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Comparison · Analytics

posterior vs rgbif

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

posterior vs rgbif: at a glance

Featureposteriorrgbif
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesbayesian, rvar, pareto-diagnostics, r-infrastructuregbif, biodiversity-data, bulk-downloads, sql-queries
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is posterior?

posterior keeps deepening two things: the rvar type and Pareto-based diagnostics.

The releases in this window advance on two fronts. The rvar random-variable type gained factor and ordered subtypes (1.4.0), rvar-indexed slicing and `rvar_ifelse()` (1.5.0), base `%*%` matrix multiplication and indexed variable names (1.6.0). Separately, Pareto diagnostics have grown from `pareto_smooth()` options and individual `pareto_khat()`-family functions (1.6.0) through `pit()` for draws and rvars (1.6.1) to exported generalized-Pareto functions and `pareto_pit` (1.7.0). 1.7.1 is a paperwork release for a JOSS submission.

Read the full posterior 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 →

posterior vs rgbif: editorial side-by-side

P
posterior
ANALYTICS
0.0

posterior keeps deepening two things: the rvar type and Pareto-based diagnostics.

◆ Current state

The releases in this window advance on two fronts. The rvar random-variable type gained factor and ordered subtypes (1.4.0), rvar-indexed slicing and `rvar_ifelse()` (1.5.0), base `%*%` matrix multiplication and indexed variable names (1.6.0). Separately, Pareto diagnostics have grown from `pareto_smooth()` options and individual `pareto_khat()`-family functions (1.6.0) through `pit()` for draws and rvars (1.6.1) to exported generalized-Pareto functions and `pareto_pit` (1.7.0). 1.7.1 is a paperwork release for a JOSS submission.

◆ Where it's heading

posterior is positioning itself as shared infrastructure rather than an end-user package: 1.7.0 explicitly exports generalized-Pareto machinery 'for use in other packages', and the JOSS paper is a citation vehicle for the same audience. The rvar work points the same way — a random-variable type other Bayesian packages can build on. Cadence is steady but unhurried, roughly one feature release a year.

◆ Prediction

More diagnostic functions are likely to be exported for downstream reuse, following the pattern 1.7.0 established with the generalized-Pareto helpers.

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 posterior 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 posterior or rgbif.

See all posterior alternatives → · See all rgbif alternatives →

Recent activity from posterior and rgbif

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

  1. 2mo agoposteriorposterior 1.7.1 released for JOSS paper
  2. 3mo agoposteriorposterior 1.7.0 exports generalized-Pareto functions
  3. 4mo agorgbifrgbif 3.8.5 adds occurrence download statistics functions
  4. 8mo agorgbifrgbif 3.8.4 moves name matching to GBIF API v2
  5. 10mo agoposteriorposterior 1.6.1 adds pit() for draws and rvars
  6. 11mo agorgbifrgbif 3.8.3 adds GRSciColl search, relays GBIF paging throttle
  7. 1y agorgbifrgbif 3.8.2 resolves download DOIs to keys
  8. 1y agoposteriorposterior 1.6.0 adds Pareto diagnostics and ESS-based thinning
  9. 1y agorgbifrgbif 3.8.1 adds SQL-based occurrence downloads
  10. 2y agorgbifrgbif 3.8.0 soft-deprecates occ_data(), adds download describe
  11. 2y agoposteriorposterior 1.5.0 adds nested-Rhat and rvar indexing
  12. 3y agoposteriorposterior 1.4.0 adds factor and ordered rvar subtypes

Frequently asked questions

What is the difference between posterior and rgbif?

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

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

Top posterior alternatives in Analytics are ranked by recent ship velocity. Browse the "posterior alternatives" section above for the current picks, or visit /alternatives/posterior 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.