typst-gather
Extracted from Quarto's CLI, typst-gather learned to explain a dependency tree before fetching it.
A side-by-side editorial comparison of beautier and fabletools — release velocity, themes, recent moves, and the top alternatives to consider.
A BEAST2 XML generator shipping releases CRAN can't accept because the CRAN team is on holiday.
beautier turns R code into BEAST2 phylogenetics XML input files. The three most recent releases landed over four days in August 2025 and are all explicitly marked pre-CRAN, held back because the CRAN team was on summer holiday. The substance sits in 2.6.13, which added tip-date file handling; the two after it are lint and bug fixes.
The tidyverts forecasting core rebuilt model combination on full residual covariance.
fabletools is the framework layer under fable and fpp3 — mables, fables, accuracy measures, reconciliation, and the model arithmetic that lets forecasters express ensembles as expressions. Version 0.8.0 reworked that arithmetic: combination now uses a joint N-way convolution accounting for the full residual covariance across components rather than composing pairwise, and every arithmetic operator collapses to a single model_combination with correctly implied weights, so nested expressions like ((m1 + m2)/2 + m3)/2 flatten automatically. In parallel, the package has been shedding graphics to {ggtime} on a deliberately slow deprecation clock.
beautier turns R code into BEAST2 phylogenetics XML input files. The three most recent releases landed over four days in August 2025 and are all explicitly marked pre-CRAN, held back because the CRAN team was on summer holiday. The substance sits in 2.6.13, which added tip-date file handling; the two after it are lint and bug fixes.
Development is fine-grained and test-driven — releases are small, numbered in tight sequence, and reported against a fixed NEW FEATURES / MINOR IMPROVEMENTS / BUG FIXES / DEPRECATED template with 100% code coverage tracked as a line item. The recent work concentrates on validating user-supplied input files rather than expanding BEAST2 model coverage, which suggests the model surface is considered largely done and the remaining friction is in what users feed it.
The pre-CRAN backlog should be squashed into a single CRAN submission once the release window reopens; further work is most likely more input-file validation in the same check_/read_ family.
fabletools is the framework layer under fable and fpp3 — mables, fables, accuracy measures, reconciliation, and the model arithmetic that lets forecasters express ensembles as expressions. Version 0.8.0 reworked that arithmetic: combination now uses a joint N-way convolution accounting for the full residual covariance across components rather than composing pairwise, and every arithmetic operator collapses to a single model_combination with correctly implied weights, so nested expressions like ((m1 + m2)/2 + m3)/2 flatten automatically. In parallel, the package has been shedding graphics to {ggtime} on a deliberately slow deprecation clock.
The framework is being narrowed and deepened at the same time. Narrowed, because plotting is moving out to a dedicated package over an announced two-year deprecation, leaving fabletools to modeling infrastructure. Deepened, because the recent statistical work targets correctness in places users could not easily inspect — combination weights, inverse-variance weighting computed on response rather than innovation residuals, reconciliation coherency matrices exposed via coherent_smat() and coherent_cmat(). Class hygiene follows the same instinct, with mdl_lst replacing lst_mdl and gaining augment(), glance(), and tidy() so global and reconciliation models report statistics like any other.
With combination and reconciliation infrastructure freshly reworked, the remaining announced work is the ggtime separation, so expect the graphics re-exports to keep degrading toward removal while modeling changes stay incremental.
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 beautier or fabletools.
Extracted from Quarto's CLI, typst-gather learned to explain a dependency tree before fetching it.
naijR is assembling the Nigerian reference data R analysts otherwise hand-code every time.
RBesT is teaching its Bayesian decision rules to answer two-sided questions.
graphicalMCP is a narrow statistical tool being hardened rather than grown.
rtflite stopped being an RTF writer and became the conversion layer for clinical table output.
git2rdata keeps sharpening one idea: a data frame that produces a readable git diff.
See all beautier alternatives → · See all fabletools alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. beautier and fabletools are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). 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. beautier and fabletools are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
Top beautier alternatives in Analytics are ranked by recent ship velocity. Browse the "beautier alternatives" section above for the current picks, or visit /alternatives/beautier for the full list with editorial commentary on each.
Top fabletools alternatives in Analytics are ranked by recent ship velocity. Browse the "fabletools alternatives" section above for the current picks, or visit /alternatives/fabletools for the full list with editorial commentary on each.