bkmrhat
A parallel-chain helper for bkmr that has settled into pure upkeep.
Comparison · Infra & APIs
fdacluster vs microeco
A side-by-side editorial comparison of fdacluster and microeco — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
fdacluster vs microeco: at a glance
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.
What is microeco?
A microbiome analysis framework quietly grew a metabolomics half
microeco is a class-based R framework for microbial community data, organised as trans_* analysis objects layered over a microtable container. The 2.x line added trans_metab for metabolomics in 2.1.0, built pathway calculation, enrichment and network functions onto it in 2.2.0, and reached 2.3.0 with trans_niche and trans_phylo classes plus graphml export from the network module. Release notes are dense bullet lists where a handful of new classes sit among fifteen to twenty parameter fixes.
fdacluster vs microeco: editorial side-by-side
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.
microeco
0.0INFRA · APIS
A microbiome analysis framework quietly grew a metabolomics half
◆ Current state
microeco is a class-based R framework for microbial community data, organised as trans_* analysis objects layered over a microtable container. The 2.x line added trans_metab for metabolomics in 2.1.0, built pathway calculation, enrichment and network functions onto it in 2.2.0, and reached 2.3.0 with trans_niche and trans_phylo classes plus graphml export from the network module. Release notes are dense bullet lists where a handful of new classes sit among fifteen to twenty parameter fixes.
◆ Where it's heading
The package expands by adding analysis classes rather than rewriting existing ones, and the 2.x series widened its scope from microbial community structure to paired omics. trans_metab was the pivot; niche and phylogenetic classes in 2.3.0 extend the original microbiome side in parallel. Alongside that, a long maintenance thread tracks upstream churn - linewidth replacing size for ggplot2 v4.0, igraph namespace changes, lifecycle deprecations - which accounts for most of the bullet volume in any given release.
◆ Prediction
Expect further trans_* classes filling gaps around the metabolomics arm, since every 2.x release so far has introduced at least one new class alongside its fix list.
Alternatives to fdacluster and microeco
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 fdacluster or microeco.
driveR
A cancer driver prioritization package that ships rarely and mostly to stay installable
metR
A meteorology ggplot2 extension where the netCDF reader became the main event
IsoriX
An isotope geolocation package still recovering from the r-spatial retirement
profoc
A forecast combination package that spun its profiler out into its own project
adjustedCurves
A survival curve package spending release after release correcting its own estimates
See all fdacluster alternatives → · See all microeco alternatives →
Recent activity from fdacluster and microeco
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agomicroecoNiche and phylogenetic analysis classes join the framework
- 3mo agomicroecoPathway calculation, enrichment and network functions build out trans_metab
- 4mo agomicroecotrans_metab class brings metabolomics into a microbiome framework ⚡
- 6mo agomicroecoStatistical functions gain direct visualization, plus a volcano plot
- 7mo agofdaclusterInteger overflow fixed for large datasets, C++ finiteness checks corrected
- 9mo agomicroecoggplot2 v4.0 compatibility pass plus network and normalization options
- 1y agomicroecoParameter renames and namespace fixes across the trans_ classes
- 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 fdacluster and microeco?
Both compete on the same themes — r-package — within Infra & APIs. fdacluster and microeco 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 fdacluster better than microeco?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. fdacluster and microeco 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 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.
What are the best alternatives to microeco?
Top microeco alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "microeco alternatives" section above for the current picks, or visit /alternatives/microeco for the full list with editorial commentary on each.