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daiquiri vs rlistings

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

Shared themes:r-package

daiquiri vs rlistings: at a glance

Featuredaiquirirlistings
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesdata-quality, r-package, reporting, ropensciclinical-trials, listings, pagination, r-package
Last editorial update1h ago1h 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 rlistings?

Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.

rlistings renders clinical-trial subject listings and paginates them for regulatory output, sitting alongside rtables on the shared formatters engine. The releases in this window are dominated by pagination correctness: repeated key columns across pages, splitting by a variable, ordered-factor handling, column gaps, and font metrics. Development is a large rotating contributor set inside the insightsengineering organisation.

Read the full rlistings trajectory →

daiquiri vs rlistings: 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.

R
rlistings
ANALYTICS
0.0

Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.

◆ Current state

rlistings renders clinical-trial subject listings and paginates them for regulatory output, sitting alongside rtables on the shared formatters engine. The releases in this window are dominated by pagination correctness: repeated key columns across pages, splitting by a variable, ordered-factor handling, column gaps, and font metrics. Development is a large rotating contributor set inside the insightsengineering organisation.

◆ Where it's heading

The package is progressively delegating pagination to formatters rather than implementing it — paginate_listing() was refactored to call formatters' paginate_to_mpfs() directly, and truetype font support arrived through a new formatters API. That reduces duplicated logic but ties the package's page-break behaviour to a dependency it shares with rtables. Feature work beyond pagination is thin: better error messages for unsupported column classes, a cheatsheet.

◆ Prediction

Expect pagination fidelity to remain the focus, with changes arriving as formatters exposes more of its layout machinery rather than as rlistings-native features.

Alternatives to daiquiri and rlistings

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 rlistings.

See all daiquiri alternatives → · See all rlistings alternatives →

Recent activity from daiquiri and rlistings

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

  1. 1y agodaiquirifield_types_advanced() lets specs name only some columns
  2. 1y agorlistingsError and message handling for difftime and zero-row listings
  3. 1y agorlistingsTrueType font support and col_gap in pagination
  4. 2y agorlistingssplit_into_pages_by_var() and pagination moved onto formatters
  5. 3y agodaiquirift_strata() splits reports by a column's values
  6. 3y agodaiquiriColumn-order and integer-column validation fixes
  7. 3y agodaiquiriReport intermediates write to tempdir(), not the library
  8. 3y agodaiquiriFirst CRAN release
  9. 3y agodaiquiriPublic API renamed wholesale for rOpenSci acceptance

Frequently asked questions

What is the difference between daiquiri and rlistings?

Both compete on the same themes — r-package — within Analytics. daiquiri and rlistings 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 rlistings?

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

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