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The Manhattan-plot package for GWAS results, finished and dormant since 2017.
A side-by-side editorial comparison of dietr and symengine — release velocity, themes, recent moves, and the top alternatives to consider.
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.
An R symbolic-maths binding whose changelog is really the C++ core's release notes.
symengine gives R access to the SymEngine computer algebra core for symbolic expressions, matrices and sets. The tracked feed carries the upstream C++ library's releases rather than R-binding changes, so what shows here is core work: parser fixes, locale-independent double parsing, an SOVERSION bump and matrix transpose corrections. Feature growth in the core has slowed considerably since the 0.9 and 0.10 releases.
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.
symengine gives R access to the SymEngine computer algebra core for symbolic expressions, matrices and sets. The tracked feed carries the upstream C++ library's releases rather than R-binding changes, so what shows here is core work: parser fixes, locale-independent double parsing, an SOVERSION bump and matrix transpose corrections. Feature growth in the core has slowed considerably since the 0.9 and 0.10 releases.
The upstream core has moved from adding capability — serialization, a first simplify(), set types, matrix expressions, LLVM support — toward maintenance: build fixes, dependency support such as Flint3, and correctness patches. For R users the practical consequence is that new symbolic features arrive only as fast as the binding exposes them, which this feed does not report on.
Expect further upstream maintenance releases tracking LLVM and Flint versions; nothing in these notes signals a new capability push.
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 dietr or symengine.
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.
See all dietr alternatives → · See all symengine alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. dietr and symengine 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. dietr and symengine 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 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.
Top symengine alternatives in Analytics are ranked by recent ship velocity. Browse the "symengine alternatives" section above for the current picks, or visit /alternatives/symengine-r for the full list with editorial commentary on each.