mice
mice can finally predict, not just estimate, from multiply imputed data.
A side-by-side editorial comparison of Nextflow and smam — release velocity, themes, recent moves, and the top alternatives to consider.
Nextflow just made AI agents a task type, alongside processes and containers.
Nextflow ships on two tracks — dated edge releases carrying new work and 25.10.x/26.04.x stable lines taking backports — and the split is visible in every window: the edge builds run to dozens of commits while the stable patches are often plugin bumps alone. The current edge, 26.08.0-edge, introduces an agent primitive that makes AI agents first-class tasks, on top of steady work hardening the v2 config parser and type system. Cloud-executor plumbing, particularly for Seqera's own scheduler, is the other constant.
Animal-movement models in R, where new stochastic processes arrive years apart.
smam fits statistical models of animal movement, covering moving-resting processes with and without measurement error, moving-resting-handling, and moving-moving processes, with simulation, point estimation and variance estimation for each. The last three releases are pure upkeep: guarding Rf_error calls after an Rcpp update, a maintainer email change, and a compiler warning fix. The substantive work in this window is 0.7.0, which added estimate and vcov generics across all fit functions, and 0.6.0, which added the moving-moving process.
Nextflow ships on two tracks — dated edge releases carrying new work and 25.10.x/26.04.x stable lines taking backports — and the split is visible in every window: the edge builds run to dozens of commits while the stable patches are often plugin bumps alone. The current edge, 26.08.0-edge, introduces an agent primitive that makes AI agents first-class tasks, on top of steady work hardening the v2 config parser and type system. Cloud-executor plumbing, particularly for Seqera's own scheduler, is the other constant.
Two arcs run in parallel. One is language maturity: the v2 parser, record types, typed outputs and the formatter have absorbed fix after fix across every release here, which is what a language does before it declares a syntax stable. The other is consolidation around Seqera — nf-tower folded into nf-seqera at 1.0.0, scheduler run identifiers propagate to Platform, and per-user CPU caps and secret references now cross that boundary. The agent primitive is the newest and least settled direction, arriving in edge rather than a stable line.
The agent primitive lands in an edge build, so the near-term question is whether it survives into a stable line unchanged or is reshaped first; the 26.04.x and 25.10.x branches show no sign of it yet. Expect the next edge releases to iterate on its interface while the stable branches continue taking parser and executor backports.
smam fits statistical models of animal movement, covering moving-resting processes with and without measurement error, moving-resting-handling, and moving-moving processes, with simulation, point estimation and variance estimation for each. The last three releases are pure upkeep: guarding Rf_error calls after an Rcpp update, a maintainer email change, and a compiler warning fix. The substantive work in this window is 0.7.0, which added estimate and vcov generics across all fit functions, and 0.6.0, which added the moving-moving process.
This package grows by adding process models, and it does so rarely. Between the moving-moving process in 2021 and now, the only interface-level change has been the 0.7.0 generics that gave every fit function a common way to retrieve estimates and their covariance, which is consolidation of an accumulated collection rather than expansion of it. The three releases since are entirely reactive to toolchain and CRAN pressure, and they arrive in step with the maintainer's other package coga, which received the same Rcpp guard within twenty minutes on the same day.
Expect further releases to be CRAN and Rcpp maintenance unless a new movement process is published, which is what has historically prompted a minor version here. The generics added in 0.7.0 give any future process model a ready-made interface to slot into.
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 Nextflow or smam.
mice can finally predict, not just estimate, from multiply imputed data.
A market-microstructure toolkit that keeps adding estimators as the papers land.
A vowel-analysis package trimming dependencies after an email address got it archived.
The R half of the EMU speech database system, fixing what was quietly broken.
A Bayesian model-averaging package spending its 2.0 on memory, not methods.
tidyplots keeps rebuilding its own foundations rather than layering around them.
See all Nextflow alternatives → · See all smam alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Nextflow 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. Nextflow 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 Infra & APIs products to evaluate alongside.
Top Nextflow alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Nextflow alternatives" section above for the current picks, or visit /alternatives/nextflow for the full list with editorial commentary on each.
Top smam alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "smam alternatives" section above for the current picks, or visit /alternatives/smam for the full list with editorial commentary on each.