HydroPortailStats
France's national flood statistics, ported out of Fortran and into R.
Comparison · Infra & APIs
daedalus vs fdacluster
A side-by-side editorial comparison of daedalus and fdacluster — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:rcpp
daedalus vs fdacluster: at a glance
What is daedalus?
An epidemic-economic model teaching its interventions to react to the outbreak itself.
daedalus couples an infectious-disease model to sector-level economic costs, letting users test non-pharmaceutical interventions against both epidemic and fiscal outcomes. Over autumn 2025 the intervention layer went from a single fixed closure to sequential timed NPIs and then to closures that lift in response to the model's own instantaneous reproduction number. Alongside that, the cost functions were reworked so illness states map more carefully onto lost productivity.
What is fdacluster?
Functional data clustering grew from one algorithm into a comparable suite
fdacluster clusters functional data while separating amplitude from phase variation, aligning curves as part of the clustering rather than before it. The algorithm set covers k-means, hierarchical clustering and DBSCAN, all producing a common caps result object so runs can be compared directly. Version 0.4.0 tightened the interface with is_domain_interval and transformation arguments describing the input data, added compatibility checking between incompatible option combinations, and split the L2 and normalized L2 distances into separate C++ classes to enforce that plain L2 cannot be combined with dilation or affine warping it is not invariant to.
daedalus vs fdacluster: editorial side-by-side
daedalus
0.0INFRA · APIS
An epidemic-economic model teaching its interventions to react to the outbreak itself.
◆ Current state
daedalus couples an infectious-disease model to sector-level economic costs, letting users test non-pharmaceutical interventions against both epidemic and fiscal outcomes. Over autumn 2025 the intervention layer went from a single fixed closure to sequential timed NPIs and then to closures that lift in response to the model's own instantaneous reproduction number. Alongside that, the cost functions were reworked so illness states map more carefully onto lost productivity.
◆ Where it's heading
The arc is toward a model that behaves like a policy simulator rather than a scenario calculator: interventions now have their own state machine, R_t is computed inside the ODE system, and event handling has been pulled out of the output object. Correction releases sit between the feature ones, including an indexing fix the maintainers flag as required for accurate projections. The versioning is patch-level but the changes are structural.
◆ Prediction
With R_t and the next-generation matrix now available in-model, the likely next step is richer response rules keyed to those quantities; the entries give no signal on when a stable 1.0 arrives.
fdacluster
0.0INFRA · APIS
Functional data clustering grew from one algorithm into a comparable suite
◆ Current state
fdacluster clusters functional data while separating amplitude from phase variation, aligning curves as part of the clustering rather than before it. The algorithm set covers k-means, hierarchical clustering and DBSCAN, all producing a common caps result object so runs can be compared directly. Version 0.4.0 tightened the interface with is_domain_interval and transformation arguments describing the input data, added compatibility checking between incompatible option combinations, and split the L2 and normalized L2 distances into separate C++ classes to enforce that plain L2 cannot be combined with dilation or affine warping it is not invariant to.
◆ Where it's heading
The trajectory runs from method implementation toward guardrails and portability. Early releases added capability; recent ones prevent misuse and reduce weight - dplyr, forcats, tidyr and purrr removed in 0.4.0, furrr swapped for future.apply - while 0.4.2 is entirely C++ correctness, replacing Armadillo's whole-object finiteness check with scalar std::isfinite and fixing an integer overflow in linear index computation that broke large datasets. Cadence is roughly one release a year.
◆ Prediction
Given that the last two releases were dependency reduction and numerical correctness rather than method work, expect the next to continue in that vein unless a new clustering algorithm is contributed.
Alternatives to daedalus and fdacluster
Other Infra & APIs 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 daedalus or fdacluster.
bsvarSIGNs
Sign, zero and narrative restrictions brought into the bsvars ecosystem.
estimatr
Fast design-based estimators for experiments, coasting on CRAN patches.
ggdist
The grammar of uncertainty visualization, now drawing the uncertainty in its own estimates.
ipaddress
IP address vectors for R that hit 1.0 and then went quiet.
ltertools
A column-key toolkit for stitching decades of ecological field data into one table.
See all daedalus alternatives → · See all fdacluster alternatives →
Recent activity from daedalus and fdacluster
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 7mo agofdaclusterInteger overflow fixed for large datasets, C++ finiteness checks corrected
- 9mo agodaedalusVersion bump for a symposium preview build
- 9mo agodaedalusInterventions now lift in response to live R_t ⚡
- 10mo agodaedalusWithin-sector contact scaling corrected to quadratic
- 10mo agodaedalusIllness-driven absence reworked in the cost model
- 10mo agodaedalusMultiple sequential time-limited closures
- 11mo agodaedalusState array indexing corrections; earlier projections unreliable
- 1y agofdaclusterParallel worker setup and an acronym correction
- 1y agofdaclusterInput description arguments and enforced distance-warping compatibility
- 3y agofdaclusterMedian centroids and centroids defined on unioned grids
- 3y agofdaclusterNamespace notation and optional dependency guards
- 3y agofdaclusterHierarchical clustering, DBSCAN and a shared result class arrive together ⚡
Frequently asked questions
What is the difference between daedalus and fdacluster?
Both compete on the same themes — rcpp — within Infra & APIs. daedalus and fdacluster 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 daedalus better than fdacluster?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. daedalus and fdacluster 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 Infra & APIs products to evaluate alongside.
What are the best alternatives to daedalus?
Top daedalus alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "daedalus alternatives" section above for the current picks, or visit /alternatives/daedalus for the full list with editorial commentary on each.
What are the best alternatives to fdacluster?
Top fdacluster alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "fdacluster alternatives" section above for the current picks, or visit /alternatives/fdacluster for the full list with editorial commentary on each.