tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
Comparison · Analytics
datapack vs ijtiff
A side-by-side editorial comparison of datapack and ijtiff — release velocity, themes, recent moves, and the top alternatives to consider.
datapack vs ijtiff: 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 ijtiff?
A TIFF reader for scientific imaging that spent its recent releases shedding weight and fixing memory bugs.
ijtiff reads and writes TIFF files the way ImageJ writes them, which ordinary R TIFF readers get wrong — multi-channel, multi-frame, and unusual bit depths. The 3.1.x line is dominated by memory correctness in the C tag-handling layer, alongside dropping the large imager dependency from the display path. Cadence is sporadic, with multi-year gaps.
datapack vs ijtiff: 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.
ijtiff
0.0ANALYTICS
A TIFF reader for scientific imaging that spent its recent releases shedding weight and fixing memory bugs.
◆ Current state
ijtiff reads and writes TIFF files the way ImageJ writes them, which ordinary R TIFF readers get wrong — multi-channel, multi-frame, and unusual bit depths. The 3.1.x line is dominated by memory correctness in the C tag-handling layer, alongside dropping the large imager dependency from the display path. Cadence is sporadic, with multi-year gaps.
◆ Where it's heading
Two threads run through the window. The C layer is being hardened — memory leaks in tag handling, buffer cleanup, PROTECT errors, validation of malformed files — which is the kind of work that surfaces when a package gets run against real-world files at volume. Separately, the R layer is shedding dependencies, with base graphics replacing imager for display. Both make the package cheaper and safer to depend on rather than more capable.
◆ Prediction
Expect continued C-level correctness work rather than format features, since three of the last three substantive releases were memory or compiler fixes.
Alternatives to datapack and ijtiff
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 ijtiff.
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 ijtiff alternatives →
Recent activity from datapack and ijtiff
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 10mo agodatapackCRAN documentation and CI cleanup
- 1y agoijtiffPROTECT-error and documentation fixes across 3.1.1-3.1.3
- 1y agoijtiffDrops the imager dependency; fixes tag-handling memory leaks
- 3y agoijtiffMoves to rlang::abort() and away from magrittr
- 3y agoijtiffFixes NEWS.md headings
- 4y agodatapackBagIt serialisation brought in line with the current spec
- 5y agoijtiffCompatibility with libtiff using C99 stdint.h
- 5y agoijtiffQuiets pkg-config warnings; drops LazyData
- 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 ijtiff?
They serve adjacent needs but don't currently overlap on shipped themes. datapack and ijtiff 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 ijtiff?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. datapack and ijtiff 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 ijtiff?
Top ijtiff alternatives in Analytics are ranked by recent ship velocity. Browse the "ijtiff alternatives" section above for the current picks, or visit /alternatives/ijtiff for the full list with editorial commentary on each.