tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
A side-by-side editorial comparison of chattr and webchem — release velocity, themes, recent moves, and the top alternatives to consider.
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.
Adding chemical databases with one hand while public ones close programmatic access with the other.
webchem is the R interface to public chemical data — retrieving identifiers, properties and structures across roughly a dozen web services. Its release history reads as a running account of which of those services still allow automated access. Version 1.3.0 removed two functions outright because their sources withdrew: ChemIDplus was retired by the NLM, and PAN stopped supporting programmatic access. Version 1.3.1 continues the pattern, updating URLs that stopped working and noting that ChemSpider InChIKey validation now requires an API key like the rest of that provider's endpoints.
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.
webchem is the R interface to public chemical data — retrieving identifiers, properties and structures across roughly a dozen web services. Its release history reads as a running account of which of those services still allow automated access. Version 1.3.0 removed two functions outright because their sources withdrew: ChemIDplus was retired by the NLM, and PAN stopped supporting programmatic access. Version 1.3.1 continues the pattern, updating URLs that stopped working and noting that ChemSpider InChIKey validation now requires an API key like the rest of that provider's endpoints.
Two opposing forces run through these entries. The package keeps widening its coverage — ChEMBL in 1.2.0, LIPID MAPS and SwissLipids identifiers via Wikidata, structure images, Mol export — while the open, unauthenticated end of the chemical web keeps contracting. The other consistent thread is interface harmonisation: successive releases have converged the get_* functions on the same query and from arguments, tibble returns, and CAS reformatting, so the package feels like one interface rather than a dozen wrappers.
Expect further defunct functions and URL repairs as more providers move behind keys or shut down, alongside occasional additions of sources that remain open. The entries show no sign of a general credential-management layer, which is what a package facing this trend would eventually need.
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 chattr or webchem.
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 chattr alternatives → · See all webchem alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. chattr and webchem 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. chattr and webchem 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 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.
Top webchem alternatives in Analytics are ranked by recent ship velocity. Browse the "webchem alternatives" section above for the current picks, or visit /alternatives/webchem for the full list with editorial commentary on each.