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SimInf vs spanishoddata

A side-by-side editorial comparison of SimInf and spanishoddata — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

SimInf vs spanishoddata: at a glance

FeatureSimInfspanishoddata
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesepidemiology, stochastic-simulation, bayesian-inference, r-packagemobility-data, origin-destination, duckdb, open-data
Last editorial update53m ago4h ago
WebsiteVisit →Visit →

What is SimInf?

SimInf 10.0 turns an epidemic simulator into a tool that fits models to real time series

SimInf simulates stochastic disease spread over networks of nodes, with a model parser that compiles user-specified transitions to C. Version 10.0.0 was a deliberate major break: the SimInf_pfilter S4 class and the bootstrap filtering interface were redesigned, a replicates slot was added to SimInf_model, a multi-particle variant of the split-step solver arrived, and the package gained Particle Markov Chain Monte Carlo fitting against observed time series. The follow-up 10.1.0 is a single zero-length memcpy fix found by CRAN's M1 checks.

Read the full SimInf trajectory →

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.

Read the full spanishoddata trajectory →

SimInf vs spanishoddata: editorial side-by-side

S
SimInf
ANALYTICS
0.0

SimInf 10.0 turns an epidemic simulator into a tool that fits models to real time series

◆ Current state

SimInf simulates stochastic disease spread over networks of nodes, with a model parser that compiles user-specified transitions to C. Version 10.0.0 was a deliberate major break: the SimInf_pfilter S4 class and the bootstrap filtering interface were redesigned, a replicates slot was added to SimInf_model, a multi-particle variant of the split-step solver arrived, and the package gained Particle Markov Chain Monte Carlo fitting against observed time series. The follow-up 10.1.0 is a single zero-length memcpy fix found by CRAN's M1 checks.

◆ Where it's heading

The package has been moving from simulation toward inference for several releases. The 9.x line built the input side — utilities for cleaning raw individual event data, variables and enumeration constants in the model parser — and 10.0.0 closed the loop by making the simulator fittable to data through PMCMC. The version number was incremented precisely because that required breaking the particle filter interface.

◆ Prediction

Fitting machinery this new usually needs a second pass on usability, so the next releases most likely focus on diagnostics and documentation around PMCMC rather than on the simulation core, which has been stable across the whole 9.x and 10.x history.

S
spanishoddata
ANALYTICS
0.0

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 SimInf 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 SimInf or spanishoddata.

See all SimInf alternatives → · See all spanishoddata alternatives →

Recent activity from SimInf and spanishoddata

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 2mo agospanishoddataRedirected district files identified in v1 metadata
  2. 2mo agospanishoddataS3 metadata truncation at March 2021 bypassed via XML feed
  3. 4mo agospanishoddataLiteral NA strings no longer break DuckDB casting
  4. 4mo agospanishoddataLarge urban area zones can be reloaded again
  5. 5mo agospanishoddatatime_slot column removed; test coverage goes live-weekly
  6. 9mo agoSimInfAvoid memcpy on zero-length continuous state vector
  7. 9mo agoSimInfPMCMC fitting arrives; particle filter interface redesigned
  8. 1y agospanishoddataDistrict-to-municipal reaggregation corrected for 2020-2021
  9. 2y agoSimInfDocumentation link anchors; parser dependency fix
  10. 2y agoSimInfModel parser gains variables and enumeration constants
  11. 2y agoSimInfindividual_events() added for raw event data cleaning
  12. 3y agoSimInfConfigure script uses R to locate the compiler

Frequently asked questions

What is the difference between SimInf and spanishoddata?

Both compete on the same themes — r-package — within Analytics. SimInf 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 SimInf better than spanishoddata?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. SimInf 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 SimInf?

Top SimInf alternatives in Analytics are ranked by recent ship velocity. Browse the "SimInf alternatives" section above for the current picks, or visit /alternatives/siminf-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.