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epidemics vs git2rdata

A side-by-side editorial comparison of epidemics and git2rdata — release velocity, themes, recent moves, and the top alternatives to consider.

epidemics vs git2rdata: at a glance

Featureepidemicsgit2rdata
SectorAnalyticsAnalytics
Velocity score3.80.0
Sparks · 30d10
Top themesepiverse-trace, compartmental-models, odin, breaking-changesversion-control, reproducibility, r-language, data-storage
Last editorial update5h ago40m 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 git2rdata?

git2rdata keeps sharpening one idea: a data frame that produces a readable git diff.

git2rdata stores data frames as plain text plus a metadata sidecar so that version control sees meaningful line-level diffs instead of binary churn. The recent releases have all pushed on the metadata half of that pair: 0.4.1 added `update_metadata()`, 0.5.1 made arbitrary data frame metadata round-trip through storage, and 0.5.2 adds a `convert` argument that records column conversions in the metadata and reverses them on read.

Read the full git2rdata trajectory →

epidemics vs git2rdata: 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.

G
git2rdata
ANALYTICS
0.0

git2rdata keeps sharpening one idea: a data frame that produces a readable git diff.

◆ Current state

git2rdata stores data frames as plain text plus a metadata sidecar so that version control sees meaningful line-level diffs instead of binary churn. The recent releases have all pushed on the metadata half of that pair: 0.4.1 added `update_metadata()`, 0.5.1 made arbitrary data frame metadata round-trip through storage, and 0.5.2 adds a `convert` argument that records column conversions in the metadata and reverses them on read.

◆ Where it's heading

The file format itself settled years ago — the last breaking change was the 0.2.0 hash rework — and development since has been about what travels alongside the data. Storage decisions that used to be implicit are becoming declarative and recorded: significant digits in 0.5.0, arbitrary attributes in 0.5.1, type conversions in 0.5.2. The other steady thread is determinism, from C-locale sorting through `icuSetCollate()`, because unstable ordering is what turns a one-row change into a whole-file diff.

◆ Prediction

The metadata system has absorbed digits, attributes and conversions in three consecutive releases, so the next likely addition is another storage decision moved into metadata rather than any change to the on-disk format.

Alternatives to epidemics and git2rdata

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 git2rdata.

See all epidemics alternatives → · See all git2rdata alternatives →

Recent activity from epidemics and git2rdata

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. 4mo agogit2rdataColumn conversions recorded in metadata and reversed on read
  3. 8mo agogit2rdataData frame metadata now round-trips through storage
  4. 1y agogit2rdataSignificant digits become an explicit storage option
  5. 1y agogit2rdataupdate_metadata() for editing a stored object's description
  6. 2y agoepidemicsPeak timing and scenario comparison helpers; negative-susceptible bug fixed
  7. 2y agoepidemicsEbola model accepts vector inputs and defaults to 100 replicates
  8. 2y agoepidemicsODE models vectorised; every model function renamed
  9. 2y agoepidemicsFirst release: four composable compartmental model structures
  10. 4y agogit2rdataNon-optimised files switch to CSV; verify_vc() added
  11. 4y agogit2rdataStandardised sorting via icuSetCollate()

Frequently asked questions

What is the difference between epidemics and git2rdata?

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 git2rdata?

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 git2rdata?

Top git2rdata alternatives in Analytics are ranked by recent ship velocity. Browse the "git2rdata alternatives" section above for the current picks, or visit /alternatives/git2rdata for the full list with editorial commentary on each.