n2kanalysis
n2kanalysis has spent eight years wiring INLA models to an S3 bucket.
Comparison · Analytics
spanishoddata vs tmap
A side-by-side editorial comparison of spanishoddata and tmap — release velocity, themes, recent moves, and the top alternatives to consider.
spanishoddata vs tmap: at a glance
What is spanishoddata?
spanishoddata spent a year finding out its 2020-2021 data was quietly incomplete.
spanishoddata provides access to Spain's open mobility origin-destination datasets from the Ministry of Transport, converting them into DuckDB and parquet for analysis at scale. Nearly every release in this window is a data-fidelity fix rather than a feature: district-to-municipal reaggregation was wrong for the 2020-2021 vintage, literal 'NA' strings in the source CSVs broke DuckDB enum casting, and the Amazon S3 metadata bucket turned out to be truncated at March 2021, silently hiding data.
What is tmap?
Two years after a from-scratch rewrite, tmap is filling in the layers v4 promised.
tmap draws thematic maps in R across static and interactive modes. The 4.0 rewrite replaced the layer syntax with explicit visual variables, scales, legends and charts, and opened the package to extensions; the 4.x line since has been steady capability fill-in. The 4.4 release adds tm_circles with fixed unit-based radii, a blend argument on every layer, and hitboxes so small objects stay clickable in view mode.
spanishoddata vs tmap: editorial side-by-side
spanishoddata
0.0ANALYTICS
spanishoddata spent a year finding out its 2020-2021 data was quietly incomplete.
◆ Current state
spanishoddata provides access to Spain's open mobility origin-destination datasets from the Ministry of Transport, converting them into DuckDB and parquet for analysis at scale. Nearly every release in this window is a data-fidelity fix rather than a feature: district-to-municipal reaggregation was wrong for the 2020-2021 vintage, literal 'NA' strings in the source CSVs broke DuckDB enum casting, and the Amazon S3 metadata bucket turned out to be truncated at March 2021, silently hiding data.
◆ Where it's heading
The package is in a trust-building phase. The pattern across 0.2.1 through 0.2.6 is the maintainers repeatedly discovering that upstream metadata and the package's own aggregation were misrepresenting what data existed, then fixing it and adding a check so it surfaces next time. That is now backed by infrastructure: comprehensive unit tests plus weekly live-data runs on GitHub workers that alert maintainers when the upstream ministry changes something. The last feature release sits outside the six-entry window, which is itself the story.
◆ Prediction
Expect continued upstream-tracking fixes as the ministry's API and S3 layout shift, with the experimental quick-access and checksum functions the most likely candidates for promotion to stable.
tmap
0.0ANALYTICS
Two years after a from-scratch rewrite, tmap is filling in the layers v4 promised.
◆ Current state
tmap draws thematic maps in R across static and interactive modes. The 4.0 rewrite replaced the layer syntax with explicit visual variables, scales, legends and charts, and opened the package to extensions; the 4.x line since has been steady capability fill-in. The 4.4 release adds tm_circles with fixed unit-based radii, a blend argument on every layer, and hitboxes so small objects stay clickable in view mode.
◆ Where it's heading
The extension mechanism introduced in 4.0 is where the interesting work is migrating: PMTiles support arrived through a separate experimental tmap.sources package, mode cycling became configurable via tmap_mode_pool() so packages like tmap.mapgl can register themselves, and shiny dispatch methods were added specifically to let other modes integrate. The core package is increasingly a rendering contract that satellite packages plug into.
◆ Prediction
Expect more rendering backends to land as sibling packages rather than in tmap itself, with the core continuing to absorb the dispatch and mode-management plumbing they need.
Alternatives to spanishoddata and tmap
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 spanishoddata or tmap.
n1qn1c
A Fortran-descended optimizer got thread-safe, then found two flags that never worked.
ggstatsplot
ggstatsplot reached 1.0 by adding tests, having outsourced its statistics years ago.
collapse
collapse got a JSS paper and a 7x fmean speedup in the same release.
gtsummary
gtsummary is quietly rebuilding itself around analysis results data, one table verb at a time.
broadcast
broadcast is filling in NumPy-style array broadcasting for R, operator by operator.
See all spanishoddata alternatives → · See all tmap alternatives →
Recent activity from spanishoddata and tmap
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agotmapDocumentation-only patch tidying man-page titles
- 1mo agotmaptm_circles, layer blending and clickable small objects
- 2mo agospanishoddataRedirected district files identified in v1 metadata
- 2mo agospanishoddataS3 metadata truncation at March 2021 bypassed via XML feed
- 4mo agospanishoddataLiteral NA strings no longer break DuckDB casting
- 4mo agospanishoddataLarge urban area zones can be reloaded again
- 5mo agospanishoddatatime_slot column removed; test coverage goes live-weekly
- 1y agospanishoddataDistrict-to-municipal reaggregation corrected for 2020-2021
- 1y agotmaptmap v4 rewritten from scratch with a new layer syntax ⚡
- 1y agotmapFinal 3.x release before the v4 rewrite
Frequently asked questions
What is the difference between spanishoddata and tmap?
They serve adjacent needs but don't currently overlap on shipped themes. spanishoddata and tmap 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 spanishoddata better than tmap?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. spanishoddata and tmap 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 spanishoddata?
Top spanishoddata alternatives in Analytics are ranked by recent ship velocity. Browse the "spanishoddata alternatives" section above for the current picks, or visit /alternatives/spanishoddata for the full list with editorial commentary on each.
What are the best alternatives to tmap?
Top tmap alternatives in Analytics are ranked by recent ship velocity. Browse the "tmap alternatives" section above for the current picks, or visit /alternatives/tmap-r for the full list with editorial commentary on each.