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Comparison · Analytics

datapack vs osmextract

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

datapack vs osmextract: at a glance

Featuredatapackosmextract
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesresearch-data, dataone, provenance, bagitopenstreetmap, geospatial, r-language, gdal
Last editorial update45m 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 osmextract?

osmextract stopped throwing your OpenStreetMap downloads away at the end of every session.

osmextract downloads OpenStreetMap extracts from Geofabrik, BBBike and openstreetmap.fr and translates them into sf objects via GDAL. The 0.6.0 release moved its download cache from `tempdir()` to a persistent `tools::R_user_dir()` location and raised the R floor to 4.1.0 to get it. It also made spatial `place` inputs self-clipping: pass an sf or bbox object and the boundary is now set to match, so only the relevant slice of a country-sized extract is processed.

Read the full osmextract trajectory →

datapack vs osmextract: 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.

O
osmextract
ANALYTICS
0.0

osmextract stopped throwing your OpenStreetMap downloads away at the end of every session.

◆ Current state

osmextract downloads OpenStreetMap extracts from Geofabrik, BBBike and openstreetmap.fr and translates them into sf objects via GDAL. The 0.6.0 release moved its download cache from `tempdir()` to a persistent `tools::R_user_dir()` location and raised the R floor to 4.1.0 to get it. It also made spatial `place` inputs self-clipping: pass an sf or bbox object and the boundary is now set to match, so only the relevant slice of a country-sized extract is processed.

◆ Where it's heading

Two threads run through every release. One is chasing GDAL — SQL syntax adjusted for 3.10, ogr2ogr options fixed for 3.9, and an `osmconf.ini` that 0.6.0 finally keeps automatically in sync with whatever sf or GDAL provides rather than shipping a snapshot. The other is the road-network extraction added experimentally in 0.3.1, which has been quietly accumulating real routing semantics since: `access = no` links retained when the mode-specific tag permits them, a `oneway` column by default for driving, and `motor_vehicle` always included.

◆ Prediction

Given that `oe_get_network()` has gained transport-mode detail in three separate releases while remaining flagged as experimental, the next substantive work is most likely there — either more modes or a formal exit from experimental status.

Alternatives to datapack and osmextract

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 osmextract.

See all datapack alternatives → · See all osmextract alternatives →

Recent activity from datapack and osmextract

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

  1. 4mo agoosmextractDownloads move to a persistent cache outside tempdir
  2. 10mo agodatapackCRAN documentation and CI cleanup
  3. 1y agoosmextractoe_match gains a version argument for historical extracts
  4. 1y agoosmextractRouting semantics sharpen for driving and restricted-access links
  5. 2y agoosmextract51 new openstreetmap.fr regions and a GDAL 3.9 fix
  6. 3y agoosmextractNon-Geofabrik downloads were saved under the wrong filename
  7. 3y agoosmextractHelp files regenerated for valid HTML5
  8. 4y agodatapackBagIt serialisation brought in line with the current spec
  9. 5y agodatapackSHA-256 becomes the default checksum algorithm
  10. 6y agodatapackResource map metadata guaranteed; removeRelationships() added
  11. 8y agodatapackupdateMetadata no longer drops package relationships
  12. 9y agodatapackAssembled data packages become editable in place

Frequently asked questions

What is the difference between datapack and osmextract?

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

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

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