datefixR
The messy-date parser rewrote its core in Rust and came out 300x faster.
A side-by-side editorial comparison of sdtm.oak and textshaping — release velocity, themes, recent moves, and the top alternatives to consider.
Two releases in, the open-source SDTM toolkit now covers the domains it originally excluded.
sdtm.oak builds SDTM datasets — the tabulation standard clinical trial submissions are filed in — from raw collected data. The 0.1.0 release shipped the mapping algorithm functions and derived-variable helpers but explicitly excluded DM, trial design domains, and several others. Version 0.2.0 closes the largest of those gaps, adding DM domain support via calc_min_max_date() and oak_calc_ref_dates(), plus generate_sdtm_supp() for supplemental qualifier domains.
Rewrote its shaping engine for bidirectional text, then spent a year fixing what that broke.
textshaping is the text layout layer beneath R's modern graphics stack, feeding ragg, ggplot2 and marquee. Version 1.0.0 rewrote the shaping engine to honour the global direction of text, adding a direction argument that defaults to automatic detection, align settings that resolve against that direction, and ICU-based soft break locations that handle ideographic scripts properly. The five releases since have been consecutive bug fixes against that rewrite — bidi embedding arrangement, line positioning with mixed sizes, a weak hash in the shape cache, a signed integer overflow, and font fallback regressions.
sdtm.oak builds SDTM datasets — the tabulation standard clinical trial submissions are filed in — from raw collected data. The 0.1.0 release shipped the mapping algorithm functions and derived-variable helpers but explicitly excluded DM, trial design domains, and several others. Version 0.2.0 closes the largest of those gaps, adding DM domain support via calc_min_max_date() and oak_calc_ref_dates(), plus generate_sdtm_supp() for supplemental qualifier domains.
This is the pharmaverse pattern of building submission tooling in the open, one domain class at a time, with the release history running through GitHub release-candidate tags before each CRAN submission. The direction is clear from the domain checklist: start with the mechanically simple Findings and Events domains, then work toward the ones with cross-dataset dependencies. DM and SUPP were the two that most often forced teams back to bespoke code.
The remaining exclusions from the 0.1.0 scope — trial design domains, SV, SE, RELREC and the EPOCH variable — are the obvious next targets, with EPOCH likely first since it depends on the reference dates 0.2.0 just added. Expect the same rhythm of release candidates ahead of each CRAN submission.
textshaping is the text layout layer beneath R's modern graphics stack, feeding ragg, ggplot2 and marquee. Version 1.0.0 rewrote the shaping engine to honour the global direction of text, adding a direction argument that defaults to automatic detection, align settings that resolve against that direction, and ICU-based soft break locations that handle ideographic scripts properly. The five releases since have been consecutive bug fixes against that rewrite — bidi embedding arrangement, line positioning with mixed sizes, a weak hash in the shape cache, a signed integer overflow, and font fallback regressions.
The package has moved from Latin-first layout to script-agnostic layout in two rewrites, 0.4.0 and 1.0.0, and is now in the long correctness tail that follows. The bug reports arriving from ggplot2, ragg and marquee issue numbers show how it works in practice: textshaping bugs surface as rendering defects in the packages above it, which is why so many fixes here cite another package's issue tracker.
Expect continued fixes driven by downstream rendering reports rather than new layout features, as the 1.0.x series stabilises. The font fallback path has produced two of the recent bugs and is the most likely source of the next.
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 sdtm.oak or textshaping.
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.
See all sdtm.oak alternatives → · See all textshaping alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. sdtm.oak and textshaping 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. sdtm.oak and textshaping 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 sdtm.oak alternatives in Analytics are ranked by recent ship velocity. Browse the "sdtm.oak alternatives" section above for the current picks, or visit /alternatives/sdtm-oak for the full list with editorial commentary on each.
Top textshaping alternatives in Analytics are ranked by recent ship velocity. Browse the "textshaping alternatives" section above for the current picks, or visit /alternatives/textshaping for the full list with editorial commentary on each.