High Performance Interface to 'GBIF'
Overview
A high performance interface to the Global Biodiversity Information Facility, 'GBIF'. In contrast to 'rgbif', which can access small subsets of 'GBIF' data through web-based queries to a central server, 'gbifdb' provides enhanced performance for R users performing large-scale analyses on servers and cloud computing providers, providing full support for arbitrary 'SQL' or 'dplyr' operations on the complete 'GBIF' data tables (now over 1 billion records, and over a terabyte in size). 'gbifdb' accesses a copy of the 'GBIF' data in 'parquet' format, which is already readily available in commercial computing clouds such as the Amazon Open Data portal and the Microsoft Planetary Computer, or can be accessed directly without downloading, or downloaded to any server with suitable bandwidth and storage space. The high-performance techniques for local and remote access are described in https://duckdb.org/why_duckdb and https://arrow.apache.org/docs/r/articles/fs.html respectively.
gbif_download()now usesminioclientas a backend, offering dramatically (100x+) better performance, especially on multi-core machines with high bandwidth network connections.gbif_local()now defaults to duckdb backend, and utilizes duckdbfs to streamline the interface. The latest performance ofduckdbis substantially better than alternatives.
Breaking changes
gbif_conn()is deprecated
From NEWS.md in the release
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Carl Boettiger <cboettig@gmail.com>’ The BugReports field in DESCRIPTION has https://github.com/ropensci/gbifdb which should likely be https://github.com/ropensci/gbifdb/issues instead.
- NOTE11 OK, 2 NOTE2026-09-29
- ERROR10 OK, 2 NOTE, 1 ERROR2026-09-04
- NOTE11 OK, 2 NOTE2026-05-24
- ERROR10 OK, 2 NOTE, 1 ERROR2026-05-17
- NOTE11 OK, 2 NOTE2026-05-15
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- ERROR11 OK, 1 NOTE, 1 ERROR2026-05-13
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 7 (1 internal)includes a package overview page
- Examples that run
- 100%6 run in a plain check (4 of them under a condition)
- Exported functions with examples
- 100%
- Documented parameters
- 88%
- Return-value docs
- 100%
- Help pages citing references
- 0%
- Intro to gbifdb HTML
Downloads
Repository
- PRs merged (all time)
- 78%
- Median days to close, 50 most recently updated closed issues
- 3
- Median days to close, 50 most recently updated closed PRs
- 1
Stars over time
Forks over time
Issues over time
PRs over time
11 development-tooling and community-health practices detected across 8 families in the upstream repository
Checks run against github.com/ropensci/gbifdb on 2026-10-21.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
GitHub Pages site last deployed 2022-03-15
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Dependencies
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.0.0Latest
- RR 4.3.0 released · 2023-04-21
- 0.1.22022-05-21
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2022-05-21
- Total releases
- 2 / 4 yrs
- License
- Apache License (>= 2)
- Minimum R
- ≥ 4.0
- Download size
- 293 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("gbifdb")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.