datefixR
The messy-date parser rewrote its core in Rust and came out 300x faster.
A side-by-side editorial comparison of c3dr and sftime — 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 spatiotemporal companion to sf, moving at the pace of the packages around it.
sftime extends sf with an active time column, giving R a data frame class for data that is both spatial and temporal. Its recent history is almost entirely integration work: 0.3.0 added conversion methods from spatstat point patterns, sftrack and sftraj movement objects and cubble data frames, plus dedicated tidyr::drop_na() and dplyr::dplyr_reconstruct() methods. The two releases since are a namespace version-check correction and a switch from the magrittr pipe to the native pipe in examples.
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.
sftime extends sf with an active time column, giving R a data frame class for data that is both spatial and temporal. Its recent history is almost entirely integration work: 0.3.0 added conversion methods from spatstat point patterns, sftrack and sftraj movement objects and cubble data frames, plus dedicated tidyr::drop_na() and dplyr::dplyr_reconstruct() methods. The two releases since are a namespace version-check correction and a switch from the magrittr pipe to the native pipe in examples.
The package's job is to be interoperable, so its releases follow whatever the surrounding spatial and tidyverse packages do. The dplyr_reconstruct() work is the clearest example of why that matters: inheriting sf's method caused column binding to silently return an sf object where an sftime object was expected, which is the kind of class-preservation bug that only surfaces two steps downstream. Development is sparse, roughly one release a year.
Expect further conversion methods as new spatiotemporal classes appear in the R spatial ecosystem, and continued tracking of dplyr and tidyr generics. The entries do not indicate any planned change to the sftime class itself.
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 sftime.
The messy-date parser rewrote its core in Rust and came out 300x faster.
The legend engine mapsf spun out, now covering legend types the parent map package can draw.
R help pages translated on demand by whichever LLM you point it at.
Thematic mapping in base R that finally got a theming system, then spent two years polishing legends.
qualtRics moved its contact functions onto XM Directory days before the old endpoints died.
The tidyverts forecasting core rebuilt model combination on full residual covariance.
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. c3dr and sftime 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 sftime 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 sftime alternatives in Analytics are ranked by recent ship velocity. Browse the "sftime alternatives" section above for the current picks, or visit /alternatives/sftime for the full list with editorial commentary on each.