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pedprobr vs reproducible

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

pedprobr vs reproducible: at a glance

Featurepedprobrreproducible
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themespedigree analysis, likelihood computation, peeling algorithm, allele lumpingr, caching, geospatial, cloud optimized geotiff
Last editorial update1h ago14m ago
WebsiteVisit →Visit →

What is pedprobr?

pedprobr is the likelihood engine, and it keeps finding ways to compute what it previously could not.

pedprobr computes pedigree likelihoods for the ped suite. Version 1.1.0 updated its loop handling to match pedtools 2.11.0, including founder and repeated loop breakers, and improved the peeling algorithm with single-child shortcuts and lower memory use. Version 1.0.0 was the other expansion: special lumping lets markers with mutation models that are un-lumpable in the Kemeny-Snell sense be lumped anyway in certain cases, with alleleLimit as a fallback for the rest.

Read the full pedprobr 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 →

pedprobr vs reproducible: editorial side-by-side

P
pedprobr
ANALYTICS
0.0

pedprobr is the likelihood engine, and it keeps finding ways to compute what it previously could not.

◆ Current state

pedprobr computes pedigree likelihoods for the ped suite. Version 1.1.0 updated its loop handling to match pedtools 2.11.0, including founder and repeated loop breakers, and improved the peeling algorithm with single-child shortcuts and lower memory use. Version 1.0.0 was the other expansion: special lumping lets markers with mutation models that are un-lumpable in the Kemeny-Snell sense be lumped anyway in certain cases, with alleleLimit as a fallback for the rest.

◆ Where it's heading

Every significant release here removes a class of computation that used to be infeasible, either by making a marker lumpable or by making a loop breakable. The rest is steady peeling-algorithm optimization, which has been reducing memory footprint release after release since 0.9.2. The newly added .diagnostics option suggests the peeling internals are now complex enough that the maintainer needs to inspect them.

◆ Prediction

Since special lumping is documented as covering only some cases so far, expect further lumping situations to be implemented as pedmut adds them.

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 pedprobr 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 pedprobr or reproducible.

See all pedprobr alternatives → · See all reproducible alternatives →

Recent activity from pedprobr and reproducible

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

  1. 1mo agopedprobrLoop handling updated for pedtools' new loop breakers
  2. 3mo agoreproducibleInode comparison fix for large-inode file systems
  3. 3mo agoreproducibleprepInputsCOG fetches only the spatial window from remote GeoTiffs
  4. 1y agopedprobrCRAN example rounding fix
  5. 1y agopedprobrSpecial lumping for previously un-lumpable mutation models
  6. 1y agopedprobrGenotype distributions gain sparse and table output
  7. 2y agopedprobrPeeling order bug fix
  8. 2y agopedprobrPartial genotype fix for singletons

Frequently asked questions

What is the difference between pedprobr and reproducible?

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

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

Top pedprobr alternatives in Analytics are ranked by recent ship velocity. Browse the "pedprobr alternatives" section above for the current picks, or visit /alternatives/pedprobr 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.