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datapack vs typst-gather

A side-by-side editorial comparison of datapack and typst-gather — release velocity, themes, recent moves, and the top alternatives to consider.

datapack vs typst-gather: at a glance

Featuredatapacktypst-gather
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesresearch-data, dataone, provenance, bagittypst, hermetic-builds, rust, cli-tooling
Last editorial update46m ago1h ago
WebsiteVisit →Visit →

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.

Read the full datapack trajectory →

What is typst-gather?

Extracted from Quarto's CLI, typst-gather learned to explain a dependency tree before fetching it.

typst-gather collects Typst packages into a local cache so documents build offline and hermetically. It was extracted from quarto-cli and reached CRAN-equivalent shape in three releases over a single day, then added an `analyze` subcommand that walks `@Preview` and `@Local` imports — following transitive dependencies of local packages — and prints structured JSON without downloading or copying anything.

Read the full typst-gather trajectory →

datapack vs typst-gather: editorial side-by-side

D
datapack
ANALYTICS
0.0

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.

T
typst-gather
ANALYTICS
0.0

Extracted from Quarto's CLI, typst-gather learned to explain a dependency tree before fetching it.

◆ Current state

typst-gather collects Typst packages into a local cache so documents build offline and hermetically. It was extracted from quarto-cli and reached CRAN-equivalent shape in three releases over a single day, then added an `analyze` subcommand that walks `@Preview` and `@Local` imports — following transitive dependencies of local packages — and prints structured JSON without downloading or copying anything.

◆ Where it's heading

The 0.2.0 restructuring is the tell: subcommands with backwards compatibility, config readable from stdin, and every diagnostic message moved to stderr so stdout carries nothing but JSON. Those are the conventions of a tool meant to be called by another program, not typed by a person. Given its origin inside Quarto's toolchain, the plausible consumer is a build system that needs to know a document's package requirements before deciding what to fetch.

◆ Prediction

The analyze path currently reports imports; the natural extension visible from here is acting on that report — lockfile output or verification that a cache satisfies a document's dependency set — though the entries do not commit to either.

Alternatives to datapack and typst-gather

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 typst-gather.

See all datapack alternatives → · See all typst-gather alternatives →

Recent activity from datapack and typst-gather

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 5mo agotypst-gatheranalyze subcommand reports the import graph as JSON
  2. 5mo agotypst-gatherWindows path escaping fix and README expansion
  3. 5mo agotypst-gatherSplit out of quarto-cli as a standalone package gatherer
  4. 10mo agodatapackCRAN documentation and CI cleanup
  5. 4y agodatapackBagIt serialisation brought in line with the current spec
  6. 5y agodatapackSHA-256 becomes the default checksum algorithm
  7. 6y agodatapackResource map metadata guaranteed; removeRelationships() added
  8. 8y agodatapackupdateMetadata no longer drops package relationships
  9. 9y agodatapackAssembled data packages become editable in place

Frequently asked questions

What is the difference between datapack and typst-gather?

They serve adjacent needs but don't currently overlap on shipped themes. datapack and typst-gather 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 typst-gather?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. datapack and typst-gather 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 typst-gather?

Top typst-gather alternatives in Analytics are ranked by recent ship velocity. Browse the "typst-gather alternatives" section above for the current picks, or visit /alternatives/typst-gather for the full list with editorial commentary on each.