tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
A side-by-side editorial comparison of cloudml and rtflite — release velocity, themes, recent moves, and the top alternatives to consider.
Six years since the last functional change, and Google renamed the service it wraps in the release before that
cloudml lets R users train keras, tfestimators and tensorflow models on Google's managed machine learning service, tune hyperparameters there, and deploy the results. Its last release with functional content was 0.6.1 in September 2019, which adapted to Google renaming the service from ml-engine to ai-platform. The only entry since is a 2025 documentation update made to satisfy CRAN.
rtflite stopped being an RTF writer and became the conversion layer for clinical table output.
rtflite generates the RTF tables clinical study reports are built from, a Python answer to the R tooling that has owned this niche. Over one dense month it grew a full export path: DOCX in 2.2.0, DOCX concatenation in 2.3.0, a configurable LibreOffice converter in 2.4.0, and HTML plus PDF in 2.5.0. The three releases since have been documentation, test infrastructure, and typing work — the feature push has stopped and consolidation has started.
cloudml lets R users train keras, tfestimators and tensorflow models on Google's managed machine learning service, tune hyperparameters there, and deploy the results. Its last release with functional content was 0.6.1 in September 2019, which adapted to Google renaming the service from ml-engine to ai-platform. The only entry since is a 2025 documentation update made to satisfy CRAN.
The visible arc is short and stops abruptly. Releases through 2018 tracked the TensorFlow runtime version and patched packaging problems; 0.6.1 added a customCommands hook so users could run OS-level setup before package installation, and adjusted to the service's new name. Then nothing for six years. A 2025 release containing only documentation changes is the standard signal of a package being kept on CRAN rather than being developed.
There is nothing in this feed to support a prediction of functional work. The most likely next event is another CRAN-driven documentation patch, or archival.
rtflite generates the RTF tables clinical study reports are built from, a Python answer to the R tooling that has owned this niche. Over one dense month it grew a full export path: DOCX in 2.2.0, DOCX concatenation in 2.3.0, a configurable LibreOffice converter in 2.4.0, and HTML plus PDF in 2.5.0. The three releases since have been documentation, test infrastructure, and typing work — the feature push has stopped and consolidation has started.
Every format addition routes through the same LibreOffice converter rather than a per-format implementation, and 2.4.0's breaking change made that converter an injectable object you can configure and reuse. That is the shape of a package expecting to run inside a pipeline that produces hundreds of tables, not one that converts a document at a time. The recent quiet — snapshot tests moved onto `pytest-r-snapshot`, docs migrated, pandas and pyarrow dropped from dev dependencies — reads as work to stay dependency-light while the surface stabilizes.
With the export matrix filled in and three consecutive infrastructure-only releases, the next substantive change is most likely on the input side — table construction and pagination — since `page_by` and `subline_by` are the only feature area still generating bug reports in these notes.
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 cloudml or rtflite.
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 cloudml alternatives → · See all rtflite alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. cloudml and rtflite 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. cloudml and rtflite 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 cloudml alternatives in Analytics are ranked by recent ship velocity. Browse the "cloudml alternatives" section above for the current picks, or visit /alternatives/cloudml for the full list with editorial commentary on each.
Top rtflite alternatives in Analytics are ranked by recent ship velocity. Browse the "rtflite alternatives" section above for the current picks, or visit /alternatives/rtflite for the full list with editorial commentary on each.