rnaturalearth
rnaturalearth finished its sp exit and is now optimising how the data actually arrives.
A side-by-side editorial comparison of mlr3filters and rgbif — release velocity, themes, recent moves, and the top alternatives to consider.
mlr3filters grows one feature-selection filter at a time
mlr3filters provides feature-filter methods to mlr3. Its releases follow a consistent shape: one or two new filters, broader feature-type support on existing ones, and error-message work. Boruta and a univariate Cox filter arrived in 0.8.0; 0.9.0 extended Boruta to logical, factor and ordered features and moved param_set to an active binding.
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()`.
mlr3filters provides feature-filter methods to mlr3. Its releases follow a consistent shape: one or two new filters, broader feature-type support on existing ones, and error-message work. Boruta and a univariate Cox filter arrived in 0.8.0; 0.9.0 extended Boruta to logical, factor and ordered features and moved param_set to an active binding.
This is incremental infrastructure that tracks mlr3's own conventions — cli printing, prototype-based dictionaries, featureless learners as defaults — while slowly widening which data types each filter accepts. Nothing in the recent history suggests a change of scope.
Expect another filter or two plus continued feature-type broadening, keeping pace with mlr3 core conventions.
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()`.
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.
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.
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 mlr3filters or rgbif.
rnaturalearth finished its sp exit and is now optimising how the data actually arrives.
writexl spent nine years refusing to do formatting, then shipped all of it in 2.0.0.
rstanarm is community-maintained now, tracking Stan and lme4 rather than adding models.
taxa started a ground-up rewrite in 2021 and has published almost nothing since.
rotl's whole release history is keeping name matching honest against a moving taxonomy.
taxize spends its releases absorbing other people's API changes, one dead source at a time.
See all mlr3filters alternatives → · See all rgbif alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. mlr3filters 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. mlr3filters 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.
Top mlr3filters alternatives in Analytics are ranked by recent ship velocity. Browse the "mlr3filters alternatives" section above for the current picks, or visit /alternatives/mlr3filters for the full list with editorial commentary on each.
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.