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Comparison · Analytics

daiquiri vs tidytlg

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

Shared themes:r-package

daiquiri vs tidytlg: at a glance

Featuredaiquiritidytlg
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesdata-quality, r-package, reporting, ropensciclinical-trials, tables, r-package, pharmaverse
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 tidytlg?

A tables-listings-graphs package that reached CRAN and then went quiet.

tidytlg generates clinical tables, listings, and graphs from tidyverse-style pipelines, maintained under the pharmaverse organisation. All four releases in the window are from a single eight-month stretch in 2023, and their content is CRAN preparation, a logging-dependency swap, and multi-file support. Release notes are merge lists rather than described changes.

Read the full tidytlg trajectory →

daiquiri vs tidytlg: 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.

T
tidytlg
ANALYTICS
0.0

A tables-listings-graphs package that reached CRAN and then went quiet.

◆ Current state

tidytlg generates clinical tables, listings, and graphs from tidyverse-style pipelines, maintained under the pharmaverse organisation. All four releases in the window are from a single eight-month stretch in 2023, and their content is CRAN preparation, a logging-dependency swap, and multi-file support. Release notes are merge lists rather than described changes.

◆ Where it's heading

The visible arc is getting onto CRAN and staying installable — vignette corrections per CRAN comments, a badge, a check fix, and replacing the timber logging package with logrx. The one functional addition is multiple-file support. There has been no release since October 2023, so on this evidence the package is stable or dormant rather than actively developing.

◆ Prediction

The entries give no signal about planned work; with nothing shipped in roughly two years, the more likely next event is a maintenance release triggered by a dependency or CRAN check than a feature.

Alternatives to daiquiri and tidytlg

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 tidytlg.

See all daiquiri alternatives → · See all tidytlg alternatives →

Recent activity from daiquiri and tidytlg

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

  1. 1y agodaiquirifield_types_advanced() lets specs name only some columns
  2. 2y agotidytlgSwaps the timber logger for logrx
  3. 3y agodaiquirift_strata() splits reports by a column's values
  4. 3y agotidytlgMultiple-file support and table-binding fixes
  5. 3y agotidytlgVignette update per CRAN comments
  6. 3y agotidytlgFirst CRAN release
  7. 3y agodaiquiriColumn-order and integer-column validation fixes
  8. 3y agodaiquiriReport intermediates write to tempdir(), not the library
  9. 3y agodaiquiriFirst CRAN release
  10. 3y agodaiquiriPublic API renamed wholesale for rOpenSci acceptance

Frequently asked questions

What is the difference between daiquiri and tidytlg?

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

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

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