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Comparison · Infra & APIs
ggVennDiagram vs robscale
A side-by-side editorial comparison of ggVennDiagram and robscale — release velocity, themes, recent moves, and the top alternatives to consider.
ggVennDiagram vs robscale: at a glance
What is ggVennDiagram?
A Venn diagram package whose public release notes say almost nothing — including about its copyright cleanup.
ggVennDiagram draws Venn diagrams as ggplot2 objects. The visible release feed is thin and irregular: three entries between 2021 and 2024, two of which contain nothing but a pointer to NEWS. Only the most recent, V1.5, describes actual changes, and both of them are legal housekeeping rather than features.
What is robscale?
A robust-statistics package rewrote its estimators in SIMD C++ and went to CRAN in two weeks.
robscale computes robust scale and location estimators, and its pitch is speed: 21 to 26 times faster than stats::mad, 37 times faster than stats::IQR on small samples, with comparable margins over robustbase for Qn and Sn. The March 2026 releases took it from a GitHub project to a CRAN package carrying eleven estimators, all with confidence intervals.
ggVennDiagram vs robscale: editorial side-by-side
ggVennDiagram
0.0INFRA · APIS
A Venn diagram package whose public release notes say almost nothing — including about its copyright cleanup.
◆ Current state
ggVennDiagram draws Venn diagrams as ggplot2 objects. The visible release feed is thin and irregular: three entries between 2021 and 2024, two of which contain nothing but a pointer to NEWS. Only the most recent, V1.5, describes actual changes, and both of them are legal housekeeping rather than features.
◆ Where it's heading
What can be read here is not a feature direction but a tidying of provenance. V1.5 removed code copied from yulab.utils and made the package comply with the copyright terms of the venn package it draws on, with the yulab.utils maintainer appearing as a first-time contributor to do it. Everything else in the window defers to a changelog kept outside the feed, so the direction of the package itself is not readable from these entries.
◆ Prediction
No reliable prediction is available from this feed — the release notes are pointers rather than descriptions, and the visible entries skip whole version ranges.
robscale
0.0INFRA · APIS
A robust-statistics package rewrote its estimators in SIMD C++ and went to CRAN in two weeks.
◆ Current state
robscale computes robust scale and location estimators, and its pitch is speed: 21 to 26 times faster than stats::mad, 37 times faster than stats::IQR on small samples, with comparable margins over robustbase for Qn and Sn. The March 2026 releases took it from a GitHub project to a CRAN package carrying eleven estimators, all with confidence intervals.
◆ Where it's heading
Three releases in a fortnight walk a clear line: expand the public API, submit to CRAN, then tune. The 0.5.4 work is where that tuning shows, and it is unusually specific about hardware, raising sorting-network thresholds after benchmarking and dropping the AVX-512 path entirely in favour of a shorter AVX2-first dispatch chain. The build-fix lists are long, which is what a package fighting compiler and TBB variation across CRAN's platforms looks like.
◆ Prediction
The dispatch hierarchy has been simplified once already; further releases most likely continue narrowing the SIMD surface and hardening the configure step rather than adding estimators. A new estimator would be the surprise.
Alternatives to ggVennDiagram and robscale
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 ggVennDiagram or robscale.
NGINX
nginx returns to feature work with PROXY v2 upstream writes, and quietly adds JSON to core.
ESPHome
ESPHome closes the 2026.8 cycle, but the release body is a bare link to the real notes.
vcfR
A genomics workhorse whose visible release feed stops dead in mid-2020.
dialr
The R phone-number package stopped only parsing numbers and started asking them where they are.
ordinalsimr
A Shiny app for choosing the right ordinal test reached CRAN in a single 90-minute burst of tags.
See all ggVennDiagram alternatives → · See all robscale alternatives →
Recent activity from ggVennDiagram and robscale
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 4mo agorobscaleSIMD median networks land; AVX-512 dispatch is dropped
- 4mo agorobscaleCRAN submission ships 11 robust estimators with bootstrap intervals ⚡
- 5mo agorobscalescale_robust() dispatcher and four new estimators join the public API
- 2y agoggVennDiagramCopied code removed and venn copyright terms satisfied
- 2y agoggVennDiagramCRAN release 1.4.9
- 5y agoggVennDiagramCRAN release v1.1.4
Frequently asked questions
What is the difference between ggVennDiagram and robscale?
They serve adjacent needs but don't currently overlap on shipped themes. ggVennDiagram and robscale 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 ggVennDiagram better than robscale?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggVennDiagram and robscale 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 Infra & APIs products to evaluate alongside.
What are the best alternatives to ggVennDiagram?
Top ggVennDiagram alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "ggVennDiagram alternatives" section above for the current picks, or visit /alternatives/ggvenndiagram for the full list with editorial commentary on each.
What are the best alternatives to robscale?
Top robscale alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "robscale alternatives" section above for the current picks, or visit /alternatives/robscale for the full list with editorial commentary on each.