qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
A side-by-side editorial comparison of seriation and symengine — release velocity, themes, recent moves, and the top alternatives to consider.
seriation stopped shipping algorithms and started shipping a way to pick between them.
seriation finds meaningful orderings for matrices, distance objects and dendrograms, and carries a large registry of methods from classic combinatorial criteria to t-SNE and UMAP embeddings. The 1.5.0 release added a layer above that registry — seriate_best(), seriate_rep() and seriate_improve() — which run randomized methods repeatedly, in parallel, and keep the best result. Recent work is definitional and numeric rather than additive: 1.5.8 corrects the linear seriation criterion to match Hubert and Schultz's original 1976 definition.
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.
seriation finds meaningful orderings for matrices, distance objects and dendrograms, and carries a large registry of methods from classic combinatorial criteria to t-SNE and UMAP embeddings. The 1.5.0 release added a layer above that registry — seriate_best(), seriate_rep() and seriate_improve() — which run randomized methods repeatedly, in parallel, and keep the best result. Recent work is definitional and numeric rather than additive: 1.5.8 corrects the linear seriation criterion to match Hubert and Schultz's original 1976 definition.
The package has shifted from breadth to judgment. Through 1.3.x the additions were new methods; from 1.5.0 the registry started carrying metadata about the methods — whether they are randomized, what criterion they optimize — so the package could choose and evaluate on the user's behalf. The 1.5.6 replacement of FORTRAN with C for BEA and ME points the same way, reducing the legacy surface underneath that machinery.
Further criterion audits are the likeliest next move, since 1.5.8 shows a published definition being reconciled against the implementation and the registry now records what each method optimizes. Expect corrections rather than new seriation algorithms.
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 seriation 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 seriation 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. seriation 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. seriation 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 seriation alternatives in Analytics are ranked by recent ship velocity. Browse the "seriation alternatives" section above for the current picks, or visit /alternatives/seriation-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.