metatools
SDTM supplemental-qualifier merging got sturdier, then the package went quiet for two years.
Comparison · Analytics
lobstr vs mlr3fda
A side-by-side editorial comparison of lobstr and mlr3fda — release velocity, themes, recent moves, and the top alternatives to consider.
lobstr vs mlr3fda: at a glance
What is lobstr?
R's object inspector is losing its view of the internals as CRAN closes off the private C API.
lobstr exposes R's internal object representation — sizes, addresses, reference counts, abstract syntax trees. Its two most recent releases are both driven by R's move to a restricted public C API: 1.1.3 stopped reporting a vector's truelength and reworked the reference indicator into refs:n, and 1.2.0 changed what sxp(expand = "environment") shows in order to stay compliant. 1.2.0 also adds src() for exploring srcref objects.
What is mlr3fda?
A functional-data feature factory for mlr3, shipping a new extractor almost every month.
mlr3fda adds functional data support to mlr3 pipelines through PipeOps that turn functional columns into tabular features. Five releases since March 2026 have taken it from Fourier features to a catalogue covering wavelets, derivatives, depth, registration, integration and the catch22 time-series feature set. Development tracks the {tf} package closely.
lobstr vs mlr3fda: editorial side-by-side
lobstr
0.0ANALYTICS
R's object inspector is losing its view of the internals as CRAN closes off the private C API.
◆ Current state
lobstr exposes R's internal object representation — sizes, addresses, reference counts, abstract syntax trees. Its two most recent releases are both driven by R's move to a restricted public C API: 1.1.3 stopped reporting a vector's truelength and reworked the reference indicator into refs:n, and 1.2.0 changed what sxp(expand = "environment") shows in order to stay compliant. 1.2.0 also adds src() for exploring srcref objects.
◆ Where it's heading
The package is being rebuilt inside a shrinking window of what R permits. Each release trades some introspection depth for API conformance while trying to keep the diagnostic value intact — showing promise expressions instead of internal frame structures, replacing named with a documented refs scale. Where the constraint does not bite, development continues normally: src() is genuinely new, and the environment-binding fixes remove long-standing errors on for-loop and immediate bindings.
◆ Prediction
Expect further conformance work, since the notes describe it as ongoing, with any remaining non-API-dependent readouts either reworked or dropped as R tightens further.
mlr3fda
2.5ANALYTICS
A functional-data feature factory for mlr3, shipping a new extractor almost every month.
◆ Current state
mlr3fda adds functional data support to mlr3 pipelines through PipeOps that turn functional columns into tabular features. Five releases since March 2026 have taken it from Fourier features to a catalogue covering wavelets, derivatives, depth, registration, integration and the catch22 time-series feature set. Development tracks the {tf} package closely.
◆ Where it's heading
The pattern is one or two new PipeOps per release with fixes to the previous batch alongside — Fourier in 0.4.0, registration in 0.5.0, depth and derivatives in 0.6.0, catch22 and integration in 0.7.0. Performance and parallel-safety work is folded in as it becomes necessary rather than deferred, as with the Fourier speedup and the mlr_reflections registration fix.
◆ Prediction
The extraction catalogue is filling out along established functional-data methods, so further tf-backed PipeOps are the likely next additions; the {tf} 0.5.0 compatibility release suggests upstream churn will keep setting the pace.
Alternatives to lobstr and mlr3fda
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 lobstr or mlr3fda.
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logrx
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See all lobstr alternatives → · See all mlr3fda alternatives →
Recent activity from lobstr and mlr3fda
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 29d agomlr3fdaCompatibility with tf 0.5.0
- 1mo agomlr3fdacatch22 and integral feature extractors added
- 2mo agomlr3fdaDepth and derivative extractors; Fourier made several times faster
- 3mo agomlr3fdaCurve registration via PipeOpFDARegister
- 4mo agomlr3fdaFourier feature extraction and package-specific condition classes
- 5mo agolobstrNew src() for srcrefs; environment bindings stop erroring
- 9mo agolobstrtruelength reporting dropped for public C API compliance ⚡
- 4y agolobstrMoves to cpp11, relicensed MIT, adds experimental tree()
- 7y agolobstrPROTECT error fixed
- 7y agolobstrALTREP sizes computed correctly; obj_addr() stops side-effecting
Frequently asked questions
What is the difference between lobstr and mlr3fda?
They serve adjacent needs but don't currently overlap on shipped themes. mlr3fda 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 lobstr better than mlr3fda?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. mlr3fda 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 lobstr?
Top lobstr alternatives in Analytics are ranked by recent ship velocity. Browse the "lobstr alternatives" section above for the current picks, or visit /alternatives/lobstr for the full list with editorial commentary on each.
What are the best alternatives to mlr3fda?
Top mlr3fda alternatives in Analytics are ranked by recent ship velocity. Browse the "mlr3fda alternatives" section above for the current picks, or visit /alternatives/mlr3fda for the full list with editorial commentary on each.