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gwasvcf vs parallelDist

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

gwasvcf vs parallelDist: at a glance

FeaturegwasvcfparallelDist
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr, genomics, gwas, bioinformaticsdistance-matrix, parallel-computing, rcpp, maintenance-mode
Last editorial update2h ago50m ago
WebsiteVisit →Visit →

What is gwasvcf?

gwasvcf has stopped adding features and now just keeps proxy matching from failing.

gwasvcf reads and queries GWAS summary statistics stored as VCF, with LD proxy lookup as its most-used entry point. Every release in the visible window is a fix, and all but one land in or around proxy_match(). The last functional addition was gwasvcf_to_summaryset() in 0.1.2, which hands data to gwasglue2 rather than doing new work here.

Read the full gwasvcf trajectory →

What is parallelDist?

parallelDist is in pure preservation mode — one build fix every few years.

parallelDist computes distance matrices across threads in C++ via RcppParallel and Armadillo. The feature set has been settled since 0.2.3 in 2018, which added hamming distance and cosine similarity; everything after that is compatibility work. The most recent release, 0.2.7, exists only to drop a C++11 pin that newer Armadillo versions no longer tolerate.

Read the full parallelDist trajectory →

gwasvcf vs parallelDist: editorial side-by-side

G
gwasvcf
ANALYTICS
0.0

gwasvcf has stopped adding features and now just keeps proxy matching from failing.

◆ Current state

gwasvcf reads and queries GWAS summary statistics stored as VCF, with LD proxy lookup as its most-used entry point. Every release in the visible window is a fix, and all but one land in or around proxy_match(). The last functional addition was gwasvcf_to_summaryset() in 0.1.2, which hands data to gwasglue2 rather than doing new work here.

◆ Where it's heading

The package is in custodial maintenance inside the MRC IEU OpenGWAS stack, and its releases are reactive: each one answers a specific user-reported failure, credited to the reporter. The 0.1.6 pattern is telling — rather than replace the proxy VCF construction, it keeps the original path and adds a fallback only for inputs that fail, so existing results are left bit-for-bit unchanged.

◆ Prediction

Expect further narrow robustness fixes to proxy_match() driven by user-reported VCF shapes; nothing in the entries suggests new analysis capability is being built here rather than in gwasglue2.

P
parallelDist
ANALYTICS
0.0

parallelDist is in pure preservation mode — one build fix every few years.

◆ Current state

parallelDist computes distance matrices across threads in C++ via RcppParallel and Armadillo. The feature set has been settled since 0.2.3 in 2018, which added hamming distance and cosine similarity; everything after that is compatibility work. The most recent release, 0.2.7, exists only to drop a C++11 pin that newer Armadillo versions no longer tolerate.

◆ Where it's heading

The package is being kept installable, not developed. The three most recent releases are a toolchain pin removal, a DESCRIPTION field removal, and a coercion change inherited from proxy — none originate from user-facing intent. Gaps of three to four years between releases are the norm now, and each one is triggered by something upstream breaking rather than by a roadmap.

◆ Prediction

The next release will almost certainly be another compatibility fix timed to whatever Armadillo, Rcpp or CRAN check policy changes next. Nothing in the entries points to new distance measures or API work.

Alternatives to gwasvcf and parallelDist

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 gwasvcf or parallelDist.

See all gwasvcf alternatives → · See all parallelDist alternatives →

Recent activity from gwasvcf and parallelDist

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

  1. 5mo agogwasvcfproxy_match() gains a fallback VCF construction path
  2. 8mo agogwasvcfproxy_match() handles multi-sample VCFs
  3. 10mo agoparallelDistparallelDist 0.2.7 drops the C++11 pin for newer Armadillo
  4. 1y agogwasvcfsqlite3 declared in SystemRequirements
  5. 1y agogwasvcfMessage fix in get_ld_proxies()
  6. 2y agogwasvcfgwasvcf_to_summaryset() bridges to gwasglue2
  7. 4y agoparallelDistparallelDist 0.2.6: LazyData removed, vignette font swapped
  8. 4y agoparallelDistparallelDist 0.2.5 changes cosine distance to 1-x
  9. 7y agoparallelDistparallelDist 0.2.4 fixes the Solaris build
  10. 7y agoparallelDistparallelDist 0.2.3 adds hamming and cosine measures
  11. 7y agoparallelDistparallelDist 0.2.2

Frequently asked questions

What is the difference between gwasvcf and parallelDist?

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

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

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

What are the best alternatives to parallelDist?

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