tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
Comparison · Analytics
parzer vs Tplyr
A side-by-side editorial comparison of parzer and Tplyr — release velocity, themes, recent moves, and the top alternatives to consider.
parzer vs Tplyr: at a glance
What is parzer?
A coordinate parser whose entire job is surviving how badly humans write latitude and longitude.
parzer converts messy coordinate strings — degrees, minutes, seconds, assorted symbols, arbitrary whitespace — into decimal degrees. Development is slow and sporadic, with three-year gaps between releases, and the work splits between C++ performance in the internal scrub() path and a long tail of parsing bugs. The most recent release, 0.4.4, fixed two genuinely dangerous ones: a leading space could silently drop a negative sign, and an E in a longitude string returned NA while a W parsed fine.
What is Tplyr?
Tplyr made clinical summary tables explain where every number came from.
Tplyr builds clinical summary tables through a layered grammar — count, descriptive statistics, and shift layers assembled onto a table object. The 1.0.0 release added a traceability metadata framework that lets a user ask which source rows produced any given cell, and later releases extended it to cases the first pass missed. The package is maintained by Atorus within the pharmaverse ecosystem.
parzer vs Tplyr: editorial side-by-side
parzer
0.0ANALYTICS
A coordinate parser whose entire job is surviving how badly humans write latitude and longitude.
◆ Current state
parzer converts messy coordinate strings — degrees, minutes, seconds, assorted symbols, arbitrary whitespace — into decimal degrees. Development is slow and sporadic, with three-year gaps between releases, and the work splits between C++ performance in the internal scrub() path and a long tail of parsing bugs. The most recent release, 0.4.4, fixed two genuinely dangerous ones: a leading space could silently drop a negative sign, and an E in a longitude string returned NA while a W parsed fine.
◆ Where it's heading
The package has settled its scope — 0.4.1 explicitly rewrote the documentation to say it parses coordinates rather than validates them — and now moves only when someone finds a string it mishandles. Recent work has also been about shedding weight: Rcpp dependence reduced, the C++ requirement dropped from DESCRIPTION, suggested dependencies removed, and the vignette builder moved to Quarto. Maintainership passed to a new maintainer in 2022 and the package has stayed within rOpenSci.
◆ Prediction
The next release will most likely be another batch of parsing edge cases reported by users, since that is what every release since 0.2.0 has been. Nothing in these entries points to new functionality.
Tplyr
0.0ANALYTICS
Tplyr made clinical summary tables explain where every number came from.
◆ Current state
Tplyr builds clinical summary tables through a layered grammar — count, descriptive statistics, and shift layers assembled onto a table object. The 1.0.0 release added a traceability metadata framework that lets a user ask which source rows produced any given cell, and later releases extended it to cases the first pass missed. The package is maintained by Atorus within the pharmaverse ecosystem.
◆ Where it's heading
Post-1.0 work has been about completing the metadata story and filling gaps in layer composition rather than adding table types — metadata for missing subjects, add_anti_join(), missing-subject rows, data limiting, and fixes to nested count layers where an inner value appears under several outer groups. Releases cluster tightly after a major version, then go quiet, and the window ends with a patch issued days after the release it corrects.
◆ Prediction
Further releases will most likely continue closing traceability and nested-layer edge cases rather than introducing new layer types, following the pattern of both post-1.0 feature releases.
Alternatives to parzer and Tplyr
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 parzer or Tplyr.
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.
datasetjson
datasetjson rebuilt its object model to track the CDISC Dataset-JSON 1.1 schema.
See all parzer alternatives → · See all Tplyr alternatives →
Recent activity from parzer and Tplyr
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1y agoparzerFixes dropped negative signs and mis-parsed E longitudes
- 2y agoTplyrMissing-subject metadata, add_anti_join(), and nested-layer fixes
- 3y agoTplyrMetadata vignette fix and parenthesis hugging
- 3y agoTplyrDenominator logic fix ahead of CRAN release
- 3y agoTplyrReverse-dependency fix
- 3y agoTplyr1.0.0 introduces the traceability metadata framework ⚡
- 4y agoparzerScope clarified: parsing, not coordinate validation
- 5y agoparzerFaster scrub(); works around non-UTF8 locales on Windows
- 5y agoparzerFixes factor conversion in parse_llstr() on older R
- 5y agoparzerparse_llstr() parses latitude and longitude from one string
- 6y agoparzerMore degree symbols recognised; NA handling fixed in C++
Frequently asked questions
What is the difference between parzer and Tplyr?
They serve adjacent needs but don't currently overlap on shipped themes. parzer and Tplyr 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 parzer better than Tplyr?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. parzer and Tplyr 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 parzer?
Top parzer alternatives in Analytics are ranked by recent ship velocity. Browse the "parzer alternatives" section above for the current picks, or visit /alternatives/parzer for the full list with editorial commentary on each.
What are the best alternatives to Tplyr?
Top Tplyr alternatives in Analytics are ranked by recent ship velocity. Browse the "Tplyr alternatives" section above for the current picks, or visit /alternatives/tplyr for the full list with editorial commentary on each.