datefixR
The messy-date parser rewrote its core in Rust and came out 300x faster.
Comparison · Analytics
charlatan vs waywiser
A side-by-side editorial comparison of charlatan and waywiser — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
charlatan vs waywiser: at a glance
What is charlatan?
R's fake-data generator rebuilt its provider hierarchy so contributors can add one locale without touching the rest.
charlatan generates realistic fake data — names, addresses, phone numbers, jobs, internet artefacts — across many locales, following the same model as faker in Python and Perl. The 0.6.1 release reworked the provider class hierarchy so locale-specific providers inherit from a parent, and 0.6.2 since has been a documentation rebuild that happened to surface a duplicate Norwegian phone number pattern. Activity is sparse and bursty.
What is waywiser?
Spatial model assessment that spent the last year on cross-platform arithmetic and CRAN rules.
waywiser provides spatial model assessment metrics in a tidymodels idiom — spatial autocorrelation measures, area of applicability, and multi-scale assessment of predictions. The substantive work landed in 0.3.0 through 0.5.0, and the recent releases are consolidation: 0.6.0 made metric functions return NA everywhere they previously returned NaN, because macOS disagreed with every other platform, and taught ww_multi_scale() to handle classification and class probability metrics correctly when given rasters. The three releases since are entirely CRAN policy compliance — no internet downloads during checks, no writing to directories, no syntax that would raise the R version floor.
charlatan vs waywiser: editorial side-by-side
charlatan
0.0ANALYTICS
R's fake-data generator rebuilt its provider hierarchy so contributors can add one locale without touching the rest.
◆ Current state
charlatan generates realistic fake data — names, addresses, phone numbers, jobs, internet artefacts — across many locales, following the same model as faker in Python and Perl. The 0.6.1 release reworked the provider class hierarchy so locale-specific providers inherit from a parent, and 0.6.2 since has been a documentation rebuild that happened to surface a duplicate Norwegian phone number pattern. Activity is sparse and bursty.
◆ Where it's heading
The package's value scales with locale coverage, and its releases track that: early versions added data-type providers, middle versions added locales one contributor at a time, and 0.6.1 attacked the bottleneck by restructuring the class hierarchy so a locale can override a single function. Development has effectively been handed to contributors, with maintainer releases reduced to docs rebuilds and CRAN compliance.
◆ Prediction
Expect the next substantive release to be an accumulation of contributed locales and providers arriving through the new parent-provider structure, rather than maintainer-driven feature work.
waywiser
0.0ANALYTICS
Spatial model assessment that spent the last year on cross-platform arithmetic and CRAN rules.
◆ Current state
waywiser provides spatial model assessment metrics in a tidymodels idiom — spatial autocorrelation measures, area of applicability, and multi-scale assessment of predictions. The substantive work landed in 0.3.0 through 0.5.0, and the recent releases are consolidation: 0.6.0 made metric functions return NA everywhere they previously returned NaN, because macOS disagreed with every other platform, and taught ww_multi_scale() to handle classification and class probability metrics correctly when given rasters. The three releases since are entirely CRAN policy compliance — no internet downloads during checks, no writing to directories, no syntax that would raise the R version floor.
◆ Where it's heading
The package has reached the point where the interesting bugs are cross-platform and cross-package rather than statistical. Its main function, ww_multi_scale(), has been the focus of nearly every release since 0.4.0, working through units handling, aggregation ordering, raster inputs and metric-type dispatch. The dependency on vip and the tidymodels metric machinery means a share of releases exist only to track breaking changes elsewhere.
◆ Prediction
Expect the next substantive release to continue on ww_multi_scale() edge cases, given that it has absorbed most of the fixes in this window. The recent run of CRAN-compliance patches suggests no feature work is currently in flight.
Alternatives to charlatan and waywiser
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 charlatan or waywiser.
maplegend
The legend engine mapsf spun out, now covering legend types the parent map package can draw.
lang
R help pages translated on demand by whichever LLM you point it at.
mapsf
Thematic mapping in base R that finally got a theming system, then spent two years polishing legends.
qualtRics
qualtRics moved its contact functions onto XM Directory days before the old endpoints died.
fabletools
The tidyverts forecasting core rebuilt model combination on full residual covariance.
See all charlatan alternatives → · See all waywiser alternatives →
Recent activity from charlatan and waywiser
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 7mo agocharlatanDocs rebuild surfaces a duplicate Norwegian phone pattern
- 1y agowaywiserStops downloading data during CRAN checks
- 1y agowaywiserVignettes no longer write to CRAN directories
- 1y agowaywiserKeeps the R version floor below 4.1
- 1y agocharlatanProvider classes restructured so locales can override single functions ⚡
- 2y agowaywiserNaN results become NA; raster metrics dispatch correctly
- 2y agowaywiserGuards against ignored grid arguments; faster on sf data
- 2y agowaywiserFixes wrong observation counts and ignored grid units
- 6y agocharlatanNew locales and providers; allowed_locales() added
- 7y agocharlatanLocale naming standardised; French and Danish data corrected
- 8y agocharlatancharlatan v0.2.2
- 8y agocharlatanSix new providers broaden charlatan beyond names and addresses
Frequently asked questions
What is the difference between charlatan and waywiser?
Both compete on the same themes — r-package — within Analytics. charlatan and waywiser 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 charlatan better than waywiser?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. charlatan and waywiser 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 charlatan?
Top charlatan alternatives in Analytics are ranked by recent ship velocity. Browse the "charlatan alternatives" section above for the current picks, or visit /alternatives/charlatan for the full list with editorial commentary on each.
What are the best alternatives to waywiser?
Top waywiser alternatives in Analytics are ranked by recent ship velocity. Browse the "waywiser alternatives" section above for the current picks, or visit /alternatives/waywiser for the full list with editorial commentary on each.