tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
Comparison · Analytics
daiquiri vs simtrial
A side-by-side editorial comparison of daiquiri and simtrial — release velocity, themes, recent moves, and the top alternatives to consider.
daiquiri vs simtrial: 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 simtrial?
A fixed-design trial simulator grew a pluggable test framework, then spent a year proving the numbers
simtrial simulates time-to-event clinical trials and applies the tests used to analyse them — logrank, weighted logrank, MaxCombo, RMST, milestone. The 0.4.0 release turned it from a fixed-sample simulator into a group sequential one and standardised every test behind a common output contract, and the releases since have been about making that machinery correct and fast enough to run at scale. Version 1.0.0 arrived in June 2025 with the API settled and three vignettes explaining both the one-call and build-it-yourself paths.
daiquiri vs simtrial: 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.
simtrial
0.0ANALYTICS
A fixed-design trial simulator grew a pluggable test framework, then spent a year proving the numbers
◆ Current state
simtrial simulates time-to-event clinical trials and applies the tests used to analyse them — logrank, weighted logrank, MaxCombo, RMST, milestone. The 0.4.0 release turned it from a fixed-sample simulator into a group sequential one and standardised every test behind a common output contract, and the releases since have been about making that machinery correct and fast enough to run at scale. Version 1.0.0 arrived in June 2025 with the API settled and three vignettes explaining both the one-call and build-it-yourself paths.
◆ Where it's heading
Post-1.0 the work is almost entirely statistical correctness and speed, and it is concentrated in sim_gs_n(): one-sided efficacy bounds, stratified targeted-event cut dates, a helper that derives cuttings straight from the design object. Performance moves in one direction throughout — dplyr replaced by data.table, foreach combination replaced by manual assembly, parallelisation added to sim_fixed_n() — because simulation-based operating characteristics are only useful if you can afford enough replications.
◆ Prediction
The recent fixes cluster on stratified and group sequential paths, so the next release most likely continues there rather than adding a new test type. The cut_from_design() helper suggests tighter coupling to gsDesign2 design objects is the direction of travel.
Alternatives to daiquiri and simtrial
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 simtrial.
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.
gigs
gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.
riem
A weather-data client that keeps rewriting its HTTP layer while slowly tightening its API.
See all daiquiri alternatives → · See all simtrial alternatives →
Recent activity from daiquiri and simtrial
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 8mo agosimtrialOne-sided efficacy bound and stratified cut date corrected
- 11mo agosimtrialsim_gs_n moved to data.table; stratified design example added
- 1y agodaiquirifield_types_advanced() lets specs name only some columns
- 1y agosimtrial1.0.0 settles the wlr interface and documents both simulation paths
- 1y agosimtrialMilestone Z-score denominator corrected; parallel sim_fixed_n arrives
- 2y agosimtrialChecks pass without Suggests dependencies
- 2y agosimtrialRMST and milestone tests, plus a user-definable cut and test framework ⚡
- 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 simtrial?
They serve adjacent needs but don't currently overlap on shipped themes. daiquiri and simtrial 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 simtrial?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. daiquiri and simtrial 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 simtrial?
Top simtrial alternatives in Analytics are ranked by recent ship velocity. Browse the "simtrial alternatives" section above for the current picks, or visit /alternatives/simtrial for the full list with editorial commentary on each.