n2kanalysis
n2kanalysis has spent eight years wiring INLA models to an S3 bucket.
Comparison · Analytics
spanishoddata vs treeshap
A side-by-side editorial comparison of spanishoddata and treeshap — release velocity, themes, recent moves, and the top alternatives to consider.
spanishoddata vs treeshap: 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 treeshap?
treeshap keeps widening its tree-model coverage while the SHAP math stays put.
treeshap computes exact SHAP values for tree ensembles in R, reaching each modelling framework through a per-framework unify() adapter. Since returning to CRAN in 2023 it has added GPBoost, ranger survival forests and multi-output models to that adapter layer. Four releases in three years, each dominated by adapter work contributed by users of one specific framework.
spanishoddata vs treeshap: 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.
treeshap
0.0ANALYTICS
treeshap keeps widening its tree-model coverage while the SHAP math stays put.
◆ Current state
treeshap computes exact SHAP values for tree ensembles in R, reaching each modelling framework through a per-framework unify() adapter. Since returning to CRAN in 2023 it has added GPBoost, ranger survival forests and multi-output models to that adapter layer. Four releases in three years, each dominated by adapter work contributed by users of one specific framework.
◆ Where it's heading
The direction is breadth of model support rather than new explanation methods: every release since the first CRAN submission adds or repairs a unify() backend. Maintenance is community-driven, with named contributors fixing the framework they personally use. Nothing in these entries points at work on the SHAP algorithms themselves.
◆ Prediction
Expect the next release to add or repair another unify() adapter as a contributor brings their own framework, rather than to change how explanations are computed.
Alternatives to spanishoddata and treeshap
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 treeshap.
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 treeshap alternatives →
Recent activity from spanishoddata and treeshap
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2mo agospanishoddataRedirected district files identified in v1 metadata
- 2mo agospanishoddataS3 metadata truncation at March 2021 bypassed via XML feed
- 3mo agotreeshapGPBoost support lands; xgboost adapter repaired
- 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
- 2y agotreeshapFixes broken lightgbm.unify examples
- 2y agotreeshapMulti-output model explanations added
- 2y agotreeshapFirst CRAN release consolidates the unify() adapters ⚡
Frequently asked questions
What is the difference between spanishoddata and treeshap?
They serve adjacent needs but don't currently overlap on shipped themes. spanishoddata and treeshap 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 treeshap?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. spanishoddata and treeshap 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 treeshap?
Top treeshap alternatives in Analytics are ranked by recent ship velocity. Browse the "treeshap alternatives" section above for the current picks, or visit /alternatives/treeshap for the full list with editorial commentary on each.