FoRecoML
The machine-learning arm of a forecast reconciliation toolkit, four months old and already sharing its sibling's plumbing.
A side-by-side editorial comparison of carrier and projoint — release velocity, themes, recent moves, and the top alternatives to consider.
carrier's 0.3.0 quietly rewrites how crated functions see each other — and breaks code that relied on the old rules.
carrier packages an R function together with the data it needs so it can be shipped to another process or machine. 0.3.0 changed the semantics of functions passed through ...: they are now re-crated inside the main crate environment instead of inheriting from wherever they were defined. That fixes helper functions failing to resolve each other remotely, and stops local environments dragging large objects into the payload.
projoint spent a year on CRAN paperwork, then shipped a correctness fix it flagged itself.
projoint is an R package for analysing conjoint survey experiments, covering Qualtrics import, reshaping, and quantity-of-interest estimation with inter-rater reliability correction. Most of its release history is CRAN admission work — citation formats, DESCRIPTION fields, \value{} tags, vignette cleanups — with four tags backfilled within ninety seconds of each other on 15 July in non-monotonic version order, so neither tag order nor timestamps in this feed track the real sequence. The substantive releases are the ones fixing data-preparation bugs that silently corrupt estimates.
carrier packages an R function together with the data it needs so it can be shipped to another process or machine. 0.3.0 changed the semantics of functions passed through ...: they are now re-crated inside the main crate environment instead of inheriting from wherever they were defined. That fixes helper functions failing to resolve each other remotely, and stops local environments dragging large objects into the payload.
Each release tightens the boundary between a crate and its surroundings. 0.2.0 introduced .parent_env defaulting to baseenv() to cut the crate off from the global search path and made unnamed ... arguments an error instead of a silent drop; 0.3.0 finishes the job by controlling the environment chain of the packed closures themselves. The package is trading backwards compatibility for predictable, self-contained payloads — a reasonable bet for something whose failures otherwise surface on a remote worker.
The 0.1.0 notes promised an automatic dependency-detection mode to replace explicit packing; nothing since has delivered it, and with the environment semantics now settled that is the obvious next move — though the entries give no date for it.
projoint is an R package for analysing conjoint survey experiments, covering Qualtrics import, reshaping, and quantity-of-interest estimation with inter-rater reliability correction. Most of its release history is CRAN admission work — citation formats, DESCRIPTION fields, \value{} tags, vignette cleanups — with four tags backfilled within ninety seconds of each other on 15 July in non-monotonic version order, so neither tag order nor timestamps in this feed track the real sequence. The substantive releases are the ones fixing data-preparation bugs that silently corrupt estimates.
The maintainer is hardening the path from raw Qualtrics export to estimate, which is where conjoint analysis quietly goes wrong. Three separate releases fix that path: dropped respondent-level weights in organize_data(), repeated-task reshaping in reshape_projoint(), and choice-to-profile mapping in 1.1.3. Each fix now arrives with regression tests and stricter validation rather than just a patch, and 1.1.3 adds an explicit .choice_map so the mapping is auditable instead of inferred.
Expect the validation-and-regression-test pattern to keep extending across the import path, with releases continuing to arrive in bursts around CRAN submission rather than on a cadence.
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 carrier or projoint.
The machine-learning arm of a forecast reconciliation toolkit, four months old and already sharing its sibling's plumbing.
Forecast reconciliation with a real object model, five years after it started returning bare matrices.
A textbook data package whose whole job is to stay installable, and whose releases prove how much work that is.
A graph-centrality package that spent 2026 making its existing measures usable at scale, then went quiet.
A test-theory package that grew into a graphical-model toolkit, now spending its releases paying down the API debt that growth created.
nuggets keeps compounding on the 2.0 rewrite — more pattern families, lighter install.
See all carrier alternatives → · See all projoint alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Infra & APIs. projoint 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. projoint 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 Infra & APIs products to evaluate alongside.
Top carrier alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "carrier alternatives" section above for the current picks, or visit /alternatives/carrier for the full list with editorial commentary on each.
Top projoint alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "projoint alternatives" section above for the current picks, or visit /alternatives/projoint for the full list with editorial commentary on each.