tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
Comparison · Analytics
datasetjson vs textshaping
A side-by-side editorial comparison of datasetjson and textshaping — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
datasetjson vs textshaping: at a glance
What is datasetjson?
datasetjson rebuilt its object model to track the CDISC Dataset-JSON 1.1 schema.
datasetjson reads and writes CDISC Dataset-JSON, the JSON replacement for SAS transport files in clinical-trial submissions. The package went from a thin reader in 2023 to a redesigned interface in 0.3.0 that targets the 1.1.0 schema, uses yyjsonr as its JSON backend, and exposes column metadata as first-class arguments. Development is contributor-driven inside the Atorus and pharmaverse orbit.
What is textshaping?
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.
datasetjson vs textshaping: editorial side-by-side
datasetjson
0.0ANALYTICS
datasetjson rebuilt its object model to track the CDISC Dataset-JSON 1.1 schema.
◆ Current state
datasetjson reads and writes CDISC Dataset-JSON, the JSON replacement for SAS transport files in clinical-trial submissions. The package went from a thin reader in 2023 to a redesigned interface in 0.3.0 that targets the 1.1.0 schema, uses yyjsonr as its JSON backend, and exposes column metadata as first-class arguments. Development is contributor-driven inside the Atorus and pharmaverse orbit.
◆ Where it's heading
The package's roadmap is not its own — it tracks a CDISC standard that is still moving, and 0.3.0 is what happens when the standard revises: object model, read and write paths, and JSON backend all changed together. Performance was addressed in the same pass, which matters because submission datasets are large enough that a slow serialiser is a real constraint.
◆ Prediction
The next significant release will most likely follow the next Dataset-JSON schema revision rather than an internal roadmap, given that 0.3.0 was driven entirely by the 1.1.0 update.
textshaping
0.0ANALYTICS
Rewrote its shaping engine for bidirectional text, then spent a year fixing what that broke.
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
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.
Alternatives to datasetjson and textshaping
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 datasetjson or textshaping.
Tplyr
Tplyr made clinical summary tables explain where every number came from.
rlistings
Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.
hoardr
A cache-directory helper that has shipped nothing but CRAN-triggered patches for seven years.
gigs
gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.
riem
A weather-data client that keeps rewriting its HTTP layer while slowly tightening its API.
See all datasetjson alternatives → · See all textshaping alternatives →
Recent activity from datasetjson and textshaping
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 5mo agotextshapingFixes reverting between font fallbacks
- 9mo agotextshapingGuards against freetype version mismatches with systemfonts
- 11mo agotextshapingFixes a signed integer overflow in the previous fix
- 11mo agotextshapingFixes bidi single-line shaping and a weak shape-cache hash
- 1y agotextshapingFixes hard line breaks across multiple embeddings
- 1y agodatasetjsonDataset-JSON 1.1.0 support with a redesigned object model ⚡
- 1y agotextshapingShaping engine rewritten to honour global text direction ⚡
- 2y agodatasetjsonReads and validates Dataset-JSON from URLs
- 2y agodatasetjsonInitial CRAN release
Frequently asked questions
What is the difference between datasetjson and textshaping?
Both compete on the same themes — r-package — within Analytics. datasetjson 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.
Is datasetjson better than textshaping?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. datasetjson 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.
What are the best alternatives to datasetjson?
Top datasetjson alternatives in Analytics are ranked by recent ship velocity. Browse the "datasetjson alternatives" section above for the current picks, or visit /alternatives/datasetjson for the full list with editorial commentary on each.
What are the best alternatives to textshaping?
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.