recipes
tidymodels' preprocessing engine learned sparsity, then settled into deprecations.
A side-by-side editorial comparison of Gemini and rsample — release velocity, themes, recent moves, and the top alternatives to consider.
A billion monthly users, and a feed running on audience content between launches
The last two weeks of this feed are almost entirely audience content: usage tips, a state-fair guide, a builder showcase, a monthly news roundup, a course retrospective. The one item of substance is a milestone rather than a release — the Gemini app passed a billion monthly users. The actual product news in range, the Chrome integration and Robotics ER 2, published at the end of July.
tidymodels' resampling package is retiring its old splitters for sliding windows.
rsample is at 1.3.2, a small release covering spatialsample interoperability and a soft deprecation of the lag argument on initial_time_split(). The more consequential work sits behind it: 1.3.1 added internal_calibration_split() and a calibration() accessor so tune can fit a preprocessor and a post-processor on separate parts of the analysis set, and 1.3.0 superseded rolling_origin() with the sliding_* family.
The last two weeks of this feed are almost entirely audience content: usage tips, a state-fair guide, a builder showcase, a monthly news roundup, a course retrospective. The one item of substance is a milestone rather than a release — the Gemini app passed a billion monthly users. The actual product news in range, the Chrome integration and Robotics ER 2, published at the end of July.
Google is using this channel to consolidate attention on the app between launches rather than to announce capability. The releases it does carry point at Gemini reaching into other surfaces — Spark inside Chrome, computer use in 3.5 Flash, robotics — rather than the app growing on its own. Everything between those dates is demonstration of existing features.
On this feed's own pattern, the next item of substance will cluster on a launch date as a model or surface announcement; nothing in the current run of lifestyle posts signals what it will be.
rsample is at 1.3.2, a small release covering spatialsample interoperability and a soft deprecation of the lag argument on initial_time_split(). The more consequential work sits behind it: 1.3.1 added internal_calibration_split() and a calibration() accessor so tune can fit a preprocessor and a post-processor on separate parts of the analysis set, and 1.3.0 superseded rolling_origin() with the sliding_* family.
Two threads run through the window. Time-based resampling is migrating from rolling_origin() to sliding_window(), sliding_index() and sliding_period(), while validation_split() and its relatives have moved from soft deprecation to warning in favour of the three-way initial_validation_split(). Alongside that, rsample is growing infrastructure other tidymodels packages consume rather than user-facing splitters.
Given that validation_split() and friends now warn and initial_time_split()'s lag argument is soft-deprecated, the next release most likely escalates those deprecations rather than adding a resampling scheme.
Other ai-assistants 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 Gemini or rsample.
tidymodels' preprocessing engine learned sparsity, then settled into deprecations.
The resampling companion to scikit-learn now ships mostly to stay compatible with it.
parsnip added a whole new regression type, then wired R models to JAX and PyTorch
mlr3 is hardening the seams where its abstractions meet real learners
Mem0 splits agent memory from user memory, then spends a week hardening the plumbing
Every post is a comparison page, and Pictory is always the answer.
See all Gemini alternatives → · See all rsample alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Gemini is currently shipping more aggressively (velocity 8.8 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Gemini is currently shipping more aggressively (velocity 8.8 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 ai-assistants products to evaluate alongside.
Top Gemini alternatives in ai-assistants are ranked by recent ship velocity. Browse the "Gemini alternatives" section above for the current picks, or visit /alternatives/gemini for the full list with editorial commentary on each.
Top rsample alternatives in ai-assistants are ranked by recent ship velocity. Browse the "rsample alternatives" section above for the current picks, or visit /alternatives/rsample for the full list with editorial commentary on each.