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charlatan vs crul

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

Shared themes:ropensci

charlatan vs crul: at a glance

Featurecharlatancrul
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesfake-data, r-package, ropensci, localeshttp-client, async, mocking, ropensci
Last editorial update5h ago1h 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 crul?

crul took mocking back from webmockr and made it a property of the client itself

crul is the R6-based HTTP client underneath much of rOpenSci's package stack, covering synchronous requests, three flavours of async, pagination and retries. Its 1.6.0 release in July 2025 changed where test mocking lives: each client — HttpClient, Async, AsyncVaried — now takes a mocking parameter at initialisation or per method, and the standalone mock() function is deprecated. Mocking used to be something webmockr switched on from outside; it is now a setting on the client.

Read the full crul trajectory →

charlatan vs crul: 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.

C
crul
ANALYTICS
0.0

crul took mocking back from webmockr and made it a property of the client itself

◆ Current state

crul is the R6-based HTTP client underneath much of rOpenSci's package stack, covering synchronous requests, three flavours of async, pagination and retries. Its 1.6.0 release in July 2025 changed where test mocking lives: each client — HttpClient, Async, AsyncVaried — now takes a mocking parameter at initialisation or per method, and the standalone mock() function is deprecated. Mocking used to be something webmockr switched on from outside; it is now a setting on the client.

◆ Where it's heading

The async surface has been the growth area for years — retries reached Async, AsyncVaried, AsyncQueue and HttpRequest in 1.4, AsyncQueue gained the response accessors in 1.2, and 1.5.0 wired async requests up to webmockr. The 1.6.0 change reverses that direction of dependency, and it landed within a minute of webmockr's own release severing its tie to vcr. Read together, the rOpenSci HTTP stack is being deliberately untangled so each package can be used without the others.

◆ Prediction

With mock() deprecated rather than removed, the next major release is the likely point of deletion. Expect the remaining work to follow the same decoupling theme rather than adding request features.

Alternatives to charlatan and crul

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 crul.

See all charlatan alternatives → · See all crul alternatives →

Recent activity from charlatan and crul

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

  1. 7mo agocharlatanDocs rebuild surfaces a duplicate Norwegian phone pattern
  2. 1y agocrulMocking becomes a client parameter, independent of webmockr
  3. 1y agocharlatanProvider classes restructured so locales can override single functions
  4. 2y agocrulAsync requests become mockable through webmockr
  5. 2y agocrulDocumentation fixes and test helper tweak
  6. 3y agocrulHTTP retries reach the async classes
  7. 3y agocrulClearer error for mismatched urls and disk lengths
  8. 4y agocrulAsyncQueue gains response accessors; results print as a summary
  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 crul?

Both compete on the same themes — ropensci — within Analytics. charlatan and crul 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 crul?

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

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