tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
Comparison · Analytics
daiquiri vs gigs
A side-by-side editorial comparison of daiquiri and gigs — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-packageropensci
daiquiri vs gigs: at a glance
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.
What is gigs?
gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.
gigs implements international newborn and infant growth standards — INTERGROWTH-21st, WHO — converting anthropometric measurements to z-scores and centiles and classifying growth outcomes. The 0.5.0 release rewrote the public API around rOpenSci review feedback; the two releases after it change no code at all, existing purely to get the documentation site building.
daiquiri vs gigs: editorial side-by-side
daiquiri
0.0ANALYTICS
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.
gigs
0.0ANALYTICS
gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.
◆ Current state
gigs implements international newborn and infant growth standards — INTERGROWTH-21st, WHO — converting anthropometric measurements to z-scores and centiles and classifying growth outcomes. The 0.5.0 release rewrote the public API around rOpenSci review feedback; the two releases after it change no code at all, existing purely to get the documentation site building.
◆ Where it's heading
The package has moved from vector-in, vector-out conversion helpers to a data.frame-oriented interface with a single classify_growth() entry point that computes whatever outcomes the supplied columns allow. That is a shift from library to tool — the user describes their data rather than picking the right function. The trailing releases suggest the code is settled and the remaining work is packaging and discoverability.
◆ Prediction
With the API rewrite absorbed and hosting moved to rOpenSci, the next substantive release should add growth standards or outcomes rather than reshape the interface again.
Alternatives to daiquiri and gigs
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 gigs.
Tplyr
Tplyr made clinical summary tables explain where every number came from.
rlistings
Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.
hoardr
A cache-directory helper that has shipped nothing but CRAN-triggered patches for seven years.
riem
A weather-data client that keeps rewriting its HTTP layer while slowly tightening its API.
datasetjson
datasetjson rebuilt its object model to track the CDISC Dataset-JSON 1.1 schema.
See all daiquiri alternatives → · See all gigs alternatives →
Recent activity from daiquiri and gigs
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1y agodaiquirifield_types_advanced() lets specs name only some columns
- 1y agogigsDocs and Zenodo archiving
- 1y agogigsDocs-only release; nothing changed internally
- 1y agogigsConversion API rewritten around data frames and classify_growth() ⚡
- 2y agogigsDocumentation fixes for autotest compliance
- 2y agogigsINTERGROWTH-21st fetal standards and input validation
- 2y agogigsPatch release with documentation update
- 3y agodaiquirift_strata() splits reports by a column's values
- 3y agodaiquiriColumn-order and integer-column validation fixes
- 3y agodaiquiriReport intermediates write to tempdir(), not the library
- 3y agodaiquiriFirst CRAN release
- 3y agodaiquiriPublic API renamed wholesale for rOpenSci acceptance ⚡
Frequently asked questions
What is the difference between daiquiri and gigs?
Both compete on the same themes — r-package, ropensci — within Analytics. daiquiri and gigs 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 gigs?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. daiquiri and gigs 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 gigs?
Top gigs alternatives in Analytics are ranked by recent ship velocity. Browse the "gigs alternatives" section above for the current picks, or visit /alternatives/gigs for the full list with editorial commentary on each.