metatools
SDTM supplemental-qualifier merging got sturdier, then the package went quiet for two years.
Comparison · Analytics
c3dr vs xplainfi
A side-by-side editorial comparison of c3dr and xplainfi — release velocity, themes, recent moves, and the top alternatives to consider.
c3dr vs xplainfi: at a glance
What is c3dr?
A biomechanics C3D reader graduated through rOpenSci review to CRAN, then learned to write force plates.
c3dr reads and writes C3D motion-capture files in R, wrapping the EZC3D library. It cleared rOpenSci peer review and moved into the rOpenSci organisation in April 2025, reached CRAN a month later, and shipped force-platform export in c3d_write() in August. Releases are close together and each one has a clear single purpose.
What is xplainfi?
xplainfi treats feature importance as an estimate with error bars, not a number.
xplainfi implements feature importance methods for mlr3 — perturbation-based PFI, CFI and RFI, refit-based LOCO and WVIM, and SAGE. Its defining choice is that importance scores come with inference attached: several confidence-interval methods, including the Nadeau-Bengio correction and a distribution-free option added in 1.1.0. It declared itself released at 1.0.0 in January 2026.
c3dr vs xplainfi: editorial side-by-side
c3dr
0.0ANALYTICS
A biomechanics C3D reader graduated through rOpenSci review to CRAN, then learned to write force plates.
◆ Current state
c3dr reads and writes C3D motion-capture files in R, wrapping the EZC3D library. It cleared rOpenSci peer review and moved into the rOpenSci organisation in April 2025, reached CRAN a month later, and shipped force-platform export in c3d_write() in August. Releases are close together and each one has a clear single purpose.
◆ Where it's heading
The package is filling in the write side of the read/write pair. Reading was in place from the start; 0.2.0 extends c3d_write() to force-platform data on a direct user request, and the accompanying work preserves matrix structure on import and tracks upstream EZC3D changes. The review-era releases hardened validation and error messages, so the current cycle can be spent on capability rather than polish.
◆ Prediction
Expect further coverage of C3D block types in the writer and continued tracking of EZC3D releases; the changelog gives no signal of analysis features beyond file I/O.
xplainfi
2.5ANALYTICS
xplainfi treats feature importance as an estimate with error bars, not a number.
◆ Current state
xplainfi implements feature importance methods for mlr3 — perturbation-based PFI, CFI and RFI, refit-based LOCO and WVIM, and SAGE. Its defining choice is that importance scores come with inference attached: several confidence-interval methods, including the Nadeau-Bengio correction and a distribution-free option added in 1.1.0. It declared itself released at 1.0.0 in January 2026.
◆ Where it's heading
Two lines of work run in parallel. The statistical side keeps adding inference options — variance corrections, conditional predictive impact, and the Lei et al. observation-wise loss-difference test — while the computational side attacks the cost of refit-based methods, most recently with a batch_size argument that parallelises refits and a default of one refit per resampling iteration. Support for pre-trained learners in 1.1.0 removes the refit requirement entirely in some workflows.
◆ Prediction
The stated reasoning that budget is better spent on resampling iterations than repeated refits suggests n_repeats may be removed from WVIM and LOCO outright, as the release notes hint.
Alternatives to c3dr and xplainfi
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 c3dr or xplainfi.
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GSODR
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See all c3dr alternatives → · See all xplainfi alternatives →
Recent activity from c3dr and xplainfi
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 20d agoxplainfiRefits parallelise; repeated refits deprioritised in favour of resampling
- 5mo agoxplainfiPre-trained learners supported; distribution-free inference added
- 6mo agoxplainfiVersion bumped to mark the package as released
- 9mo agoxplainfiConfidence intervals arrive for feature importance scores
- 11mo agoc3drc3d_write() gains force platform export
- 1y agoc3drgcc 15 compilation fix
- 1y agoc3drFirst CRAN release
- 1y agoc3drrOpenSci review lands; repo moves to rOpenSci
Frequently asked questions
What is the difference between c3dr and xplainfi?
They serve adjacent needs but don't currently overlap on shipped themes. xplainfi 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 c3dr better than xplainfi?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. xplainfi 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 c3dr?
Top c3dr alternatives in Analytics are ranked by recent ship velocity. Browse the "c3dr alternatives" section above for the current picks, or visit /alternatives/c3dr for the full list with editorial commentary on each.
What are the best alternatives to xplainfi?
Top xplainfi alternatives in Analytics are ranked by recent ship velocity. Browse the "xplainfi alternatives" section above for the current picks, or visit /alternatives/xplainfi for the full list with editorial commentary on each.