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fastml vs questionr

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

Shared themes:r package

fastml vs questionr: at a glance

Featurefastmlquestionr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesautoml, tidymodels, survival analysis, cross-validationsurvey analysis, contingency tables, rstudio addins, tidyverse compatibility
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is fastml?

fastml added survival modelling and leakage-proof resampling, moving past classification and regression.

A tidymodels-based AutoML wrapper that trains, tunes and compares many engines from one call. The 0.6.x line added engine-specific tuning parameters, class-imbalance handling, early stopping and DALEX-based explainability. The 0.7.5 release is far larger: a full survival analysis task with its own engines, MICE imputation and integrated Brier scoring, plus unbiased nested cross-validation, grouped, blocked and rolling resampling helpers, fold-wise imputation, recipe leakage checks, and a sandbox for user-supplied preprocessing.

Read the full fastml trajectory →

What is questionr?

questionr's survey helpers are finished; recent releases only keep pace with R-devel.

A long-running toolkit for survey data in R — proportion tables, weighted counts, and the interactive irec(), iorder() and icut() addins for recoding. The last functional release was 0.8.0 in March 2025: a new freqtable() function, prop(), cprop() and rprop() extended to tables of three or more dimensions, and the addins moved onto the native pipe and forcats' current API. Both releases since exist purely to fix tests broken by R-devel changes to table internals.

Read the full questionr trajectory →

fastml vs questionr: editorial side-by-side

F
fastml
ANALYTICS
0.0

fastml added survival modelling and leakage-proof resampling, moving past classification and regression.

◆ Current state

A tidymodels-based AutoML wrapper that trains, tunes and compares many engines from one call. The 0.6.x line added engine-specific tuning parameters, class-imbalance handling, early stopping and DALEX-based explainability. The 0.7.5 release is far larger: a full survival analysis task with its own engines, MICE imputation and integrated Brier scoring, plus unbiased nested cross-validation, grouped, blocked and rolling resampling helpers, fold-wise imputation, recipe leakage checks, and a sandbox for user-supplied preprocessing.

◆ Where it's heading

The package is moving from convenience wrapper to something that has to be defensible statistically. Nested cross-validation, fold-wise rather than up-front imputation, and explicit leakage checks are all corrections to the shortcuts that make AutoML easy and its scores optimistic. Survival adds a third task type alongside classification and regression, and it arrived with its own metrics rather than being bolted onto the existing ones. Note the entry body is cut off at 8,000 characters, so the release is larger than what is shown.

◆ Prediction

Expect the remaining survival engines to fill in and the sandboxing of custom preprocessing to tighten, since both were still being iterated on within this same release's commit list.

Q
questionr
ANALYTICS
0.0

questionr's survey helpers are finished; recent releases only keep pace with R-devel.

◆ Current state

A long-running toolkit for survey data in R — proportion tables, weighted counts, and the interactive irec(), iorder() and icut() addins for recoding. The last functional release was 0.8.0 in March 2025: a new freqtable() function, prop(), cprop() and rprop() extended to tables of three or more dimensions, and the addins moved onto the native pipe and forcats' current API. Both releases since exist purely to fix tests broken by R-devel changes to table internals.

◆ Where it's heading

This is a stable package in compatibility-maintenance mode, where the release trigger is upstream churn rather than user demand. The functional work that does appear follows a consistent line — generalising the table functions beyond two dimensions, and keeping the interactive recoding addins aligned with current tidyverse idioms rather than the deprecated ones they were written against. The same maintainer's rainette shipped its own upstream-compatibility fix in the same window.

◆ Prediction

Expect the next release to be another R-devel or tidyverse compatibility fix; nothing in the entries points to new functionality.

Alternatives to fastml and questionr

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 fastml or questionr.

See all fastml alternatives → · See all questionr alternatives →

Recent activity from fastml and questionr

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

  1. 6mo agoquestionrR-devel test fix for NA naming in tables
  2. 8mo agofastmlVersion 0.7.5
  3. 1y agofastmlEngine-specific tuning, imbalance handling and explainability
  4. 1y agofastmlSingle-workflow evaluation fix
  5. 1y agoquestionrR-devel test fix for table subset classes
  6. 1y agofastmlVersion 0.5.0
  7. 1y agoquestionrfreqtable added; proportion tables handle three or more dimensions
  8. 3y agoquestionrAddins handle non-syntactic variable names
  9. 4y agoquestionrforcats errors on numeric variables fixed
  10. 4y agoquestionricut default changed; rp2018 dataset replaces rp99

Frequently asked questions

What is the difference between fastml and questionr?

Both compete on the same themes — r package — within Analytics. fastml and questionr 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 fastml better than questionr?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. fastml and questionr 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 Analytics products to evaluate alongside.

What are the best alternatives to fastml?

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

What are the best alternatives to questionr?

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