randomwalk
randomwalk spent every release getting an R simulation to run in the browser, not on a server.
A side-by-side editorial comparison of haze and rollama — release velocity, themes, recent moves, and the top alternatives to consider.
Four dormant years end with a modernization pass and an off-by-one fix in the C++ core
haze does nearest-neighbour smoothing and k-d tree interpolation on brain surface meshes. It sat untouched from April 2022 until July 2026, when a single release modernized it for current R versions and corrected an off-by-one error in the C++ code. It is not on CRAN and never will be — the package exceeds 50MB against CRAN's 5MB ceiling, a constraint its own initial release notes acknowledge.
rollama turns a local-LLM wrapper into an instrument for reproducible annotation
rollama is an R client for Ollama, aimed at researchers running local models for text annotation and embedding rather than at application developers. Version 0.3.0 adds response caching, logprobs output, batched questions, and a reimplemented structured-outputs path with its own vignette, while syncing against upstream Ollama API changes. The package now covers the full loop a computational social scientist needs: prompt, constrain the output shape, read the model's confidence, and cache the result.
haze does nearest-neighbour smoothing and k-d tree interpolation on brain surface meshes. It sat untouched from April 2022 until July 2026, when a single release modernized it for current R versions and corrected an off-by-one error in the C++ code. It is not on CRAN and never will be — the package exceeds 50MB against CRAN's 5MB ceiling, a constraint its own initial release notes acknowledge.
The July 2026 release arrived 56 minutes after its sibling regfusionr 0.3.0 from the same maintainer, which is the tell: this is a maintainer sweeping a set of related neuroimaging packages back into working order, not independent development on haze itself. haze is the dependency, regfusionr the consumer, and the substantive work sits on the regfusionr side. The off-by-one correction is the only change here that alters results.
Expect haze to move only when a downstream dfsp-spirit package needs it to — its cadence is driven by the sibling packages, not by its own roadmap.
rollama is an R client for Ollama, aimed at researchers running local models for text annotation and embedding rather than at application developers. Version 0.3.0 adds response caching, logprobs output, batched questions, and a reimplemented structured-outputs path with its own vignette, while syncing against upstream Ollama API changes. The package now covers the full loop a computational social scientist needs: prompt, constrain the output shape, read the model's confidence, and cache the result.
Each release has pushed further from chat toward measurement. Early versions added multi-model querying and dedicated embedding models; 0.2.0 brought make_query() for annotation and multi-server dispatch; 0.2.1 added structured output and custom headers. The 0.3.0 combination of logprobs and caching is the clearest statement of intent — those are features you add for people who need confidence scores and reproducible reruns, not for people building chatbots. Keeping pace with the Ollama API is the recurring maintenance cost.
Expect the annotation path to keep deepening — likely more tooling around logprob-derived confidence and validation of structured outputs — alongside the routine syncing each Ollama API change forces.
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 haze or rollama.
randomwalk spent every release getting an R simulation to run in the browser, not on a server.
fastml added survival modelling and leakage-proof resampling, moving past classification and regression.
abclass built out angle-based classifiers in 2022, then went quiet except for CRAN upkeep.
churon is spending its entire release history getting a Rust ONNX binding through CRAN.
firatheme woke up after four years and started fixing what ggplot2 changed underneath it.
bagyo reached CRAN as a Philippine tropical cyclone dataset, with its tags stamped out of order.
See all haze alternatives → · See all rollama alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. haze is currently shipping more aggressively (velocity 2.5 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. haze is currently shipping more aggressively (velocity 2.5 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 Analytics products to evaluate alongside.
Top haze alternatives in Analytics are ranked by recent ship velocity. Browse the "haze alternatives" section above for the current picks, or visit /alternatives/haze for the full list with editorial commentary on each.
Top rollama alternatives in Analytics are ranked by recent ship velocity. Browse the "rollama alternatives" section above for the current picks, or visit /alternatives/rollama for the full list with editorial commentary on each.