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Comparison · Infra & APIs

ncmR vs rsofun

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

ncmR vs rsofun: at a glance

FeaturencmRrsofun
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesmicrobiome, ecology, neutral-community-model, shinyecosystem-modelling, carbon-isotopes, land-use-change, fortran
Last editorial update2h ago49m ago
WebsiteVisit →Visit →

What is ncmR?

Three weeks from first CRAN submission to a point-and-click neutral community model

ncmR fits the neutral community model to microbiome and ecological abundance data. The whole feed is three weeks long: fit_ncm() and summary methods at 0.1.0 on 1 April, a scatter plot with fitted curve and confidence interval at 0.2.0, then a Shiny application wrapping both at 0.3.0, then a row-name bugfix. It is a new package moving fast in its first month.

Read the full ncmR trajectory →

What is rsofun?

An ecosystem model starts tracking carbon isotopes and land-use change.

rsofun wraps the P-model and BiomeE vegetation models in R with Fortran cores, covering photosynthesis, water balance and forest demography, plus Bayesian calibration. The 5.1.0 release is the first in the window to widen what the models simulate rather than reorganise them. Before it, the history is renaming, cost-function rewrites and output-format consistency work.

Read the full rsofun trajectory →

ncmR vs rsofun: editorial side-by-side

N
ncmR
INFRA · APIS
0.0

Three weeks from first CRAN submission to a point-and-click neutral community model

◆ Current state

ncmR fits the neutral community model to microbiome and ecological abundance data. The whole feed is three weeks long: fit_ncm() and summary methods at 0.1.0 on 1 April, a scatter plot with fitted curve and confidence interval at 0.2.0, then a Shiny application wrapping both at 0.3.0, then a row-name bugfix. It is a new package moving fast in its first month.

◆ Where it's heading

The direction is toward users who do not write R. Version 0.2.0 added plotting, 0.3.0 wrapped fitting and plotting in Shiny modules, and the same release deleted the Unicode plotting helpers introduced one version earlier because the dependency they existed for was removed. That willingness to throw away a week-old API suggests the surface is still being negotiated rather than settled.

◆ Prediction

With a fitting module and a plotting module in the app, the remaining gap is getting results back out — export of fitted parameters or figures from the Shiny session. The bugfix at 0.3.1 was in file upload, which is where a GUI's problems usually start.

R
rsofun
INFRA · APIS
0.0

An ecosystem model starts tracking carbon isotopes and land-use change.

◆ Current state

rsofun wraps the P-model and BiomeE vegetation models in R with Fortran cores, covering photosynthesis, water balance and forest demography, plus Bayesian calibration. The 5.1.0 release is the first in the window to widen what the models simulate rather than reorganise them. Before it, the history is renaming, cost-function rewrites and output-format consistency work.

◆ Where it's heading

The direction is from a calibration harness toward a model that can answer different questions: isotope fractionation now comes out of the P-model, BiomeE handles land use and land-use change, and forcing can be recycled when a simulation outruns its data. Version stamps are unreliable here, with a v5.0 tag carrying only a build fix and predating v4.4, so the arc reads better through content than through numbering.

◆ Prediction

The isotope work is explicitly unfinished, with a constant atmospheric signature standing in for daily d13c forcing, so the next likely step is accepting that as model input.

Alternatives to ncmR and rsofun

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 ncmR or rsofun.

See all ncmR alternatives → · See all rsofun alternatives →

Recent activity from ncmR and rsofun

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

  1. 4mo agoncmRRow names preserved during file upload conversion
  2. 4mo agoncmRA Shiny app for fitting and plotting neutral community models
  3. 4mo agoncmRScatter plot with fitted curve and confidence interval
  4. 4mo agoncmRFirst CRAN submission: neutral community model fitting in R
  5. 10mo agorsofunCarbon isotope tracking and LULUC support across both models
  6. 1y agorsofunLM3-PPA renamed BiomeE; cost function and stress functions rewritten
  7. 1y agorsofunParallel make fix on the v5.0 tag
  8. 2y agorsofuncnmodel 0.1 research snapshot tag
  9. 4y agorsofunFortran crash guards and consistent P-model variable names
  10. 4y agorsofunPublic release following a code refactor

Frequently asked questions

What is the difference between ncmR and rsofun?

They serve adjacent needs but don't currently overlap on shipped themes. ncmR and rsofun 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 ncmR better than rsofun?

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

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

What are the best alternatives to rsofun?

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