tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
A side-by-side editorial comparison of patentsview and r2rtf — release velocity, themes, recent moves, and the top alternatives to consider.
Dormant for years, then rewritten wholesale when the API underneath it broke.
patentsview is an R client for the USPTO PatentsView API, and version 1.0.0 is less a feature release than a forced reconstruction: the upstream API introduced mandatory keys, renamed and re-nested its endpoints, and the package had to follow. Between 2017 and 2021 the release cadence was roughly annual and almost entirely defensive — wrapping examples so CRAN would not fail during API outages, patching URL encoding, adding throttling retries. The 1.0.0 work restores the package to parity with an API that no longer resembles the one it was written against.
The clinical-report table engine learned Chinese, then learned to leave RTF entirely
r2rtf builds the RTF tables, listings and figures that go into clinical study reports, and its recent releases have been about widening who and what it can serve rather than changing how tables are composed. The 1.2.0 release added internationalization — a SimSun font path for Chinese characters plus hyphenation control — and 1.3.0 followed with write_docx() and write_html(), turning the LibreOffice conversion the package had documented into exported functions.
patentsview is an R client for the USPTO PatentsView API, and version 1.0.0 is less a feature release than a forced reconstruction: the upstream API introduced mandatory keys, renamed and re-nested its endpoints, and the package had to follow. Between 2017 and 2021 the release cadence was roughly annual and almost entirely defensive — wrapping examples so CRAN would not fail during API outages, patching URL encoding, adding throttling retries. The 1.0.0 work restores the package to parity with an API that no longer resembles the one it was written against.
The arc here is a client package whose roadmap is entirely dictated by an upstream service it does not control. Every release since 0.2.0 has been reactive — HTTPS migration, throttling, encoding fixes, and now a full breaking rewrite. The one forward-looking piece is retrieve_linked_data(), which follows HATEOAS links the API now returns, meaning the package is starting to navigate the API rather than just query fixed endpoints.
Expect the next releases to be small follow-ups against the reworked API — field list refreshes and error handling for endpoints that behave differently in practice than in the documentation. The entries do not show any independent roadmap, so anything beyond that would depend on further upstream API changes.
r2rtf builds the RTF tables, listings and figures that go into clinical study reports, and its recent releases have been about widening who and what it can serve rather than changing how tables are composed. The 1.2.0 release added internationalization — a SimSun font path for Chinese characters plus hyphenation control — and 1.3.0 followed with write_docx() and write_html(), turning the LibreOffice conversion the package had documented into exported functions.
Two threads run through the window. One is output reach: RTF remains the composition target, but the artifacts that come out of it now include DOCX and HTML, and page numbering can be made table-relative across multi-page tables. The other is durability under a moving R and font stack — the ANSI/Unicode converter was rebuilt, the LaTeX mapping table generated from code rather than shipped as sysdata, unlist() usage fixed for R 4.5, and graphics-device leaks that produced stray Rplots.pdf closed off.
Having exported DOCX and HTML conversion, the likely next step is filling in what those formats lose relative to RTF — pagination and footnote fidelity are the obvious gaps. The i18n path currently covers Chinese only, so additional font families are the other plausible direction.
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 patentsview or r2rtf.
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 patentsview alternatives → · See all r2rtf alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. patentsview and r2rtf 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. patentsview and r2rtf 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 patentsview alternatives in Analytics are ranked by recent ship velocity. Browse the "patentsview alternatives" section above for the current picks, or visit /alternatives/patentsview for the full list with editorial commentary on each.
Top r2rtf alternatives in Analytics are ranked by recent ship velocity. Browse the "r2rtf alternatives" section above for the current picks, or visit /alternatives/r2rtf for the full list with editorial commentary on each.