A tables-listings-graphs package that reached CRAN and then went quiet.
tinkr alternatives
The best tinkr alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 14, 2026
Looking for the best alternatives to tinkr? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, tinkr 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 tinkr
Markdown round-tripping through XML, where every release is another thing it learned not to mangle.
tinkr parses Markdown into XML, lets callers manipulate it with XPath, and writes it back out — the yarn R6 class is the whole interface. Its development is defined by a single hard problem: surviving the round trip without corrupting syntax the XML representation does not natively model. Maintenance is shared between two active contributors and release cadence is roughly annual.
Velocity 0.0 · Last update 58m ago
Top 12 alternatives to tinkr
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
Tplyr made clinical summary tables explain where every number came from.
Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.
A cache-directory helper that has shipped nothing but CRAN-triggered patches for seven years.
gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.
A weather-data client that keeps rewriting its HTTP layer while slowly tightening its API.
datasetjson rebuilt its object model to track the CDISC Dataset-JSON 1.1 schema.
A TIFF reader for scientific imaging that spent its recent releases shedding weight and fixing memory bugs.
tern is migrating its entire analysis-function catalogue off make_afun(), one release at a time.
A reference posterior database that hit 1.0 with a paper, and is now graded on the statistics it ships.
A Qualtrics data-cleaning package that has been in maintenance mode since its CRAN acceptance.
Geospatial targets grew from two raster helpers into a tiling and multi-backend pipeline layer.
tinkr 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 |
|---|---|---|---|---|
| tinkr (baseline) | 0.0 | 0 | markdownxmlr-package | First release: the extensible yarn R6 class |
| 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 | — |
| excluder | 0.0 | 0 | survey-datadata-cleaningr-package | — |
| geotargets | 0.0 | 0 | geospatialpipelinesr-package | stars backend and dynamically branched raster tiles |
The 12 best tinkr 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 tinkr leans on markdown, xml and r package, tidytlg focuses on clinical trials, tables and r package.
tidytlg and tinkr 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 tinkr leans on markdown, xml and r package, Tplyr focuses on clinical trials, tables and traceability.
Tplyr and tinkr 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 tinkr leans on markdown, xml and r package, rlistings focuses on clinical trials, listings and pagination.
rlistings and tinkr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
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 tinkr leans on markdown, xml and r package, hoardr focuses on caching, r package and ropensci.
hoardr and tinkr 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 tinkr leans on markdown, xml and r package, gigs focuses on growth standards, neonatal health and r package.
gigs and tinkr 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 tinkr leans on markdown, xml and r package, riem focuses on weather data, api client and r package.
riem and tinkr 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 tinkr leans on markdown, xml and r package, datasetjson focuses on clinical data, cdisc and json.
datasetjson and tinkr 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 tinkr 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 tinkr leans on markdown, xml and r package, ijtiff focuses on imaging, tiff and r package.
ijtiff and tinkr 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 tinkr leans on markdown, xml and r package, tern focuses on clinical trials, tables and r package.
tern and tinkr 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 tinkr leans on markdown, xml and r package, posteriordb focuses on bayesian, benchmarking and reference data.
posteriordb and tinkr 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 tinkr vs posteriordb →
11. 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 tinkr leans on markdown, xml and r package, excluder focuses on survey data, data cleaning and r package.
excluder and tinkr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
12. geotargets · velocity 0.0
Geospatial targets grew from two raster helpers into a tiling and multi-backend pipeline layer.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “stars backend and dynamically branched raster tiles”.
Where tinkr leans on markdown, xml and r package, geotargets focuses on geospatial, pipelines and r package.
geotargets and tinkr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full geotargets trajectory → · Compare tinkr vs geotargets →
Frequently asked questions
What are the best alternatives to tinkr?
The top tinkr alternatives we currently track in analytics tools are tidytlg, Tplyr, rlistings, hoardr, gigs, ranked by recent ship velocity.
How is this list of tinkr alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare tinkr directly with one of these alternatives?
Yes — every card has a "Compare with tinkr" link to a side-by-side /compare page.