tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
Comparison · Analytics
datapack vs hoardr
A side-by-side editorial comparison of datapack and hoardr — release velocity, themes, recent moves, and the top alternatives to consider.
datapack vs hoardr: 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 hoardr?
A cache-directory helper that has shipped nothing but CRAN-triggered patches for seven years.
hoardr manages local cache directories for other R packages — where files go, how they are keyed, whether they exist. It underpins caching in several rOpenSci data clients. The last functional additions were in 2018; everything since is a patch issued because CRAN reported a test failure or the maintainer changed.
datapack vs hoardr: 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.
hoardr
0.0ANALYTICS
A cache-directory helper that has shipped nothing but CRAN-triggered patches for seven years.
◆ Current state
hoardr manages local cache directories for other R packages — where files go, how they are keyed, whether they exist. It underpins caching in several rOpenSci data clients. The last functional additions were in 2018; everything since is a patch issued because CRAN reported a test failure or the maintainer changed.
◆ Where it's heading
This is infrastructure that has reached its final shape. Three of the last three releases were reactive: two responses to CRAN test-failure notifications, one to a maintainer handover. The single behavioural change in that stretch — forward slashes in paths on every operating system — is a consistency fix for downstream packages rather than a feature. Its release cadence is set by CRAN's checks, not by demand.
◆ Prediction
Expect the next release to be triggered by another CRAN check failure rather than by new functionality, matching every release since 2018.
Alternatives to datapack and hoardr
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 hoardr.
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.
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.
datasetjson
datasetjson rebuilt its object model to track the CDISC Dataset-JSON 1.1 schema.
See all datapack alternatives → · See all hoardr alternatives →
Recent activity from datapack and hoardr
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 10mo agodatapackCRAN documentation and CI cleanup
- 1y agohoardrPaths use forward slashes on every platform
- 2y agohoardrTest-only patch for a CRAN failure
- 3y agohoardrPatch release for maintainer handover
- 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
- 7y agohoardrFixes cache paths leaking between HoardClient instances
- 7y agohoardrFile-existence checks and full-path cache configuration
- 8y agodatapackupdateMetadata no longer drops package relationships
- 9y agodatapackAssembled data packages become editable in place ⚡
- 9y agohoardrCRAN disk-writing policy compliance
Frequently asked questions
What is the difference between datapack and hoardr?
They serve adjacent needs but don't currently overlap on shipped themes. datapack and hoardr 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 hoardr?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. datapack and hoardr 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 hoardr?
Top hoardr alternatives in Analytics are ranked by recent ship velocity. Browse the "hoardr alternatives" section above for the current picks, or visit /alternatives/hoardr for the full list with editorial commentary on each.