tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
A side-by-side editorial comparison of beautier and chattr — release velocity, themes, recent moves, and the top alternatives to consider.
A BEAST2 XML generator shipping releases CRAN can't accept because the CRAN team is on holiday.
beautier turns R code into BEAST2 phylogenetics XML input files. The three most recent releases landed over four days in August 2025 and are all explicitly marked pre-CRAN, held back because the CRAN team was on summer holiday. The substance sits in 2.6.13, which added tip-date file handling; the two after it are lint and bug fixes.
chattr deleted every LLM integration it had written and outsourced the lot to ellmer
chattr puts a large language model inside the RStudio IDE, either through a Shiny app or directly at the console. As of 0.3.0 it no longer talks to any model provider itself: all integration goes through ellmer, and the hand-written OpenAI, Databricks and LlamaGPT backends were removed. The package's supported model list is now whatever ellmer supports, and the Shiny app streams responses through ellmer rather than managing a background process.
beautier turns R code into BEAST2 phylogenetics XML input files. The three most recent releases landed over four days in August 2025 and are all explicitly marked pre-CRAN, held back because the CRAN team was on summer holiday. The substance sits in 2.6.13, which added tip-date file handling; the two after it are lint and bug fixes.
Development is fine-grained and test-driven — releases are small, numbered in tight sequence, and reported against a fixed NEW FEATURES / MINOR IMPROVEMENTS / BUG FIXES / DEPRECATED template with 100% code coverage tracked as a line item. The recent work concentrates on validating user-supplied input files rather than expanding BEAST2 model coverage, which suggests the model surface is considered largely done and the remaining friction is in what users feed it.
The pre-CRAN backlog should be squashed into a single CRAN submission once the release window reopens; further work is most likely more input-file validation in the same check_/read_ family.
chattr puts a large language model inside the RStudio IDE, either through a Shiny app or directly at the console. As of 0.3.0 it no longer talks to any model provider itself: all integration goes through ellmer, and the hand-written OpenAI, Databricks and LlamaGPT backends were removed. The package's supported model list is now whatever ellmer supports, and the Shiny app streams responses through ellmer rather than managing a background process.
The first two releases show why that happened. Each provider brought its own error formats, token discovery and response handling, and 0.2.0 is largely a list of per-provider repairs — OpenAI error parsing, Copilot token discovery and model defaults, a new Databricks foundation model backend. Maintaining that surface scales linearly with the number of providers, and the pivot to ellmer trades it for a single dependency. The cost shows up immediately in 0.3.1, which exists solely to absorb a change in ellmer's token object.
Expect chattr's releases to now track ellmer's, as 0.3.1 already does, with the package's own work concentrating on the IDE experience rather than model connectivity. New provider support will arrive without a chattr release at all.
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 beautier or chattr.
A tables-listings-graphs package that reached CRAN and then went quiet.
Tplyr made clinical summary tables explain where every number came from.
Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.
A cache-directory helper that has shipped nothing but CRAN-triggered patches for seven years.
gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.
A weather-data client that keeps rewriting its HTTP layer while slowly tightening its API.
See all beautier alternatives → · See all chattr alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. beautier and chattr 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. beautier and chattr 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 beautier alternatives in Analytics are ranked by recent ship velocity. Browse the "beautier alternatives" section above for the current picks, or visit /alternatives/beautier for the full list with editorial commentary on each.
Top chattr alternatives in Analytics are ranked by recent ship velocity. Browse the "chattr alternatives" section above for the current picks, or visit /alternatives/chattr for the full list with editorial commentary on each.