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epidemics vs taxizedb

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

epidemics vs taxizedb: at a glance

Featureepidemicstaxizedb
SectorAnalyticsAnalytics
Velocity score3.80.0
Sparks · 30d10
Top themesepiverse-trace, compartmental-models, odin, breaking-changestaxonomy, biodiversity-data, sqlite, ropensci
Last editorial update4h ago1h ago
WebsiteVisit →Visit →

What is epidemics?

epidemics swapped its C++ engine for odin — and quietly inverted how contact matrices must be passed.

epidemics ships composable compartmental model structures — default SEIR-V, Vacamole, diphtheria and Ebola — with classes for populations, interventions and vaccination campaigns. After more than two years without a release, 0.5.0 landed in July 2026 carrying both an engine migration and a breaking input-convention change. Maintainership moved to a new lead back in 0.4.0.

Read the full epidemics trajectory →

What is taxizedb?

Stopped trusting the cloud to prepare its taxonomic databases and does the conversion locally.

taxizedb queries taxonomic databases locally rather than through rate-limited web APIs, which is what makes it usable for millions of name lookups. Version 0.2.0 established the current design: every source stored as SQLite, no credentials or ports needed, plus name-to-ID mapping functions and ports of the core taxize verbs. The most recent release changes how those databases arrive — instead of downloading a preprocessed SQLite file from the cloud, db_download_*() now fetches raw data and converts it locally for every source, because the cloud path kept breaking.

Read the full taxizedb trajectory →

epidemics vs taxizedb: editorial side-by-side

E
epidemics
ANALYTICS
3.8

epidemics swapped its C++ engine for odin — and quietly inverted how contact matrices must be passed.

◆ Current state

epidemics ships composable compartmental model structures — default SEIR-V, Vacamole, diphtheria and Ebola — with classes for populations, interventions and vaccination campaigns. After more than two years without a release, 0.5.0 landed in July 2026 carrying both an engine migration and a breaking input-convention change. Maintainership moved to a new lead back in 0.4.0.

◆ Where it's heading

The package's history is a sequence of deliberate breaking releases: 0.2.0 renamed every model function and vectorised the ODE models, 0.3.0 restructured the Ebola model into two levels and made replicates the default, and 0.5.0 rewrites the compiled core. The direction is toward a smaller, more declarative model definition layer with the numerical work delegated to a dedicated tool.

◆ Prediction

With the default, Vacamole and diphtheria systems now declared in odin, the Ebola model is the obvious remaining candidate for the same treatment.

T
taxizedb
ANALYTICS
0.0

Stopped trusting the cloud to prepare its taxonomic databases and does the conversion locally.

◆ Current state

taxizedb queries taxonomic databases locally rather than through rate-limited web APIs, which is what makes it usable for millions of name lookups. Version 0.2.0 established the current design: every source stored as SQLite, no credentials or ports needed, plus name-to-ID mapping functions and ports of the core taxize verbs. The most recent release changes how those databases arrive — instead of downloading a preprocessed SQLite file from the cloud, db_download_*() now fetches raw data and converts it locally for every source, because the cloud path kept breaking.

◆ Where it's heading

The package is trading convenience for independence. Each release removes another thing that has to be working elsewhere for the package to function: hosted database preparation is gone, and where a provider disappears the package documents it rather than pretending otherwise — db_download_tpl() is now defunct because The Plant List no longer exists, though previously downloaded copies still query fine. Release cadence is slow, with multi-year gaps and a maintainer handover in 2023.

◆ Prediction

Expect further releases to track data sources appearing and disappearing rather than adding features, since that has driven every recent change. Local conversion also shifts cost onto users, so build time and memory for the larger sources are the plausible next thing to need attention.

Alternatives to epidemics and taxizedb

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 epidemics or taxizedb.

See all epidemics alternatives → · See all taxizedb alternatives →

Recent activity from epidemics and taxizedb

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

  1. 25d agoepidemicsODE models migrate to odin; contact matrices must no longer be transposed
  2. 9mo agotaxizedbDatabases now built locally from raw data, not the cloud
  3. 2y agoepidemicsPeak timing and scenario comparison helpers; negative-susceptible bug fixed
  4. 2y agoepidemicsEbola model accepts vector inputs and defaults to 100 replicates
  5. 2y agoepidemicsODE models vectorised; every model function renamed
  6. 2y agoepidemicsFirst release: four composable compartmental model structures
  7. 3y agotaxizedbPatch release for a maintainer change
  8. 5y agotaxizedbtaxa_at() retrieves ancestors at a named rank
  9. 5y agotaxizedbFixes failing tests
  10. 6y agotaxizedbSQLite everywhere, three new sources, taxize verbs ported
  11. 9y agotaxizedbTracks the dplyr split that introduced dbplyr

Frequently asked questions

What is the difference between epidemics and taxizedb?

They serve adjacent needs but don't currently overlap on shipped themes. epidemics is currently shipping more aggressively (velocity 3.8 vs 0.0), with 1 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is epidemics better than taxizedb?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. epidemics is currently shipping more aggressively (velocity 3.8 vs 0.0), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to epidemics?

Top epidemics alternatives in Analytics are ranked by recent ship velocity. Browse the "epidemics alternatives" section above for the current picks, or visit /alternatives/epidemics for the full list with editorial commentary on each.

What are the best alternatives to taxizedb?

Top taxizedb alternatives in Analytics are ranked by recent ship velocity. Browse the "taxizedb alternatives" section above for the current picks, or visit /alternatives/taxizedb for the full list with editorial commentary on each.