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daiquiri vs ymlthis

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

daiquiri vs ymlthis: at a glance

Featuredaiquiriymlthis
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesdata-quality, r-package, reporting, ropenscir-markdown, yaml, retirement, quarto
Last editorial update54m ago2h ago
WebsiteVisit →Visit →

What is daiquiri?

A data-quality report generator that finished its API rewrite and has been coasting on small features since.

daiquiri turns a raw clinical or administrative dataset into an HTML report of time-series data-quality plots, driven by a field-type specification the user writes. The public API settled in 2022 after a wholesale rename for rOpenSci acceptance, and releases since then have added specification conveniences rather than new report content. The 1.2.0 release is the first in nearly two years.

Read the full daiquiri trajectory →

What is ymlthis?

ymlthis retired itself, naming Quarto as the reason it no longer needs to exist.

ymlthis built R Markdown YAML front matter programmatically — a fluent `yml_*()` interface plus RStudio add-ins, so users did not have to hand-write metadata blocks whose valid fields were scattered across output-format documentation. Version 1.0.0 declares the package retired, with only CRAN-preserving changes to follow, and states the reason plainly: Quarto now provides good YAML support.

Read the full ymlthis trajectory →

daiquiri vs ymlthis: editorial side-by-side

D
daiquiri
ANALYTICS
0.0

A data-quality report generator that finished its API rewrite and has been coasting on small features since.

◆ Current state

daiquiri turns a raw clinical or administrative dataset into an HTML report of time-series data-quality plots, driven by a field-type specification the user writes. The public API settled in 2022 after a wholesale rename for rOpenSci acceptance, and releases since then have added specification conveniences rather than new report content. The 1.2.0 release is the first in nearly two years.

◆ Where it's heading

Development has shifted from restructuring the interface to lowering the cost of using it — field_types_advanced() lets users name only the columns they care about and default the rest, which is the kind of change that matters when a dataset has hundreds of fields. Plot rendering is getting incremental attention (heatmap scaling) rather than new visualisation types. Cadence is roughly annual.

◆ Prediction

Expect the next release to continue trimming specification boilerplate for wide datasets rather than adding report sections; the entries give no indication of a new plot type or output format in progress.

Y
ymlthis
ANALYTICS
0.0

ymlthis retired itself, naming Quarto as the reason it no longer needs to exist.

◆ Current state

ymlthis built R Markdown YAML front matter programmatically — a fluent `yml_*()` interface plus RStudio add-ins, so users did not have to hand-write metadata blocks whose valid fields were scattered across output-format documentation. Version 1.0.0 declares the package retired, with only CRAN-preserving changes to follow, and states the reason plainly: Quarto now provides good YAML support.

◆ Where it's heading

The retirement is the endpoint of a long drift. Between 2020 and 2022 every release was reactive — patching around a crayon update that mangled rendered YAML, tracking shiny 1.6, following roxygen2 7.0.0, fixing a typo in an add-in. No new capability has landed in six years, and the four-year gap before 1.0.0 had already answered the question the release note finally makes explicit.

◆ Prediction

Nothing further of substance is expected — the stated policy is changes only where CRAN requires them, so the next release, if any, will be a compatibility patch.

Alternatives to daiquiri and ymlthis

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 daiquiri or ymlthis.

See all daiquiri alternatives → · See all ymlthis alternatives →

Recent activity from daiquiri and ymlthis

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

  1. 5mo agoymlthisymlthis retired; Quarto covers the need
  2. 1y agodaiquirifield_types_advanced() lets specs name only some columns
  3. 3y agodaiquirift_strata() splits reports by a column's values
  4. 3y agodaiquiriColumn-order and integer-column validation fixes
  5. 3y agodaiquiriReport intermediates write to tempdir(), not the library
  6. 3y agodaiquiriFirst CRAN release
  7. 3y agodaiquiriPublic API renamed wholesale for rOpenSci acceptance
  8. 4y agoymlthisTypo fixed in the miniUI add-in check
  9. 4y agoymlthisyml_author() accepts yml_blank(); shiny fixes
  10. 4y agoymlthisciteproc handling moved to newer rmarkdown functions
  11. 5y agoymlthisPatched a crayon update that mangled rendered YAML
  12. 5y agoymlthisAdjustments for shiny 1.6

Frequently asked questions

What is the difference between daiquiri and ymlthis?

They serve adjacent needs but don't currently overlap on shipped themes. daiquiri and ymlthis 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 daiquiri better than ymlthis?

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

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

What are the best alternatives to ymlthis?

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