling onto standard R generics after two rounds of renaming.

◆ Current state

simlandr builds potential landscape plots from simulations of dynamic systems, with barrier-height calculations and batch simulation grids. Its three substantive releases are all consolidation: parameters renamed, functions renamed, defaults removed. By 0.3.0 the bespoke accessors had been replaced by ggplot2's autolayer() and base summary(), and the package carried print, summary, and plot methods for its own classes.

◆ Where it's heading

Every release trades a package-specific name for a conventional one - var and par became arg and ele, get_geom() became an autolayer() method, get_barrier_height() became a summary() method, hash_big.matrix became hash_big_matrix. The one methodological change, an adjusted minimal energy path algorithm, arrived inside a release otherwise full of renames. Removing default values for barrier calculation because they were often unsuitable reads as the maintainer deciding the defaults were doing harm.

◆ Prediction

The feed stops at 0.3.0 in late 2022, mid-consolidation; these entries give no indication of what followed, if anything did.

Alternatives to haze and simlandr

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 haze or simlandr.

See all haze alternatives → · See all simlandr alternatives →

Recent activity from haze and simlandr

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

  1. 18d agohazeVersion 0.3.0 -- Fixes and modernization
  2. 3y agosimlandrAccessors replaced by autolayer and summary methods
  3. 3y agosimlandrroxygen2 updated for HTML5 compatibility
  4. 4y agohazev0.2.0 -- kdtrees
  5. 4y agohazev0.1.0: Initial release
  6. 4y agosimlandrBatch simulation arguments renamed; energy path algorithm adjusted
  7. 4y agosimlandrManual improved and a test function added
  8. 5y agosimlandrPackage cleaned for CRAN compatibility

Frequently asked questions

What is the difference between haze and simlandr?

Both compete on the same themes — r-package — within Analytics. haze is currently shipping more aggressively (velocity 2.5 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 haze better than simlandr?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. haze is currently shipping more aggressively (velocity 2.5 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 haze?

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

What are the best alternatives to simlandr?

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