rjd3highfreq
rjd3highfreq ships whatever the Java side ships, and only occasionally says what that was.
Comparison · Analytics
distributional vs spanishoddata
A side-by-side editorial comparison of distributional and spanishoddata — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
distributional vs spanishoddata: at a glance
What is distributional?
distributional taught + and - to work on any pair of distributions, closing the algebra it started with.
The R package providing vectorised distribution objects — the substrate that forecasting and anomaly tooling in the same ecosystem builds on. Cadence has picked up sharply, with four releases in the six months to June 2026 against roughly one a year before that. Two kinds of work alternate: adding distribution families (Dirichlet, Horseshoe, Laplace, multivariate t, g-and-k, the extreme-value pair) and deepening what can be computed generically across all of them.
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.
distributional vs spanishoddata: editorial side-by-side
distributional
0.0ANALYTICS
distributional taught + and - to work on any pair of distributions, closing the algebra it started with.
◆ Current state
The R package providing vectorised distribution objects — the substrate that forecasting and anomaly tooling in the same ecosystem builds on. Cadence has picked up sharply, with four releases in the six months to June 2026 against roughly one a year before that. Two kinds of work alternate: adding distribution families (Dirichlet, Horseshoe, Laplace, multivariate t, g-and-k, the extreme-value pair) and deepening what can be computed generically across all of them.
◆ Where it's heading
The generic-computation thread is the one that matters and it has been building steadily: a Monte Carlo default method for cdf(), has_symmetry() to let algorithms specialise, hdr() moving to exact results for symmetric distributions and 4096 quantiles elsewhere, open-versus-closed support intervals. Version 0.8.0 is where that thread arrives somewhere — arithmetic on arbitrary distributions, with closed forms used when they exist and numerical convolution when they do not. The package is positioning itself as a computational layer rather than a catalogue, which is consistent with how weird and the forecasting packages consume it.
◆ Prediction
Expect the numerical machinery behind dist_convolved() to be reused for other operators, and more generics like has_symmetry() that let downstream algorithms take exact paths when a distribution supports them.
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.
Alternatives to distributional and spanishoddata
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 distributional or spanishoddata.
audubon
audubon's release feed is almost entirely Renovate bumping the JavaScript toolchain behind its Japanese text splitter.
affiner
affiner is quietly turning a grid transformation helper into a small computational geometry library.
ageproR
ageproR spent two years chasing a moving file format, then added the recruitment models that justify the effort.
r-ledger
ledger adds a Rust toolchain fallback, so beancount imports work whether or not the Python tooling is installed.
gridpattern
gridpattern keeps widening its catalogue, and the newest patterns finally use the device's own line rendering.
See all distributional alternatives → · See all spanishoddata alternatives →
Recent activity from distributional and spanishoddata
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agodistributionalConditional S3 registration so the package loads on R before 4.3
- 1mo agodistributionalDistribution arithmetic: FFT convolution behind the + and - operators ⚡
- 2mo agodistributionalVectorised p in quantile() for inflated distributions; open brackets on infinite bounds
- 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 agodistributionalDirichlet and Horseshoe distributions added
- 5mo agospanishoddatatime_slot column removed; test coverage goes live-weekly
- 7mo agodistributionalhas_symmetry() generic, exact HDRs for symmetric distributions
- 1y agospanishoddataDistrict-to-municipal reaggregation corrected for 2020-2021
- 1y agodistributionalMonte Carlo cdf() default method; g-and-k, g-and-h and extreme-value families
Frequently asked questions
What is the difference between distributional and spanishoddata?
Both compete on the same themes — r-package — within Analytics. distributional and spanishoddata 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 distributional better than spanishoddata?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. distributional and spanishoddata 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 distributional?
Top distributional alternatives in Analytics are ranked by recent ship velocity. Browse the "distributional alternatives" section above for the current picks, or visit /alternatives/distributional-r for the full list with editorial commentary on each.
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.