metatools
SDTM supplemental-qualifier merging got sturdier, then the package went quiet for two years.
Comparison · Analytics
goshawk vs xplainfi
A side-by-side editorial comparison of goshawk and xplainfi — release velocity, themes, recent moves, and the top alternatives to consider.
goshawk vs xplainfi: at a glance
What is goshawk?
goshawk's release feed is version-bump automation, not product news.
The three most recent tagged releases are all continuous-integration artefacts: a version bump from 0.1.13.9012 to 0.1.14, an action-skipping bump to 0.1.13.9007, and a date-correction commit. None carries a changelog, and the feed has produced nothing since October 2022.
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.
goshawk vs xplainfi: editorial side-by-side
goshawk
0.0ANALYTICS
goshawk's release feed is version-bump automation, not product news.
◆ Current state
The three most recent tagged releases are all continuous-integration artefacts: a version bump from 0.1.13.9012 to 0.1.14, an action-skipping bump to 0.1.13.9007, and a date-correction commit. None carries a changelog, and the feed has produced nothing since October 2022.
◆ Where it's heading
The tags follow the insightsengineering release automation — date-stamped names, [skip vbump] and [skip actions] markers, co-author trailers — which means the substance of any release lives in the package's NEWS file rather than here. On the evidence in this feed the repository is dormant.
◆ Prediction
Nothing in these entries supports a prediction about the package's direction; a meaningful signal would need a release that carries actual notes.
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 goshawk 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 goshawk or xplainfi.
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lobstr
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GSODR
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giscoR
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See all goshawk alternatives → · See all xplainfi alternatives →
Recent activity from goshawk 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
- 3y agogoshawk2022_10_13
- 4y agogoshawk2022_08_16
- 4y agogoshawk2022_06_09: [skip vbump] (#156)
Frequently asked questions
What is the difference between goshawk 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 goshawk 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 goshawk?
Top goshawk alternatives in Analytics are ranked by recent ship velocity. Browse the "goshawk alternatives" section above for the current picks, or visit /alternatives/goshawk 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.