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Comparison · Analytics

patchwork vs rgbif

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

patchwork vs rgbif: at a glance

Featurepatchworkrgbif
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesggplot2, composition, tables, layoutgbif, biodiversity-data, bulk-downloads, sql-queries
Last editorial update3h ago1h ago
WebsiteVisit →Visit →

What is patchwork?

patchwork stopped being a ggplot composer and became a page composer.

patchwork assembles plots into compositions with arithmetic operators, and the 1.x line has steadily hardened that grammar: guide and axis collection, free() to exempt a plot from alignment, inset_element() for overlays, and list-like behaviour so lapply() and length() work on a patchwork. Version 1.3.0 added native gt table support. The two releases since are a load-time warning fix and a compatibility pass for the next ggplot2 release.

Read the full patchwork trajectory →

What is rgbif?

rgbif is steadily pushing users off paged searching and onto real downloads.

rgbif ships several times a year and the recent releases cluster around downloads. 3.8.1 added `occ_download_sql()` for SQL-based occurrence downloads; 3.8.2 added DOI-to-download-key resolution and institutionKey downloads; 3.8.3 relayed GBIF's new throttling of bulk paging through `occ_search()` with a message pointing users at `occ_download()`; 3.8.5 added a family of `occ_download_stats_*()` functions plus multiple-taxonomy and verbatim-extension downloads. Alongside that, `name_backbone()` moved to GBIF API v2, and 3.8.0 soft-deprecated `occ_data()`.

Read the full rgbif trajectory →

patchwork vs rgbif: editorial side-by-side

P
patchwork
ANALYTICS
0.0

patchwork stopped being a ggplot composer and became a page composer.

◆ Current state

patchwork assembles plots into compositions with arithmetic operators, and the 1.x line has steadily hardened that grammar: guide and axis collection, free() to exempt a plot from alignment, inset_element() for overlays, and list-like behaviour so lapply() and length() work on a patchwork. Version 1.3.0 added native gt table support. The two releases since are a load-time warning fix and a compatibility pass for the next ggplot2 release.

◆ Where it's heading

The centre of gravity is shifting from alignment mechanics to composition scope. Early releases were almost entirely bug fixes against grid and ggplot2 internals — strip placement, fixed aspect ratios, guide merging. Recent ones add object types and escape hatches instead. Between feature cycles the package is in maintenance defined by ggplot2's release calendar, which is what 1.3.1 is in its entirety.

◆ Prediction

Expect wrap_table() to grow beyond gt to other table objects, and expect the next substantive release to be triggered by a ggplot2 internals change rather than by a patchwork roadmap.

R
rgbif
ANALYTICS
0.0

rgbif is steadily pushing users off paged searching and onto real downloads.

◆ Current state

rgbif ships several times a year and the recent releases cluster around downloads. 3.8.1 added `occ_download_sql()` for SQL-based occurrence downloads; 3.8.2 added DOI-to-download-key resolution and institutionKey downloads; 3.8.3 relayed GBIF's new throttling of bulk paging through `occ_search()` with a message pointing users at `occ_download()`; 3.8.5 added a family of `occ_download_stats_*()` functions plus multiple-taxonomy and verbatim-extension downloads. Alongside that, `name_backbone()` moved to GBIF API v2, and 3.8.0 soft-deprecated `occ_data()`.

◆ Where it's heading

Two things are happening at once. GBIF is discouraging bulk retrieval through the search API, and rgbif is building out the download path fast enough to absorb the traffic — SQL queries, DOI round-tripping, format description, and now statistics about the downloads themselves. Metadata coverage has expanded in parallel, with a dozen `dataset_*()` functions in 3.7.9 and GRSciColl institution search in 3.8.3. The deprecations are consistent: `occ_data()`, `occ_facet()`, `occ_count(type=)` all retired in favour of narrower replacements.

◆ Prediction

The download surface is where the next additions will land — likely more SQL-download tooling and further statistics endpoints, following 3.8.1 and 3.8.5.

Alternatives to patchwork and rgbif

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 patchwork or rgbif.

See all patchwork alternatives → · See all rgbif alternatives →

Recent activity from patchwork and rgbif

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

  1. 4mo agorgbifrgbif 3.8.5 adds occurrence download statistics functions
  2. 8mo agorgbifrgbif 3.8.4 moves name matching to GBIF API v2
  3. 11mo agorgbifrgbif 3.8.3 adds GRSciColl search, relays GBIF paging throttle
  4. 11mo agopatchworkFix spurious load-time warnings
  5. 1y agopatchworkCompatibility pass for the next ggplot2 release
  6. 1y agorgbifrgbif 3.8.2 resolves download DOIs to keys
  7. 1y agorgbifrgbif 3.8.1 adds SQL-based occurrence downloads
  8. 1y agopatchworkgt tables become first-class patchwork objects
  9. 2y agorgbifrgbif 3.8.0 soft-deprecates occ_data(), adds download describe
  10. 2y agopatchworkAxis collection and free() arrive
  11. 3y agopatchworkPatchworks behave like lists; NULL becomes a no-op
  12. 3y agopatchworkClearer error when plotting space is too small

Frequently asked questions

What is the difference between patchwork and rgbif?

They serve adjacent needs but don't currently overlap on shipped themes. patchwork and rgbif 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 patchwork better than rgbif?

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

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

What are the best alternatives to rgbif?

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