Tplyr
Tplyr made clinical summary tables explain where every number came from.
Comparison · Analytics
bundle vs tidytlg
A side-by-side editorial comparison of bundle and tidytlg — release velocity, themes, recent moves, and the top alternatives to consider.
bundle vs tidytlg: at a glance
What is bundle?
Four releases in three years, each one teaching the serializer about a model type it couldn't carry
bundle solves a narrow, real problem: many R model objects hold pointers to external state — compiled boosters, Java handles, torch tensors — that do not survive being saved and reloaded in another session. It wraps them so they do. The package has shipped four releases since 2022, and the shape of each is the same: extend coverage to another model class, or repair coverage that an upstream release broke.
What is tidytlg?
A tables-listings-graphs package that reached CRAN and then went quiet.
tidytlg generates clinical tables, listings, and graphs from tidyverse-style pipelines, maintained under the pharmaverse organisation. All four releases in the window are from a single eight-month stretch in 2023, and their content is CRAN preparation, a logging-dependency swap, and multi-file support. Release notes are merge lists rather than described changes.
bundle vs tidytlg: editorial side-by-side
bundle
0.0ANALYTICS
Four releases in three years, each one teaching the serializer about a model type it couldn't carry
◆ Current state
bundle solves a narrow, real problem: many R model objects hold pointers to external state — compiled boosters, Java handles, torch tensors — that do not survive being saved and reloaded in another session. It wraps them so they do. The package has shipped four releases since 2022, and the shape of each is the same: extend coverage to another model class, or repair coverage that an upstream release broke.
◆ Where it's heading
Coverage is the product, so the release cadence is set by the ecosystem rather than by a roadmap. dbarts arrived in 0.1.2, along with extra work to preserve xgboost's nfeatures and feature_names through a round trip; 0.1.3 exists because xgboost changed its model format again. The 0.1.1 fix — recipes steps nested inside workflows — points at the same underlying issue one level up, where the object needing bundling is buried inside a tidymodels pipeline rather than passed directly.
◆ Prediction
Expect the next release to follow the same trigger: either a new parsnip engine that carries external pointers, or another upstream format change in one of the engines already covered. xgboost has now forced two of the four releases.
tidytlg
0.0ANALYTICS
A tables-listings-graphs package that reached CRAN and then went quiet.
◆ Current state
tidytlg generates clinical tables, listings, and graphs from tidyverse-style pipelines, maintained under the pharmaverse organisation. All four releases in the window are from a single eight-month stretch in 2023, and their content is CRAN preparation, a logging-dependency swap, and multi-file support. Release notes are merge lists rather than described changes.
◆ Where it's heading
The visible arc is getting onto CRAN and staying installable — vignette corrections per CRAN comments, a badge, a check fix, and replacing the timber logging package with logrx. The one functional addition is multiple-file support. There has been no release since October 2023, so on this evidence the package is stable or dormant rather than actively developing.
◆ Prediction
The entries give no signal about planned work; with nothing shipped in roughly two years, the more likely next event is a maintenance release triggered by a dependency or CRAN check than a feature.
Alternatives to bundle and tidytlg
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 bundle or tidytlg.
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 bundle alternatives → · See all tidytlg alternatives →
Recent activity from bundle and tidytlg
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 8mo agobundlexgboost bundling updated for newer model versions
- 1y agobundledbarts BART models become bundleable
- 2y agotidytlgSwaps the timber logger for logrx
- 2y agobundleRecipes steps inside workflows now bundle correctly
- 3y agotidytlgMultiple-file support and table-binding fixes
- 3y agotidytlgVignette update per CRAN comments
- 3y agotidytlgFirst CRAN release
- 3y agobundleFirst CRAN release
Frequently asked questions
What is the difference between bundle and tidytlg?
They serve adjacent needs but don't currently overlap on shipped themes. bundle and tidytlg 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 bundle better than tidytlg?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. bundle and tidytlg 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 bundle?
Top bundle alternatives in Analytics are ranked by recent ship velocity. Browse the "bundle alternatives" section above for the current picks, or visit /alternatives/bundle for the full list with editorial commentary on each.
What are the best alternatives to tidytlg?
Top tidytlg alternatives in Analytics are ranked by recent ship velocity. Browse the "tidytlg alternatives" section above for the current picks, or visit /alternatives/tidytlg for the full list with editorial commentary on each.