STACAS
Single-cell batch correction that learned to use cell labels, then spent three releases chasing Seurat.
A side-by-side editorial comparison of flashlight and intsurv — release velocity, themes, recent moves, and the top alternatives to consider.
flashlight hit 1.0 by giving away its SHAP feature and making most of its API internal.
flashlight computes model-agnostic interpretability output — variable importance, partial dependence and effect profiles, breakdown plots — for fitted models in R. Version 1.0.0 in October 2025 executed a contraction announced two years earlier: add_shap() is deprecated in favour of the separate kernelshap and fastshap packages, type = "shap" is gone from every light_* function that accepted it, and eight previously exported helpers became internal. The release also restored compatibility with ggplot2 v4.
A Cox cure-rate model package woke up after four years to simplify its own interface.
intsurv fits Cox cure rate models for right-censored survival data where event status may be uncertain — the case where you cannot tell whether a subject experienced the event or was never susceptible to it. The core has been stable since 2019: cox_cure() and its regularized counterpart cox_cure_net(), plus a weighted concordance index and a data simulator. After more than four years without a release, version 0.3.0 arrived in September 2025 and restructured how those two functions are configured rather than adding capability.
flashlight computes model-agnostic interpretability output — variable importance, partial dependence and effect profiles, breakdown plots — for fitted models in R. Version 1.0.0 in October 2025 executed a contraction announced two years earlier: add_shap() is deprecated in favour of the separate kernelshap and fastshap packages, type = "shap" is gone from every light_* function that accepted it, and eight previously exported helpers became internal. The release also restored compatibility with ggplot2 v4.
The package is narrowing rather than growing, and doing it on a published schedule — 0.9.0 listed the breaking changes, 1.0.0 applied them essentially unchanged. Handing SHAP computation to dedicated packages leaves flashlight as an effects-and-profiles visualization layer rather than an all-purpose interpretability toolkit. Removing the ability to rename result columns via options() points the same way: fewer configuration surfaces, a smaller contract to maintain.
With the deprecation list from 0.9.0 now fully applied, the next releases most likely remove the functions currently deprecated rather than adding capability, and continue tracking ggplot2. The entries show no new analysis method in progress.
intsurv fits Cox cure rate models for right-censored survival data where event status may be uncertain — the case where you cannot tell whether a subject experienced the event or was never susceptible to it. The core has been stable since 2019: cox_cure() and its regularized counterpart cox_cure_net(), plus a weighted concordance index and a data simulator. After more than four years without a release, version 0.3.0 arrived in September 2025 and restructured how those two functions are configured rather than adding capability.
The package has reached the point where the methods are settled and the remaining work is ergonomics. Moving control parameters, M-step settings and penalty specification into cox_cure.control(), cox_cure.mstep() and cox_cure_net.penalty() follows the established R convention of separating tuning from the model formula, and it arrives long after the arguments accumulated. The C++ headers were placed in inst/include as early as 2019 so other packages could link against them, which suggests the implementation was always intended to be reused.
The gap between 0.2.2 and 0.3.0 makes cadence a poor basis for prediction. What the entries do support is that the interface rework is unfinished business rather than a prelude to new methods, so consolidation around the new helper functions is the likelier next step.
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 flashlight or intsurv.
Single-cell batch correction that learned to use cell labels, then spent three releases chasing Seurat.
A debugger for ggplot2's internals, hardening its grip as the internals it traces keep moving.
A univariate density estimator that added zero-inflated data and reopened its C++ API to do it.
Stationary vine copulas for time series, released in lockstep with the rest of Nagler's vine stack.
A single-purpose ggplot2 extension that has spent six years tracking ggplot2 instead of growing.
A Star Trek data package that became a Memory Alpha web client and has been patching scrapers ever since.
See all flashlight alternatives → · See all intsurv alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. flashlight and intsurv 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. flashlight and intsurv 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.
Top flashlight alternatives in Analytics are ranked by recent ship velocity. Browse the "flashlight alternatives" section above for the current picks, or visit /alternatives/flashlight for the full list with editorial commentary on each.
Top intsurv alternatives in Analytics are ranked by recent ship velocity. Browse the "intsurv alternatives" section above for the current picks, or visit /alternatives/intsurv for the full list with editorial commentary on each.