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charlatan vs fabletools

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

Shared themes:r-package

charlatan vs fabletools: at a glance

Featurecharlatanfabletools
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesfake-data, r-package, ropensci, localesforecasting, tidyverts, model-combination, reconciliation
Last editorial update3h ago59m ago
WebsiteVisit →Visit →

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.

Read the full charlatan trajectory →

What is fabletools?

The tidyverts forecasting core rebuilt model combination on full residual covariance.

fabletools is the framework layer under fable and fpp3 — mables, fables, accuracy measures, reconciliation, and the model arithmetic that lets forecasters express ensembles as expressions. Version 0.8.0 reworked that arithmetic: combination now uses a joint N-way convolution accounting for the full residual covariance across components rather than composing pairwise, and every arithmetic operator collapses to a single model_combination with correctly implied weights, so nested expressions like ((m1 + m2)/2 + m3)/2 flatten automatically. In parallel, the package has been shedding graphics to {ggtime} on a deliberately slow deprecation clock.

Read the full fabletools trajectory →

charlatan vs fabletools: editorial side-by-side

C
charlatan
ANALYTICS
0.0

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.

F
fabletools
ANALYTICS
0.0

The tidyverts forecasting core rebuilt model combination on full residual covariance.

◆ Current state

fabletools is the framework layer under fable and fpp3 — mables, fables, accuracy measures, reconciliation, and the model arithmetic that lets forecasters express ensembles as expressions. Version 0.8.0 reworked that arithmetic: combination now uses a joint N-way convolution accounting for the full residual covariance across components rather than composing pairwise, and every arithmetic operator collapses to a single model_combination with correctly implied weights, so nested expressions like ((m1 + m2)/2 + m3)/2 flatten automatically. In parallel, the package has been shedding graphics to {ggtime} on a deliberately slow deprecation clock.

◆ Where it's heading

The framework is being narrowed and deepened at the same time. Narrowed, because plotting is moving out to a dedicated package over an announced two-year deprecation, leaving fabletools to modeling infrastructure. Deepened, because the recent statistical work targets correctness in places users could not easily inspect — combination weights, inverse-variance weighting computed on response rather than innovation residuals, reconciliation coherency matrices exposed via coherent_smat() and coherent_cmat(). Class hygiene follows the same instinct, with mdl_lst replacing lst_mdl and gaining augment(), glance(), and tidy() so global and reconciliation models report statistics like any other.

◆ Prediction

With combination and reconciliation infrastructure freshly reworked, the remaining announced work is the ggtime separation, so expect the graphics re-exports to keep degrading toward removal while modeling changes stay incremental.

Alternatives to charlatan and fabletools

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 fabletools.

See all charlatan alternatives → · See all fabletools alternatives →

Recent activity from charlatan and fabletools

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

  1. 1mo agofabletoolsModel combination rebuilt on joint N-way convolution
  2. 3mo agofabletoolsCoherency matrices exposed, mdl_lst gains tidier methods
  3. 5mo agofabletoolsGraphics methods now require fabletools to be attached
  4. 6mo agofabletoolsTime series graphics migrating out to ggtime
  5. 7mo agocharlatanDocs rebuild surfaces a duplicate Norwegian phone pattern
  6. 8mo agofabletoolsggplot2 4.0.0 compatibility patch
  7. 8mo agofabletoolsIRF() generic and multivariate bootstrap sample paths
  8. 1y agocharlatanProvider classes restructured so locales can override single functions
  9. 6y agocharlatanNew locales and providers; allowed_locales() added
  10. 7y agocharlatanLocale naming standardised; French and Danish data corrected
  11. 8y agocharlatancharlatan v0.2.2
  12. 8y agocharlatanSix new providers broaden charlatan beyond names and addresses

Frequently asked questions

What is the difference between charlatan and fabletools?

Both compete on the same themes — r-package — within Analytics. charlatan and fabletools 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 fabletools?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. charlatan and fabletools 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 fabletools?

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