tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
Comparison · Analytics
datapack vs tinkr
A side-by-side editorial comparison of datapack and tinkr — release velocity, themes, recent moves, and the top alternatives to consider.
datapack vs tinkr: at a glance
What is datapack?
The DataONE bundler learned to edit packages in 2017 and has coasted on that ever since
datapack assembles heterogeneous data files and metadata into a single transportable bundle, serialised as an OAI-ORE resource map and BagIt archive, for deposit into repositories like DataONE. Its functional surface settled with the 1.3.x line, which made assembled packages editable rather than write-once. Since then the releases have been sparse and defensive: SHA-256 as the default checksum in 1.4.0, BagIt spec conformance in 1.4.1, and a 2025 patch that states outright it contains no new features.
What is 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.
datapack vs tinkr: editorial side-by-side
datapack
0.0ANALYTICS
The DataONE bundler learned to edit packages in 2017 and has coasted on that ever since
◆ Current state
datapack assembles heterogeneous data files and metadata into a single transportable bundle, serialised as an OAI-ORE resource map and BagIt archive, for deposit into repositories like DataONE. Its functional surface settled with the 1.3.x line, which made assembled packages editable rather than write-once. Since then the releases have been sparse and defensive: SHA-256 as the default checksum in 1.4.0, BagIt spec conformance in 1.4.1, and a 2025 patch that states outright it contains no new features.
◆ Where it's heading
The arc runs from assembly to correctness of the resulting archive. Later releases keep tightening the metadata the resource map must carry — dc:creator always present, dcterms:modified always updated, the package correctly flagged as modified after any access-policy change — because a bundle whose provenance record is subtly wrong is worse than one that fails outright. The three-year gap between 1.4.1 and 1.4.2, and the latter's CRAN-note content, place this package firmly in preservation.
◆ Prediction
Expect the next release, if any, to be another CRAN-compliance patch rather than functional work. The 1.4.2 note that it contains no new features is the clearest statement in the feed about where this package sits.
tinkr
0.0ANALYTICS
Markdown round-tripping through XML, where every release is another thing it learned not to mangle.
◆ Current state
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.
◆ Where it's heading
Each release extends the set of constructs that get protected across the round trip — curly braces, escaped brackets, inline math, dollar signs used as currency, French-style dollars, fenced divs, frontmatter. The 0.3.0 notes also add get_protected(), append_md(), and prepend_md(), which is the first sign of building a manipulation API on top of the protection machinery rather than only widening it.
◆ Prediction
Expect the protection list to keep growing toward full Quarto syntax coverage, which the first release named as the long-term goal and which fenced divs and frontmatter both move toward.
Alternatives to datapack and tinkr
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 datapack or tinkr.
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 datapack alternatives → · See all tinkr alternatives →
Recent activity from datapack and tinkr
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 10mo agodatapackCRAN documentation and CI cleanup
- 1y agotinkrFrontmatter, fenced divs, and content-insertion methods
- 3y agotinkrProtects curly braces, escaped brackets, and link anchors
- 3y agotinkrFirst release: the extensible yarn R6 class ⚡
- 4y agodatapackBagIt serialisation brought in line with the current spec
- 5y agodatapackSHA-256 becomes the default checksum algorithm
- 6y agodatapackResource map metadata guaranteed; removeRelationships() added
- 8y agodatapackupdateMetadata no longer drops package relationships
- 9y agodatapackAssembled data packages become editable in place ⚡
Frequently asked questions
What is the difference between datapack and tinkr?
They serve adjacent needs but don't currently overlap on shipped themes. datapack and tinkr 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 datapack better than tinkr?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. datapack and tinkr 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 datapack?
Top datapack alternatives in Analytics are ranked by recent ship velocity. Browse the "datapack alternatives" section above for the current picks, or visit /alternatives/datapack for the full list with editorial commentary on each.
What are the best alternatives to tinkr?
Top tinkr alternatives in Analytics are ranked by recent ship velocity. Browse the "tinkr alternatives" section above for the current picks, or visit /alternatives/tinkr for the full list with editorial commentary on each.