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Comparison · Infra & APIs

pathfindR vs sps

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

Shared themes:r-package

pathfindR vs sps: at a glance

FeaturepathfindRsps
SectorInfra & APIsInfra & APIs
Velocity score0.02.5
Sparks · 30d00
Top themesbioinformatics, pathway-enrichment, rcpp, dependency-reductionr-package, survey-sampling, sequential-poisson, performance
Last editorial update29m ago2h ago
WebsiteVisit →Visit →

What is pathfindR?

pathfindR dropped Java from its subnetwork search and rebuilt it in C++

pathfindR runs active-subnetwork-oriented pathway enrichment on gene expression results. Version 3.0.0 re-implemented the greedy, simulated-annealing and genetic search algorithms in R and C++ through Rcpp, removing the Java dependency the package had carried since its early releases, and renamed three exported functions in the process. The two patches since have been consolidation: 3.0.1 fixed signed integer overflow in the new C++ hash function flagged by gcc-UBSAN and clang-UBSAN on CRAN, and 3.0.2 repaired tests after a companion data package changed a dataset structure.

Read the full pathfindR trajectory →

What is sps?

sps keeps sanding down sequential Poisson sampling rather than adding to it.

The package implements sequential Poisson sampling for survey design, covering inclusion probabilities, proportional allocation, replicate weights, and take-all strata. Recent releases are small and tightly scoped: a divisor method helper, an iterator that draws a sample one unit at a time, automatic selection of the replicate-weight parameter, and repeated performance work on inclusion probability calculation.

Read the full sps trajectory →

pathfindR vs sps: editorial side-by-side

P
pathfindR
INFRA · APIS
0.0

pathfindR dropped Java from its subnetwork search and rebuilt it in C++

◆ Current state

pathfindR runs active-subnetwork-oriented pathway enrichment on gene expression results. Version 3.0.0 re-implemented the greedy, simulated-annealing and genetic search algorithms in R and C++ through Rcpp, removing the Java dependency the package had carried since its early releases, and renamed three exported functions in the process. The two patches since have been consolidation: 3.0.1 fixed signed integer overflow in the new C++ hash function flagged by gcc-UBSAN and clang-UBSAN on CRAN, and 3.0.2 repaired tests after a companion data package changed a dataset structure.

◆ Where it's heading

The dependency surface has been shrinking for two years and Java was the last heavy one. 2.4.0 removed magick, KEGGgraph and KEGGREST by moving KEGG visualization onto ggkegg; 2.7.0 pushed org.Hs.eg.db from Imports to Suggests under CRAN policy, with functions degrading to defaults when it is absent; 3.0.0 finished the job on the search engine itself. The corresponding cost is now visible in 3.0.1: owning the algorithms in C++ means owning their undefined-behaviour reports too.

◆ Prediction

Expect the near-term releases to keep hardening the Rcpp search code against sanitizer findings and to verify GA parity with the legacy JAR, since 3.0.0 claimed numerically identical results only for the greedy and simulated-annealing methods.

S
sps
INFRA · APIS
2.5

sps keeps sanding down sequential Poisson sampling rather than adding to it.

◆ Current state

The package implements sequential Poisson sampling for survey design, covering inclusion probabilities, proportional allocation, replicate weights, and take-all strata. Recent releases are small and tightly scoped: a divisor method helper, an iterator that draws a sample one unit at a time, automatic selection of the replicate-weight parameter, and repeated performance work on inclusion probability calculation.

◆ Where it's heading

Development is consolidation rather than expansion. Most releases either speed up an existing routine or remove a decision the user previously had to make by hand, such as picking the smallest parameter that keeps replicate weights non-negative. Documentation and tooling get comparable attention to the algorithms, with a dedicated vignette on inclusion probabilities and a recent switch of test and documentation infrastructure. The API surface has been essentially stable across the window.

◆ Prediction

Expect continued small ergonomic and performance releases against the existing function set rather than new sampling designs, which is the pattern every release in this window follows.

Alternatives to pathfindR and sps

Other Infra & APIs 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 pathfindR or sps.

See all pathfindR alternatives → · See all sps alternatives →

Recent activity from pathfindR and sps

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

  1. 1mo agospsDocumentation polish; switches to tinytest and litedown
  2. 1mo agopathfindRTest fixes after a companion data package changed a dataset
  3. 1mo agopathfindRUndefined-behaviour fixes harden the new C++ search engine
  4. 1mo agopathfindRActive subnetwork search re-implemented in C++, Java dependency removed
  5. 7mo agopathfindRHuman annotation database moves from Imports to Suggests
  6. 7mo agopathfindRGraceful handling for gene-set URL failures
  7. 9mo agospsFixes extra argument handling in sps_iterator()
  8. 11mo agospsAdds divisor_method() and a one-unit-at-a-time sampling iterator
  9. 1y agopathfindRKappa matrix fix for the igraph update
  10. 1y agospsAdds an inclusion-probability vignette and faster partial sorting
  11. 1y agospsAutomatic tau selection for replicate weights
  12. 2y agospsAdds becomes_ta() for take-all stratum sample sizes

Frequently asked questions

What is the difference between pathfindR and sps?

Both compete on the same themes — r-package — within Infra & APIs. sps is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is pathfindR better than sps?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. sps is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.

What are the best alternatives to pathfindR?

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

What are the best alternatives to sps?

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