tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
Comparison · Analytics
pkglite vs Tplyr
A side-by-side editorial comparison of pkglite and Tplyr — release velocity, themes, recent moves, and the top alternatives to consider.
pkglite vs Tplyr: at a glance
What is pkglite?
pkglite's whole job is knowing which files in an R package are text — and it keeps getting better at guessing.
pkglite packs an R package into a single plain-text file and unpacks it again, the mechanism pharmaceutical submissions use to move source through systems that accept text but not archives. The API settled at 0.2.0 with file specification templates, `merge()` and `prune()`. Every release since has improved the same thing: the dictionary that decides whether a file is text or binary, most recently rebuilt from the file extensions found across 21,369 CRAN packages.
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.
pkglite vs Tplyr: editorial side-by-side
pkglite
0.0ANALYTICS
pkglite's whole job is knowing which files in an R package are text — and it keeps getting better at guessing.
◆ Current state
pkglite packs an R package into a single plain-text file and unpacks it again, the mechanism pharmaceutical submissions use to move source through systems that accept text but not archives. The API settled at 0.2.0 with file specification templates, `merge()` and `prune()`. Every release since has improved the same thing: the dictionary that decides whether a file is text or binary, most recently rebuilt from the file extensions found across 21,369 CRAN packages.
◆ Where it's heading
The failure mode this package cares about is silent — misclassify a binary file as text and the round trip corrupts it, misclassify text as binary and it bloats or drops. So the work is empirical rather than architectural: mine real packages for what extensions actually appear, then widen coverage where specific ecosystems break the pattern. Stan interfaces via rstan brought `src/Makevars` and `src/Makefile` handling; machine learning frameworks brought their own binary formats. Dependencies have gone the other way, with cli removed and replaced by internal equivalents.
◆ Prediction
Expect the next substantive release to widen file specification coverage again for whatever package family the maintainers find breaking the default discovery, since that has been the content of every non-maintenance release for four years.
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 pkglite 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 pkglite 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 pkglite alternatives → · See all Tplyr alternatives →
Recent activity from pkglite and Tplyr
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 5mo agopkgliteMaintainer email and CI workflow updates
- 1y agopkgliteHandles Stan-interfacing packages and ML binary formats
- 1y agopkgliteExtension dictionary rebuilt from 21,369 CRAN packages
- 2y agoTplyrMissing-subject metadata, add_anti_join(), and nested-layer fixes
- 2y agopkgliteTest helpers moved to helper.R
- 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 ⚡
- 3y agopkgliteMore file types recognised; cli dependency dropped
- 5y agopkgliteFile collections gain merge, prune, and a tests template
Frequently asked questions
What is the difference between pkglite and Tplyr?
They serve adjacent needs but don't currently overlap on shipped themes. pkglite 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 pkglite better than Tplyr?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. pkglite 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 pkglite?
Top pkglite alternatives in Analytics are ranked by recent ship velocity. Browse the "pkglite alternatives" section above for the current picks, or visit /alternatives/pkglite 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.