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DataSpaceR vs tern.mmrm

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

DataSpaceR vs tern.mmrm: at a glance

FeatureDataSpaceRtern.mmrm
SectorAnalyticsAnalytics
Velocity score2.50.0
Sparks · 30d00
Top themeshiv-research, immunology-data, api-client, antibody-sequencespharmaverse, mmrm, tabulation, maintenance
Last editorial update1h ago2h ago
WebsiteVisit →Visit →

What is DataSpaceR?

DataSpaceR's 1.0.0 rebuilt its query API and opened up HIV antibody sequence data.

The R client for the CAVD DataSpace reached 1.0.0 in July 2026 after five years of small fixes. The release removed the mAb grid filtering and view methods in favour of filtering an availableMabs object with data.table syntax, applied that pattern to every query method, and added a class for querying DAASH, the Database of Annotated Antibody Sequences for HIV-1. The August patch restored the LANL monoclonal-antibody metadata requests and batched BCR sequence queries.

Read the full DataSpaceR trajectory →

What is tern.mmrm?

An MMRM tabulation package that has published nothing since its 2024 CRAN releases.

tern.mmrm wraps mixed models for repeated measures into the tern tabulation and plotting layer used by teal clinical modules. The visible history ends with three CRAN releases in mid-to-late 2024; before that the feed carries only automated version bumps from 2022. The most recent change adds axis limit arguments to the LS-means plot.

Read the full tern.mmrm trajectory →

DataSpaceR vs tern.mmrm: editorial side-by-side

D
DataSpaceR
ANALYTICS
2.5

DataSpaceR's 1.0.0 rebuilt its query API and opened up HIV antibody sequence data.

◆ Current state

The R client for the CAVD DataSpace reached 1.0.0 in July 2026 after five years of small fixes. The release removed the mAb grid filtering and view methods in favour of filtering an availableMabs object with data.table syntax, applied that pattern to every query method, and added a class for querying DAASH, the Database of Annotated Antibody Sequences for HIV-1. The August patch restored the LANL monoclonal-antibody metadata requests and batched BCR sequence queries.

◆ Where it's heading

The package is converging on one query idiom — build a filtered object, then fetch — instead of per-domain grid methods, and each class now accepts multiple studies or antibodies rather than one. The 1.0.1 patch suggests the rewrite dropped functionality that users noticed, and it was put back rather than redesigned.

◆ Prediction

With DAASH access in place and the query surface unified, the next work is most likely more sequence-domain coverage and follow-up fixes to the batched query paths introduced in 1.0.1.

T
tern.mmrm
ANALYTICS
0.0

An MMRM tabulation package that has published nothing since its 2024 CRAN releases.

◆ Current state

tern.mmrm wraps mixed models for repeated measures into the tern tabulation and plotting layer used by teal clinical modules. The visible history ends with three CRAN releases in mid-to-late 2024; before that the feed carries only automated version bumps from 2022. The most recent change adds axis limit arguments to the LS-means plot.

◆ Where it's heading

Content per release is thin and largely organisational: a maintainer change, replacing scda with random.cdisc.data in vignettes, and adapting to new {mmrm} versions. The package appears to be in maintenance, tracking its upstream dependency rather than developing independently.

◆ Prediction

Nothing here signals new functionality; the realistic next event is another compatibility release when {mmrm} or {rtables} changes underneath it.

Alternatives to DataSpaceR and tern.mmrm

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 DataSpaceR or tern.mmrm.

See all DataSpaceR alternatives → · See all tern.mmrm alternatives →

Recent activity from DataSpaceR and tern.mmrm

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

  1. 8d agoDataSpaceRLANL metadata requests restored and BCR queries batched
  2. 1mo agoDataSpaceRQuery API rebuilt and DAASH antibody sequence access added
  3. 1y agoDataSpaceRFixes for antibody and donor queries
  4. 1y agoDataSpaceRLANL metadata added to neutralising-antibody pulls
  5. 1y agotern.mmrmAxis limits added to the LS-means plot
  6. 2y agotern.mmrmMaintainer change and scda replaced in vignettes
  7. 2y agotern.mmrmCRAN 0.3.0 release, mostly workflow housekeeping
  8. 3y agotern.mmrm2022_10_13
  9. 3y agotern.mmrm2022_08_16
  10. 4y agotern.mmrm2022_06_09: [skip vbump] (#63)
  11. 4y agoDataSpaceRSession fix for CDS reports and snake-case bindings

Frequently asked questions

What is the difference between DataSpaceR and tern.mmrm?

They serve adjacent needs but don't currently overlap on shipped themes. DataSpaceR 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 DataSpaceR better than tern.mmrm?

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

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

What are the best alternatives to tern.mmrm?

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