dscore
The D-score reference implementation rebuilt its measurement foundation on seven countries.
A side-by-side editorial comparison of Cursor and stochvol — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | Cursor | stochvol |
|---|---|---|
| Sector | Infra & APIs | Infra & APIs |
| Velocity score | 8.8 | 0.0 |
| Sparks · 30d | 3 | 0 |
| Top themes | ai-agents, autonomous-agents, event-driven, cloud-agents | bayesian-inference, stochastic-volatility, mcmc, rcpp |
| Last editorial update | 18h ago | 47m ago |
| Website | — | Visit → |
Cursor's agents stop waiting to be asked - they subscribe, and they hold a goal until it's done.
Cursor has spent two months moving agents out of the editor: cloud agents on iPhone and iPad, in Slack, on schedules, a team marketplace, a router picking the model per request, and Origin hosting repos and pull requests inside the product. This release changes how those agents are started. Cloud agents can subscribe to an event source - a PR, a Slack thread, a schedule - and wake when something happens, and /goal gives one a long-lived objective it works toward until complete. Subagents now get their own virtual machines with isolated project copies.
A Bayesian volatility sampler in its maintenance decade, paying for its own speed
stochvol runs MCMC for stochastic volatility models, with a C++ sampler underneath an R interface. Five years of releases in this window contain no new models: the work is compiler and dependency compatibility, CRAN check notes, and a steady trickle of corrections to the sampler itself. Its methodological milestone, the Journal of Statistical Software paper, is recorded in a 2021 tag.
Cursor has spent two months moving agents out of the editor: cloud agents on iPhone and iPad, in Slack, on schedules, a team marketplace, a router picking the model per request, and Origin hosting repos and pull requests inside the product. This release changes how those agents are started. Cloud agents can subscribe to an event source - a PR, a Slack thread, a schedule - and wake when something happens, and /goal gives one a long-lived objective it works toward until complete. Subagents now get their own virtual machines with isolated project copies.
The through-line has been removing external dependencies and wait states; this release removes the human from the trigger. Agents that Cursor created now subscribe to their own pull requests and drive them to completion, fixing CI and answering bot comments unprompted. Isolated per-subagent VMs are what make that safe to parallelize - swarms can work without colliding - and steering lets a person redirect a running agent at the next tool call rather than interrupting it. Cursor is building the always-on case rather than the faster-autocomplete one.
With subscriptions limited to cloud agents for now, the obvious next step is bringing event-triggered runs to local agents, along with the controls an always-on fleet needs - spend limits, approval gates, and a way to review what ran while nobody was watching.
stochvol runs MCMC for stochastic volatility models, with a C++ sampler underneath an R interface. Five years of releases in this window contain no new models: the work is compiler and dependency compatibility, CRAN check notes, and a steady trickle of corrections to the sampler itself. Its methodological milestone, the Journal of Statistical Software paper, is recorded in a 2021 tag.
This is what a finished computational package looks like. The formula interface arrived at 3.1.0 and nothing has been added since; what changes is the ground underneath — RcppArmadillo major versions, UBSan checks, error-handling conventions moving from Rf_error to Rcpp::stop for correct memory management. The recurring pattern worth watching is that several releases fix real errors in the sampler's proposal distributions, found by users and by CRAN's own instrumented checks rather than by the maintainer.
Nothing in these notes suggests new methodology. Expect the next release when RcppArmadillo or a CRAN check flavour forces one, and treat any bug report against the samplers as the more consequential event.
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 Cursor or stochvol.
The D-score reference implementation rebuilt its measurement foundation on seven countries.
A football-viz package just swapped scraping for an API and broke its own output to do it.
A gene-set enrichment package that outgrew its human-only origins, then went quiet.
The recursive-computation engine under massProps grows the accessors its consumer needed
A mass-properties rollup spends a year on documentation and follows its sibling's API
Six months of releases and not one of them touched the scoring models
See all Cursor alternatives → · See all stochvol alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Cursor is currently shipping more aggressively (velocity 8.8 vs 0.0), with 3 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. Cursor is currently shipping more aggressively (velocity 8.8 vs 0.0), with 3 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
Top Cursor alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Cursor alternatives" section above for the current picks, or visit /alternatives/cursor for the full list with editorial commentary on each.
Top stochvol alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "stochvol alternatives" section above for the current picks, or visit /alternatives/stochvol for the full list with editorial commentary on each.