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France's national flood statistics, ported out of Fortran and into R.
Comparison · Infra & APIs
ggdist vs microeco
A side-by-side editorial comparison of ggdist and microeco — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
ggdist vs microeco: at a glance
What is ggdist?
The grammar of uncertainty visualization, now drawing the uncertainty in its own estimates.
ggdist supplies ggplot2 with a compositional vocabulary for distributions — slabs, intervals, dotplots and the sub-geometries that combine them. The last three years moved it from a drawing library to an estimation library: bounded density estimation with Sheather-Jones bandwidth became the default, weights propagate through every density, interval and point summary, and blurred dotplots render Monte Carlo standard error as visual fuzz. The 2025 release rounds this out with per-geometry thickness subscales and settable global defaults.
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.
ggdist vs microeco: editorial side-by-side
ggdist
0.0INFRA · APIS
The grammar of uncertainty visualization, now drawing the uncertainty in its own estimates.
◆ Current state
ggdist supplies ggplot2 with a compositional vocabulary for distributions — slabs, intervals, dotplots and the sub-geometries that combine them. The last three years moved it from a drawing library to an estimation library: bounded density estimation with Sheather-Jones bandwidth became the default, weights propagate through every density, interval and point summary, and blurred dotplots render Monte Carlo standard error as visual fuzz. The 2025 release rounds this out with per-geometry thickness subscales and settable global defaults.
◆ Where it's heading
Two threads run in parallel and keep converging. One is statistical: pluggable density estimators arrived first, then became the default, then gained weights and quantile histograms. The other is compositional: sub-geometries acquired their own guides, then their own scales, so a slab's thickness axis is now a first-class annotated dimension. Cadence has stretched from twice-yearly to roughly annual, with the recent work tightening existing surface rather than opening new.
◆ Prediction
Subguides gained subscales a release later, so the remaining asymmetry is in the sub-geometry system rather than the statistics; expect the next release to continue that fill-in work.
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 ggdist 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 ggdist or microeco.
bsvarSIGNs
Sign, zero and narrative restrictions brought into the bsvars ecosystem.
estimatr
Fast design-based estimators for experiments, coasting on CRAN patches.
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.
finnts
Microsoft's automated forecasting framework, still mostly a one-maintainer effort.
See all ggdist alternatives → · See all microeco alternatives →
Recent activity from ggdist 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
- 9mo agomicroecoggplot2 v4.0 compatibility pass plus network and normalization options
- 1y agomicroecoParameter renames and namespace fixes across the trans_ classes
- 1y agoggdistPer-geometry thickness subscales and settable defaults
- 2y agoggdistBlurred dotplots draw Monte Carlo error; weights reach every estimator ⚡
- 2y agoggdistC++ dotplot binning and safer bandwidth fallbacks
- 3y agoggdistBounded density becomes the default; existing charts change ⚡
- 3y agoggdistCategorical distributions, hex layouts, pluggable density estimators
- 4y agoggdistComputed variables shared across sub-geometries
Frequently asked questions
What is the difference between ggdist and microeco?
Both compete on the same themes — r-package — within Infra & APIs. ggdist 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 ggdist better than microeco?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggdist 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 ggdist?
Top ggdist alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "ggdist alternatives" section above for the current picks, or visit /alternatives/ggdist 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.