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Comparison · Analytics

cleanepi vs xplainfi

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

cleanepi vs xplainfi: at a glance

Featurecleanepixplainfi
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesepiverse-trace, data-cleaning, line-list, reportingmlr3, feature-importance, interpretability, statistical-inference
Last editorial update2h ago2h ago
WebsiteVisit →Visit →

What is cleanepi?

cleanepi is in the long tail of bug fixes that follows a 1.0 — and changed maintainers along the way.

cleanepi cleans and standardises epidemiological line list data — dates, subject IDs, missing values, duplicates — and produces a report of what it changed. Since 1.0.0 in mid-2024 the releases have been almost entirely corrective: date-guesser fixes, report structure fixes and matching behaviour corrections. Maintainership passed to Bubacarr Bah in 1.1.2.

Read the full cleanepi trajectory →

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.

Read the full xplainfi trajectory →

cleanepi vs xplainfi: editorial side-by-side

C
cleanepi
ANALYTICS
0.0

cleanepi is in the long tail of bug fixes that follows a 1.0 — and changed maintainers along the way.

◆ Current state

cleanepi cleans and standardises epidemiological line list data — dates, subject IDs, missing values, duplicates — and produces a report of what it changed. Since 1.0.0 in mid-2024 the releases have been almost entirely corrective: date-guesser fixes, report structure fixes and matching behaviour corrections. Maintainership passed to Bubacarr Bah in 1.1.2.

◆ Where it's heading

Work has concentrated on the report object and on making the cleaning functions behave predictably at the edges — case- and whitespace-insensitive missing-value matching, report elements returned as vectors instead of comma-separated strings, an argument to print a single operation's report. The underlying cleaning API has barely moved since 1.0.0, which suggests it is settled.

◆ Prediction

The report interface has been reworked repeatedly across these releases and is the most likely place for further change; the cleaning functions themselves look stable.

X
xplainfi
ANALYTICS
2.5

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 cleanepi 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 cleanepi or xplainfi.

See all cleanepi alternatives → · See all xplainfi alternatives →

Recent activity from cleanepi and xplainfi

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

  1. 20d agoxplainfiRefits parallelise; repeated refits deprioritised in favour of resampling
  2. 5mo agoxplainfiPre-trained learners supported; distribution-free inference added
  3. 6mo agoxplainfiVersion bumped to mark the package as released
  4. 9mo agoxplainfiConfidence intervals arrive for feature importance scores
  5. 9mo agocleanepiCase-insensitive missing-value matching and report fixes
  6. 1y agocleanepiReport elements become vectors; date parsing default restored
  7. 1y agocleanepiDate guesser corrected; empty-row indices fixed
  8. 2y agocleanepiFirst major release with cleaning and reporting

Frequently asked questions

What is the difference between cleanepi 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 cleanepi 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 cleanepi?

Top cleanepi alternatives in Analytics are ranked by recent ship velocity. Browse the "cleanepi alternatives" section above for the current picks, or visit /alternatives/cleanepi 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.