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mutagen vs seriation

A side-by-side editorial comparison of mutagen and seriation — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

mutagen vs seriation: at a glance

Featuremutagenseriation
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesdata-manipulation, tidyverse, stata-port, r-packageseriation, matrix-reordering, optimization, clustering
Last editorial update1h ago49m ago
WebsiteVisit →Visit →

What is mutagen?

A young package porting Stata's egen row-wise helpers to the tidyverse, one function per release

mutagen provides row-wise column-generation helpers for R data frames in the spirit of Stata's egen — gen_rowmean(), gen_rowsum(), gen_rowsd(), gen_rownonmiss() and about a dozen siblings. It reached 0.5.0 within three months of its first release, adding two or three functions each time. The most recent release adds gen_coldiff() and renames two functions to fit the naming scheme.

Read the full mutagen trajectory →

What is seriation?

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.

Read the full seriation trajectory →

mutagen vs seriation: editorial side-by-side

M
mutagen
ANALYTICS
0.0

A young package porting Stata's egen row-wise helpers to the tidyverse, one function per release

◆ Current state

mutagen provides row-wise column-generation helpers for R data frames in the spirit of Stata's egen — gen_rowmean(), gen_rowsum(), gen_rowsd(), gen_rownonmiss() and about a dozen siblings. It reached 0.5.0 within three months of its first release, adding two or three functions each time. The most recent release adds gen_coldiff() and renames two functions to fit the naming scheme.

◆ Where it's heading

The package is filling out a known surface rather than discovering one: the reference implementation exists in Stata, so development is a matter of working through the list. Alongside that, the naming convention is still settling — gen_rowmatch became gen_rowany, gen_percent became gen_colpercent, gen_na_listcol became gen_listcol_na — which is normal for a pre-1.0 package but means callers should expect further renames. Contributions are arriving from several first-time contributors.

◆ Prediction

The gen_col* prefix has only two members against a dozen gen_row* functions, so column-wise coverage is the obvious gap; expect it to fill before the naming stabilises for a 1.0.

S
seriation
ANALYTICS
0.0

seriation stopped shipping algorithms and started shipping a way to pick between them.

◆ Current state

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.

◆ Where it's heading

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.

◆ Prediction

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.

Alternatives to mutagen and seriation

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 mutagen or seriation.

See all mutagen alternatives → · See all seriation alternatives →

Recent activity from mutagen and seriation

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 8mo agomutagengen_coldiff() added; two functions renamed for consistency
  2. 9mo agomutagengen_rowsum() and gen_rowsd() added
  3. 9mo agomutagengen_rownonmiss() and gen_rowall() added
  4. 9mo agomutagenRow mean, median and missingness helpers; gen_rowmatch renamed
  5. 11mo agomutagenFirst release with the row-wise gen_* family
  6. 0y agoseriationseriation 1.5.8 realigns linear criterion with Hubert and Schultz
  7. 1y agoseriationseriation 1.5.7 adds BK_unconstrained, handles tiny inputs
  8. 1y agoseriationseriation 1.5.6 replaces FORTRAN BEA with C, modernizes allocation
  9. 2y agoseriationseriation 1.5.5 digest: AOE method, rep parameter, MDS_angle fix
  10. 3y agoseriationseriation 1.5.1 refines pimage, permute and hmap
  11. 3y agoseriationseriation 1.5.0 adds seriate_best and parallel repeated search

Frequently asked questions

What is the difference between mutagen and seriation?

Both compete on the same themes — r-package — within Analytics. mutagen and seriation 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 mutagen better than seriation?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. mutagen and seriation 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 mutagen?

Top mutagen alternatives in Analytics are ranked by recent ship velocity. Browse the "mutagen alternatives" section above for the current picks, or visit /alternatives/mutagen-r for the full list with editorial commentary on each.

What are the best alternatives to seriation?

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.