osmextract
osmextract stopped throwing your OpenStreetMap downloads away at the end of every session.
A side-by-side editorial comparison of c3dr and fabletools — release velocity, themes, recent moves, and the top alternatives to consider.
A biomechanics C3D reader graduated through rOpenSci review to CRAN, then learned to write force plates.
c3dr reads and writes C3D motion-capture files in R, wrapping the EZC3D library. It cleared rOpenSci peer review and moved into the rOpenSci organisation in April 2025, reached CRAN a month later, and shipped force-platform export in c3d_write() in August. Releases are close together and each one has a clear single purpose.
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.
c3dr reads and writes C3D motion-capture files in R, wrapping the EZC3D library. It cleared rOpenSci peer review and moved into the rOpenSci organisation in April 2025, reached CRAN a month later, and shipped force-platform export in c3d_write() in August. Releases are close together and each one has a clear single purpose.
The package is filling in the write side of the read/write pair. Reading was in place from the start; 0.2.0 extends c3d_write() to force-platform data on a direct user request, and the accompanying work preserves matrix structure on import and tracks upstream EZC3D changes. The review-era releases hardened validation and error messages, so the current cycle can be spent on capability rather than polish.
Expect further coverage of C3D block types in the writer and continued tracking of EZC3D releases; the changelog gives no signal of analysis features beyond file I/O.
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 c3dr or fabletools.
osmextract stopped throwing your OpenStreetMap downloads away at the end of every session.
nanoparquet is chasing byte-level agreement with the Java and Rust Parquet readers, not feature count.
poissonreg gave its models away to parsnip and kept the glue — now it just keeps glmnet honest.
S7 has stopped adding surface and started proving it holds up against R itself.
R's torchvision is porting PyTorch's vision stack one task at a time — instance segmentation just landed.
The messy-date parser rewrote its core in Rust and came out 300x faster.
See all c3dr 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. c3dr 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. c3dr 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 c3dr alternatives in Analytics are ranked by recent ship velocity. Browse the "c3dr alternatives" section above for the current picks, or visit /alternatives/c3dr 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.