fillpattern
Pattern fills for ggplot2, hardened against the ways users write sizes
Comparison · Analytics
ecodive vs reliagrowr
A side-by-side editorial comparison of ecodive and reliagrowr — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
ecodive vs reliagrowr: at a glance
What is ecodive?
ecodive rebuilt itself into a broad diversity-metric library, breaking as it went
ecodive computes alpha and beta diversity metrics for ecological and microbiome count data, including phylogenetic measures like Faith's PD and the UniFrac family. The 2.0.0 rewrite expanded it from a handful of metrics to roughly fourteen alpha and thirty beta measures while flipping the expected input orientation to samples-as-rows. Subsequent releases have been spent settling the normalisation interface that expansion exposed.
What is reliagrowr?
A reliability growth package put its models behind an MCP server for AI assistants to call.
ReliaGrowR fits reliability growth models to failure data — Crow-AMSAA and Duane, with maximum likelihood estimation, confidence bounds, prediction, and reliability demonstration test planning. The last year widened it well past growth curves into repairable systems: parametric non-homogeneous Poisson process fitting with automatic change point detection, non-parametric mean cumulative function estimation, and system exposure calculation. The most recent release adds goodness-of-fit statistics and exposes the package's functions as Model Context Protocol tools.
ecodive vs reliagrowr: editorial side-by-side
ecodive
0.0ANALYTICS
ecodive rebuilt itself into a broad diversity-metric library, breaking as it went
◆ Current state
ecodive computes alpha and beta diversity metrics for ecological and microbiome count data, including phylogenetic measures like Faith's PD and the UniFrac family. The 2.0.0 rewrite expanded it from a handful of metrics to roughly fourteen alpha and thirty beta measures while flipping the expected input orientation to samples-as-rows. Subsequent releases have been spent settling the normalisation interface that expansion exposed.
◆ Where it's heading
This is a package that made its breaking changes deliberately and in a cluster. After 2.0.0 reoriented input and removed the weighted parameter, 2.1.0 superseded rescale with norm, and 2.2.6 changed norm's default from percent to none and removed it from some beta functions entirely. That last one matters more than it reads: normalisation defaults silently change the numbers a metric returns, and the direction is toward making the user state their choice rather than inheriting one.
◆ Prediction
With the metric surface broad and the normalisation interface now explicit, expect the next releases to stabilise — documentation and edge-case handling around CLR and rarefaction rather than another interface break.
reliagrowr
0.0ANALYTICS
A reliability growth package put its models behind an MCP server for AI assistants to call.
◆ Current state
ReliaGrowR fits reliability growth models to failure data — Crow-AMSAA and Duane, with maximum likelihood estimation, confidence bounds, prediction, and reliability demonstration test planning. The last year widened it well past growth curves into repairable systems: parametric non-homogeneous Poisson process fitting with automatic change point detection, non-parametric mean cumulative function estimation, and system exposure calculation. The most recent release adds goodness-of-fit statistics and exposes the package's functions as Model Context Protocol tools.
◆ Where it's heading
Two arcs run in parallel. The statistical one is a steady march from plotting a growth curve to modelling recurrent failures properly — segmented NHPP models that detect their own change points, Nelson-Aalen estimation, Cramér-von Mises and Kolmogorov-Smirnov statistics for judging the fits. The interface one is newer and more unusual: the package now ships an MCP server, and its sibling plotting package followed with one two weeks later, so this is a deliberate direction across the maintainer's reliability suite rather than a single experiment. Naming and S3 conventions were cleaned up early, which is what made a uniform tool surface plausible later.
◆ Prediction
Given the sibling packages moved to MCP within weeks of each other, the remaining tools in the suite are the obvious next candidates; on the statistical side, goodness-of-fit having just arrived suggests model comparison and selection helpers are the natural follow-on.
Alternatives to ecodive and reliagrowr
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 ecodive or reliagrowr.
gcube
gcube's recent releases are all packaging metadata, not simulation code
cubist
The R port of Quinlan's Cubist gets reproducibility fixes, not new modelling
ggstats
ggstats keeps widening what a coefficient or Likert plot can be
simStateSpace
State-space data simulation for R, filled in one function at a time
rollama
rollama turns a local-LLM wrapper into an instrument for reproducible annotation
See all ecodive alternatives → · See all reliagrowr alternatives →
Recent activity from ecodive and reliagrowr
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2mo agoreliagrowrReliability growth models exposed as MCP tools ⚡
- 4mo agoreliagrowrRepairable systems analysis arrives: NHPP, MCF, exposure
- 4mo agoreliagrowrMaximum likelihood fitting and failure simulation
- 4mo agoecodiveNormalisation now defaults to none, with CLR zero warnings
- 7mo agoecodiveecodive 2.2.2
- 8mo agoreliagrowrReliaGrowR 0.3.2
- 9mo agoreliagrowrMore plotting and printing options for RGA and Duane models
- 10mo agoecodiverescale superseded by norm; crash fixes after the 2.0.0 rewrite
- 10mo agoecodive2.0.0 expands to ~14 alpha and ~30 beta diversity metrics ⚡
- 10mo agoreliagrowrS3 methods replace the ad hoc plotting functions
Frequently asked questions
What is the difference between ecodive and reliagrowr?
Both compete on the same themes — r-package — within Analytics. ecodive and reliagrowr 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 ecodive better than reliagrowr?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ecodive and reliagrowr 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 Analytics products to evaluate alongside.
What are the best alternatives to ecodive?
Top ecodive alternatives in Analytics are ranked by recent ship velocity. Browse the "ecodive alternatives" section above for the current picks, or visit /alternatives/ecodive for the full list with editorial commentary on each.
What are the best alternatives to reliagrowr?
Top reliagrowr alternatives in Analytics are ranked by recent ship velocity. Browse the "reliagrowr alternatives" section above for the current picks, or visit /alternatives/reliagrowr for the full list with editorial commentary on each.