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 lintr and projoint — release velocity, themes, recent moves, and the top alternatives to consider.
lintr makes the native pipe the default rule and clears out a decade of deprecations
lintr is the static analysis standard for R packages, and its 3.3.0 release does two things at once: it changes pipe_consistency_linter() to require the native pipe, following the Tidyverse Style Guide, and it completes a long deprecation program — six linters fully deprecated, several arguments defunct, and a batch of functions removed outright. The 3.1.x line before it was accuracy work and a maintainer handoff to Michael Chirico.
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.
lintr is the static analysis standard for R packages, and its 3.3.0 release does two things at once: it changes pipe_consistency_linter() to require the native pipe, following the Tidyverse Style Guide, and it completes a long deprecation program — six linters fully deprecated, several arguments defunct, and a batch of functions removed outright. The 3.1.x line before it was accuracy work and a maintainer handoff to Michael Chirico.
The package has been consolidating: overlapping linters renamed and merged, configuration validated up front, and an experimental R-script config offered as a possible replacement for the DCF format. Alongside that, a sustained campaign against false positives and false negatives in individual linters, which is where most contributor effort goes.
Expect the six warning-deprecated linters to be removed in the next release as announced, and continued movement on the R-script configuration format if feedback supports 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 lintr 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 lintr alternatives → · See all projoint alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. 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 lintr alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "lintr alternatives" section above for the current picks, or visit /alternatives/lintr 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.