← Back to home
Comparison · Infra & APIs

rgm vs testdat

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

rgm vs testdat: at a glance

Featurergmtestdat
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesmicrobiome, graphical-models, bayesian-inference, cran-maintenancedata-validation, unit-testing, testthat, tidyselect
Last editorial update6h ago1h ago
WebsiteVisit →Visit →

What is rgm?

A microbiome network model that got itself un-archived by deleting the dependency that killed it.

rgm implements the random graphical model for microbiome interactions across related environments, published in JABES in 2026. The package was archived from CRAN in February 2026 because of its dependency on huge; the recovery release drops that dependency entirely, which cost it the graphical-lasso warm start that used to seed the initial graph — the default is now an empty graph, with warm starts left to the user. A post-processing function returning ggplot diagnostics arrived in the same release.

Read the full rgm trajectory →

What is testdat?

Unit testing for datasets, built on testthat and now bending to its next release.

testdat applies the testthat idiom to data rather than code: expectations that assert properties of a data frame, run as a suite, with results exportable to Excel. Recent releases have been about correctness and upstream compatibility. Expectations are now constructed via new_expectation() ahead of testthat 3.3.0, and expect_base() errors on a missing variable instead of silently passing.

Read the full testdat trajectory →

rgm vs testdat: editorial side-by-side

R
rgm
INFRA · APIS
0.0

A microbiome network model that got itself un-archived by deleting the dependency that killed it.

◆ Current state

rgm implements the random graphical model for microbiome interactions across related environments, published in JABES in 2026. The package was archived from CRAN in February 2026 because of its dependency on huge; the recovery release drops that dependency entirely, which cost it the graphical-lasso warm start that used to seed the initial graph — the default is now an empty graph, with warm starts left to the user. A post-processing function returning ggplot diagnostics arrived in the same release.

◆ Where it's heading

Three tags shipped inside two hours on one day, and the notes are candid about why: 1.1.0 held the actual work but was never released, 1.2.0 restated it under a higher version to signal the size of the change, and 1.2.1 answered CRAN pre-test feedback. Beyond the archival recovery, the visible work is housekeeping that had accumulated — a shadowed rmvnorm() definition, roxygen import tags that were silently emitting nothing, leftover C++ template scaffolding, and build artifacts under version control. The diagnostics function is the only genuinely new user-facing capability in the window.

◆ Prediction

The immediate task was restoring availability, and that is done; the open question the entries raise is whether losing the graphical-lasso warm start affects convergence in practice, which the new diagnostic plots are positioned to answer.

T
testdat
INFRA · APIS
0.0

Unit testing for datasets, built on testthat and now bending to its next release.

◆ Current state

testdat applies the testthat idiom to data rather than code: expectations that assert properties of a data frame, run as a suite, with results exportable to Excel. Recent releases have been about correctness and upstream compatibility. Expectations are now constructed via new_expectation() ahead of testthat 3.3.0, and expect_base() errors on a missing variable instead of silently passing.

◆ Where it's heading

The package reached its shape early and has spent the years since sanding it. The design decisions worth noting are all in the past: the move to tidyselect at 0.3.0, the test data pipe at 0.4.0, and the failure messages at 0.4.1 that name which variable failed rather than just reporting a count. Since then activity is sparse and reactive, tracking testthat and R-devel. The two 0.4.3 and 0.4.4 tags arriving ninety minutes apart on the same day is the signature of a release caught by an upstream deadline.

◆ Prediction

The immediate work is finishing the testthat 3.3.0 adaptation. Beyond that the notes give no evidence of new expectation families; the package looks maintained rather than developed.

Alternatives to rgm and testdat

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 rgm or testdat.

See all rgm alternatives → · See all testdat alternatives →

Recent activity from rgm and testdat

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

  1. 3mo agorgmJournal DOI replaces the preprint; promotional wording removed
  2. 3mo agorgmBack on CRAN after dropping the dependency that caused archival
  3. 3mo agorgmUnreleased twin of the CRAN recovery release
  4. 9mo agotestdatExpectations rebuilt on new_expectation() for testthat 3.3.0
  5. 9mo agotestdatexpect_base() errors on a missing variable instead of passing
  6. 2y agorgmFirst release: simulation, estimation and post-processing
  7. 2y agotestdatGrouped data frames ungrouped before testing
  8. 3y agotestdatFailure messages name the failing variable; expect_depends() added
  9. 4y agotestdatTest data pipe lets expectations sit inline in a chain
  10. 4y agotestdatCRAN release moves variable selection to tidyselect

Frequently asked questions

What is the difference between rgm and testdat?

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

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

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

What are the best alternatives to testdat?

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