ANALYTICS
A tables-listings-graphs package that reached CRAN and then went quiet.
Alternatives · analytics tools
daiquiri alternatives
The best daiquiri alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 14, 2026
Looking for the best alternatives to daiquiri? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, daiquiri shipped 0 meaningful updates in the last 30 days and carries a velocity score of 0.0 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.
About 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.
Velocity 0.0 · Last update 59m ago
Top 12 alternatives to daiquiri
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
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Tplyr made clinical summary tables explain where every number came from.
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Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.
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A cache-directory helper that has shipped nothing but CRAN-triggered patches for seven years.
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gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.
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A weather-data client that keeps rewriting its HTTP layer while slowly tightening its API.
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datasetjson rebuilt its object model to track the CDISC Dataset-JSON 1.1 schema.
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A TIFF reader for scientific imaging that spent its recent releases shedding weight and fixing memory bugs.
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tern is migrating its entire analysis-function catalogue off make_afun(), one release at a time.
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A reference posterior database that hit 1.0 with a paper, and is now graded on the statistics it ships.
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Markdown round-tripping through XML, where every release is another thing it learned not to mangle.
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A Qualtrics data-cleaning package that has been in maintenance mode since its CRAN acceptance.
daiquiri vs alternatives — shipping velocity at a glance
Velocity score (0–10) and meaningful releases shipped in the last 30 days, from official changelogs. Higher = shipping faster.
| Product | Velocity | Sparks · 30d | Focus areas | Latest release |
|---|---|---|---|---|
| daiquiri (baseline) | 0.0 | 0 | data-qualityr-packagereporting | Public API renamed wholesale for rOpenSci acceptance |
| tidytlg | 0.0 | 0 | clinical-trialstablesr-package | — |
| Tplyr | 0.0 | 0 | clinical-trialstablestraceability | 1.0.0 introduces the traceability metadata framework |
| rlistings | 0.0 | 0 | clinical-trialslistingspagination | — |
| hoardr | 0.0 | 0 | cachingr-packageropensci | — |
| gigs | 0.0 | 0 | growth-standardsneonatal-healthr-package | Conversion API rewritten around data frames and classify_growth() |
| riem | 0.0 | 0 | weather-dataapi-clientr-package | — |
| datasetjson | 0.0 | 0 | clinical-datacdiscjson | Dataset-JSON 1.1.0 support with a redesigned object model |
| ijtiff | 0.0 | 0 | imagingtiffr-package | — |
| tern | 0.0 | 0 | clinical-trialstablesr-package | Two dozen more analysis functions drop make_afun() |
| posteriordb | 0.0 | 0 | bayesianbenchmarkingreference-data | — |
| tinkr | 0.0 | 0 | markdownxmlr-package | First release: the extensible yarn R6 class |
| excluder | 0.0 | 0 | survey-datadata-cleaningr-package | — |
The 12 best daiquiri alternatives, in depth
1. tidytlg · velocity 0.0
A tables-listings-graphs package that reached CRAN and then went quiet.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where daiquiri leans on data quality, r package and reporting, tidytlg focuses on clinical trials, tables and r package.
tidytlg and daiquiri have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
2. Tplyr · velocity 0.0
Tplyr made clinical summary tables explain where every number came from.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “1.0.0 introduces the traceability metadata framework”.
Where daiquiri leans on data quality, r package and reporting, Tplyr focuses on clinical trials, tables and traceability.
Tplyr and daiquiri have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
3. rlistings · velocity 0.0
Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where daiquiri leans on data quality, r package and reporting, rlistings focuses on clinical trials, listings and pagination.
rlistings and daiquiri have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full rlistings trajectory → · Compare daiquiri vs rlistings →
4. hoardr · velocity 0.0
A cache-directory helper that has shipped nothing but CRAN-triggered patches for seven years.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where daiquiri leans on data quality, r package and reporting, hoardr focuses on caching, r package and ropensci.
hoardr and daiquiri have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
5. gigs · velocity 0.0
Gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Conversion API rewritten around data frames and classify_growth()”.
Where daiquiri leans on data quality, r package and reporting, gigs focuses on growth standards, neonatal health and r package.
gigs and daiquiri have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
6. riem · velocity 0.0
A weather-data client that keeps rewriting its HTTP layer while slowly tightening its API.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where daiquiri leans on data quality, r package and reporting, riem focuses on weather data, api client and r package.
riem and daiquiri have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
7. datasetjson · velocity 0.0
Datasetjson rebuilt its object model to track the CDISC Dataset-JSON 1.1 schema.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Dataset-JSON 1.1.0 support with a redesigned object model”.
Where daiquiri leans on data quality, r package and reporting, datasetjson focuses on clinical data, cdisc and json.
datasetjson and daiquiri have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full datasetjson trajectory → · Compare daiquiri vs datasetjson →
8. ijtiff · velocity 0.0
A TIFF reader for scientific imaging that spent its recent releases shedding weight and fixing memory bugs.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where daiquiri leans on data quality, r package and reporting, ijtiff focuses on imaging, tiff and r package.
ijtiff and daiquiri have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
9. tern · velocity 0.0
Tern is migrating its entire analysis-function catalogue off make_afun(), one release at a time.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Two dozen more analysis functions drop make_afun()”.
Where daiquiri leans on data quality, r package and reporting, tern focuses on clinical trials, tables and r package.
tern and daiquiri have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
10. posteriordb · velocity 0.0
A reference posterior database that hit 1.0 with a paper, and is now graded on the statistics it ships.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where daiquiri leans on data quality, r package and reporting, posteriordb focuses on bayesian, benchmarking and reference data.
posteriordb and daiquiri have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full posteriordb trajectory → · Compare daiquiri vs posteriordb →
11. tinkr · velocity 0.0
Markdown round-tripping through XML, where every release is another thing it learned not to mangle.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “First release: the extensible yarn R6 class”.
Where daiquiri leans on data quality, r package and reporting, tinkr focuses on markdown, xml and r package.
tinkr and daiquiri have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
12. excluder · velocity 0.0
A Qualtrics data-cleaning package that has been in maintenance mode since its CRAN acceptance.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where daiquiri leans on data quality, r package and reporting, excluder focuses on survey data, data cleaning and r package.
excluder and daiquiri have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Frequently asked questions
What are the best alternatives to daiquiri?
The top daiquiri alternatives we currently track in analytics tools are tidytlg, Tplyr, rlistings, hoardr, gigs, ranked by recent ship velocity.
How is this list of daiquiri alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare daiquiri directly with one of these alternatives?
Yes — every card has a "Compare with daiquiri" link to a side-by-side /compare page.