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The Manhattan-plot package for GWAS results, finished and dormant since 2017.
A side-by-side editorial comparison of ArchR and dietr — release velocity, themes, recent moves, and the top alternatives to consider.
ArchR returns after three years, mostly to catch up with the ecosystem around it.
ArchR analyses single-cell chromatin accessibility data, and until early 2025 its last release was from 2022. Release 1.0.3 collects roughly three years of accumulated pull requests: ggplot2 3.5 compatibility, Seurat v5 object creation, large-matrix handling via ARMA_64BIT_WORD, trajectory and module-score work, and a published Docker image. The release candidate before it did nothing but lift a 500 MB import ceiling.
A fish diet package whose release history is really a record of surviving rfishbase.
dietr computes diet and trophic indices for fish from FishBase-style data, including electivity measures and composite indices. Its recent releases exist because upstream rfishbase changes repeatedly broke it — the latest pair restore functionality after a break severe enough to get the package removed from CRAN, while adding GII, MFI and Windell significance to the composite indices. The 1.1.6-1 patch restates the same notes as 1.1.6.
ArchR analyses single-cell chromatin accessibility data, and until early 2025 its last release was from 2022. Release 1.0.3 collects roughly three years of accumulated pull requests: ggplot2 3.5 compatibility, Seurat v5 object creation, large-matrix handling via ARMA_64BIT_WORD, trajectory and module-score work, and a published Docker image. The release candidate before it did nothing but lift a 500 MB import ceiling.
This is a maintenance restart rather than a new direction. The contributor list shifts visibly from the original authors toward newer maintainers handling compatibility work, and the Docker image suggests an acknowledgement that reproducing the environment had become the harder problem. Whether the cadence recovers is not something these entries answer.
The entries do not support a confident call on future direction; the immediate question is whether releases resume at a normal interval or 1.0.3 was a one-off catch-up.
dietr computes diet and trophic indices for fish from FishBase-style data, including electivity measures and composite indices. Its recent releases exist because upstream rfishbase changes repeatedly broke it — the latest pair restore functionality after a break severe enough to get the package removed from CRAN, while adding GII, MFI and Windell significance to the composite indices. The 1.1.6-1 patch restates the same notes as 1.1.6.
Almost every release in this window names an upstream dependency as its cause: rfishbase updates in four of them, duckdb in another. The genuine methodological additions arrive bundled inside those repair releases rather than on their own. That is a fragile position for a package whose core value is convenient access to a remote database.
The next release most likely follows the next rfishbase change; new indices will probably continue to ride along with compatibility repairs.
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 ArchR or dietr.
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
The R package for CODATA constants rebuilt its symbol table on NIST's naming so future updates stop being hand work.
The R client for AusTraits spends its releases chasing the dataset it reads.
A ggplot2 layer for seasonal adjustment output, filling in one plot type at a time.
A fossil-record simulator that quietly grew a trait-evolution engine.
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. ArchR and dietr 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ArchR and dietr 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.
Top ArchR alternatives in Analytics are ranked by recent ship velocity. Browse the "ArchR alternatives" section above for the current picks, or visit /alternatives/archr-r for the full list with editorial commentary on each.
Top dietr alternatives in Analytics are ranked by recent ship velocity. Browse the "dietr alternatives" section above for the current picks, or visit /alternatives/dietr-r for the full list with editorial commentary on each.