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Comparison · Analytics

pedmut vs reproducible

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

pedmut vs reproducible: at a glance

Featurepedmutreproducible
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themespedigree analysis, mutation models, forensic genetics, allele lumpingr, caching, geospatial, cloud optimized geotiff
Last editorial update1h ago24m ago
WebsiteVisit →Visit →

What is pedmut?

pedmut turns awkward mutation models into ones the likelihood engine can actually handle.

pedmut builds and transforms the mutation models used in pedigree likelihood calculations. Its recent arc is a toolkit of model transformations: makeReversible() with three methods, makeStationary() replacing the older stabilize(), adjustRate() for tuning overall mutation rate, and lumpMutSpecial() for lumping models that strong lumpability cannot handle. The most recent release is narrow, adding a programmatic output format to getParams().

Read the full pedmut trajectory →

What is reproducible?

reproducible added a windowed read path so remote GeoTiffs never fully download

reproducible provides caching and input-preparation tooling for R workflows, with prepInputs() as the central entry point for fetching, cropping and post-processing spatial data. Only two releases are on record here, both from May 2026 and two days apart: a feature release followed immediately by a CRAN-triggered patch.

Read the full reproducible trajectory →

pedmut vs reproducible: editorial side-by-side

P
pedmut
ANALYTICS
0.0

pedmut turns awkward mutation models into ones the likelihood engine can actually handle.

◆ Current state

pedmut builds and transforms the mutation models used in pedigree likelihood calculations. Its recent arc is a toolkit of model transformations: makeReversible() with three methods, makeStationary() replacing the older stabilize(), adjustRate() for tuning overall mutation rate, and lumpMutSpecial() for lumping models that strong lumpability cannot handle. The most recent release is narrow, adding a programmatic output format to getParams().

◆ Where it's heading

The consistent goal is making models satisfy the mathematical properties downstream algorithms require. Reversibility, stationarity, and lumpability each unlock something in pedprobr, and the package keeps adding ways to coerce an arbitrary model into having them. lumpMutSpecial() is explicitly incomplete, described as covering only some cases with more possibly to follow, which sets up the main open thread.

◆ Prediction

Expect additional special lumping cases to be implemented, since the package documents the current coverage as partial and pedprobr's likelihood performance depends directly on it.

R
reproducible
ANALYTICS
0.0

reproducible added a windowed read path so remote GeoTiffs never fully download

◆ Current state

reproducible provides caching and input-preparation tooling for R workflows, with prepInputs() as the central entry point for fetching, cropping and post-processing spatial data. Only two releases are on record here, both from May 2026 and two days apart: a feature release followed immediately by a CRAN-triggered patch.

◆ Where it's heading

3.1.0 adds prepInputsCOG, a fast path inside prepInputs for remote tiled GeoTiffs including Cloud Optimized GeoTiffs. When the URL is HTTP(S) and any of to, cropTo or maskTo is supplied, only the spatial window of interest is fetched through GDAL's /vsicurl/, and the resulting windowed SpatRaster continues through the normal post-processing pipeline. The same release renames the inputPaths options to the destinationPathShared family with backwards-compatible aliases and a deprecation message, and lets alsoExtract accept regex patterns.

◆ Prediction

The COG path being opt-out via options(reproducible.useCOG = FALSE) suggests confidence in it as a default, so wider application across the prepInputs family is the plausible next step. Two entries is a thin base for predicting cadence.

Alternatives to pedmut and reproducible

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 pedmut or reproducible.

See all pedmut alternatives → · See all reproducible alternatives →

Recent activity from pedmut and reproducible

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

  1. 2mo agopedmutgetParams() gains a programmatic output format
  2. 3mo agoreproducibleInode comparison fix for large-inode file systems
  3. 3mo agoreproducibleprepInputsCOG fetches only the spatial window from remote GeoTiffs
  4. 1y agopedmutSpecial lumping arrives for un-lumpable models
  5. 1y agopedmutReversibility transformations and rate adjustment
  6. 2y agopedmutMutation rate and boundedness diagnostics
  7. 3y agopedmutPM stabilisation and multi-lump strong lumpability
  8. 3y agopedmutlumpedModel() wrapper and lumping speedups

Frequently asked questions

What is the difference between pedmut and reproducible?

They serve adjacent needs but don't currently overlap on shipped themes. pedmut and reproducible 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 pedmut better than reproducible?

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

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

What are the best alternatives to reproducible?

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