← Back to home
Comparison · Infra & APIs

artoo vs ncmR

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

artoo vs ncmR: at a glance

FeatureartooncmR
SectorInfra & APIsInfra & APIs
Velocity score2.50.0
Sparks · 30d00
Top themesr-packages, clinical-trials, cdisc, data-conversionmicrobiome, ecology, neutral-community-model, shiny
Last editorial update2h ago36m ago
WebsiteVisit →Visit →

What is artoo?

artoo makes any-to-any clinical dataset conversion lossless by construction.

artoo reads and writes SAS XPORT, CDISC Dataset-JSON, NDJSON, Parquet and RDS around one canonical metadata model, so a conversion between any two formats carries labels, CDISC types, lengths, display formats, controlled-terminology references and sort keys intact. It is pure R with no SAS or Java runtime. It reached CRAN at 0.1.1 and has spent 0.1.2 and 0.1.3 on the character-encoding edges.

Read the full artoo trajectory →

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 →

artoo vs ncmR: editorial side-by-side

A
artoo
INFRA · APIS
2.5

artoo makes any-to-any clinical dataset conversion lossless by construction.

◆ Current state

artoo reads and writes SAS XPORT, CDISC Dataset-JSON, NDJSON, Parquet and RDS around one canonical metadata model, so a conversion between any two formats carries labels, CDISC types, lengths, display formats, controlled-terminology references and sort keys intact. It is pure R with no SAS or Java runtime. It reached CRAN at 0.1.1 and has spent 0.1.2 and 0.1.3 on the character-encoding edges.

◆ Where it's heading

Recent work is all about text that does not survive a format change. 0.1.3 adds an invalid_encoding dimension to artoo_checks() that flags bytes which are not valid UTF-8 before a writer aborts on them, accepts the SAS OEM/DOS encoding names, and gives the writers on_invalid = "translit" and "fold" so smart punctuation and accented characters resolve to pinned ASCII instead of failing. The fold tables ship as data specifically so the result is identical on every platform, which is the same determinism argument behind C-locale row sorting in 0.1.0.

◆ Prediction

The new WLATIN1-to-UTF-8 migration article and the width warning on write_xpt() point the next attention at length and truncation semantics rather than at additional formats. These notes name no further target format.

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.

Alternatives to artoo and ncmR

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 artoo or ncmR.

See all artoo alternatives → · See all ncmR alternatives →

Recent activity from artoo and ncmR

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

  1. 28d agoartooEncoding checks and translit/fold modes for the writers
  2. 1mo agoartoonoLD check fix; codec unchanged
  3. 2mo agoartooInitial CRAN release after resubmission
  4. 2mo agoartooLossless any-to-any CDISC dataset conversion in pure R
  5. 4mo agoncmRRow names preserved during file upload conversion
  6. 4mo agoncmRA Shiny app for fitting and plotting neutral community models
  7. 4mo agoncmRScatter plot with fitted curve and confidence interval
  8. 4mo agoncmRFirst CRAN submission: neutral community model fitting in R

Frequently asked questions

What is the difference between artoo and ncmR?

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

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. artoo 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 Infra & APIs products to evaluate alongside.

What are the best alternatives to artoo?

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

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.