qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
A side-by-side editorial comparison of OpenCTI and quantities — release velocity, themes, recent moves, and the top alternatives to consider.
OpenCTI is rebuilding its connector layer into a marketplace and wiring the platform to XTM Hub
The mainline is working through the consequences of the connector catalog redesign, with each release closing gaps around it: filters and saved searches became shareable, dashboards can reuse them, and background tasks can now edit relationship start and stop times in bulk. Alongside that, an LTS branch is being maintained in parallel — 7.260309.0-lts.7 backports the security fixes and dependency updates from the recent mainline releases without any of the feature work.
The glue package that makes R carry units and uncertainty through the same calculation.
quantities combines the units and errors packages into one class so values keep both their measurement units and their uncertainty through arithmetic, subsetting and data frame operations. Recent releases have been narrow: fixes to the covariance and correlation implementations, and performance work on the data.frame methods. Most of the release traffic is coordination with its two parent packages.
The mainline is working through the consequences of the connector catalog redesign, with each release closing gaps around it: filters and saved searches became shareable, dashboards can reuse them, and background tasks can now edit relationship start and stop times in bulk. Alongside that, an LTS branch is being maintained in parallel — 7.260309.0-lts.7 backports the security fixes and dependency updates from the recent mainline releases without any of the feature work.
Two things are running at once. The product arc is about making the platform's own surfaces composable — a faceted connector marketplace, reusable filters, workflow approval and draft metadata — rather than adding threat-intel primitives. The engineering arc is a maintained LTS channel that gets security parity and nothing else, which is how a project behaves once it has deployments it cannot ask to track weekly releases.
Expect the mainline to keep landing XTM Hub integration and workflow-governance work at roughly a weekly cadence, with a matching lts.8 backport following whenever the next batch of security fixes accumulates.
quantities combines the units and errors packages into one class so values keep both their measurement units and their uncertainty through arithmetic, subsetting and data frame operations. Recent releases have been narrow: fixes to the covariance and correlation implementations, and performance work on the data.frame methods. Most of the release traffic is coordination with its two parent packages.
The design settled with 0.2.0, which made uncertainty unit-aware and added correlation and covariance support for quantities objects. Since then the package behaves like the integration layer it is — releasing when units, errors, dplyr or ggplot2 shift underneath it rather than on its own schedule. Several releases consist only of test repairs against upstream changes.
Expect the next release to follow a units or errors change rather than introduce new behaviour of its own.
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 OpenCTI or quantities.
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
The R package for CODATA constants rebuilt its symbol table on NIST's naming so future updates stop being hand work.
The R client for AusTraits spends its releases chasing the dataset it reads.
A ggplot2 layer for seasonal adjustment output, filling in one plot type at a time.
A fossil-record simulator that quietly grew a trait-evolution engine.
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
See all OpenCTI alternatives → · See all quantities alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. OpenCTI is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. OpenCTI is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
Top OpenCTI alternatives in Analytics are ranked by recent ship velocity. Browse the "OpenCTI alternatives" section above for the current picks, or visit /alternatives/opencti for the full list with editorial commentary on each.
Top quantities alternatives in Analytics are ranked by recent ship velocity. Browse the "quantities alternatives" section above for the current picks, or visit /alternatives/quantities for the full list with editorial commentary on each.