wooldridge
A textbook data package whose whole job is to stay installable, and whose releases prove how much work that is.
A side-by-side editorial comparison of frontmatter and nuggets — release velocity, themes, recent moves, and the top alternatives to consider.
A small R parser quietly becoming format-agnostic about front matter.
frontmatter extracts and writes YAML or TOML front matter from text documents, with a C++ parser and pluggable YAML and TOML backends. Three releases across six months have taken it from read-only parsing to full roundtrip and then to inferring format automatically. Its scope is deliberately narrow: locating and delimiting the metadata block, and delegating the actual parsing to other packages.
nuggets keeps compounding on the 2.0 rewrite — more pattern families, lighter install.
nuggets searches for association rules, contrasts and other conditional patterns in the GUHA tradition, with a C++ core behind dig() and an interactive explore() app for reading results. Since the 2.0 rewrite of that core, every release has widened the same three surfaces: more pattern families to mine, more of explore() to inspect them in, and steady performance work underneath. The most recent tag optimises dig() on sparse crisp data with a sparse bit chain and adds clustering characteristics to explore() for association rules.
frontmatter extracts and writes YAML or TOML front matter from text documents, with a C++ parser and pluggable YAML and TOML backends. Three releases across six months have taken it from read-only parsing to full roundtrip and then to inferring format automatically. Its scope is deliberately narrow: locating and delimiting the metadata block, and delegating the actual parsing to other packages.
Each release widens the set of files it recognises without widening what it claims to do — standard YAML and TOML fences first, then comment-wrapped R and Python variants and PEP 723 inline script metadata, then shebang-prefixed scripts. The complementary thread is preserving what it found: format and fence type are attached as attributes so a document can be rewritten in the style it arrived in. The remaining rough edge is acknowledged in the notes, since comments and formatting inside the front matter do not survive a roundtrip.
Expect further delimiter styles as they appear in the wild, and likely work on making the roundtrip preserve comments and formatting, which the package currently flags as imperfect.
nuggets searches for association rules, contrasts and other conditional patterns in the GUHA tradition, with a C++ core behind dig() and an interactive explore() app for reading results. Since the 2.0 rewrite of that core, every release has widened the same three surfaces: more pattern families to mine, more of explore() to inspect them in, and steady performance work underneath. The most recent tag optimises dig() on sparse crisp data with a sparse bit chain and adds clustering characteristics to explore() for association rules.
Two forces are shaping the package. One is coverage: baseline, complement and paired-baseline contrasts, correlations, tautologies, ancestors and clustering have all been added as first-class dig_ or explore_ surfaces, so the same search engine now answers a widening set of questions. The other is weight — Shiny packages moved from Imports to Suggests, BH and RcppThread dropped, XSIMD updated, parse_condition() rewritten in C++ — which keeps a package with an interactive app from forcing that app's dependencies on every user. Deprecations are handled through lifecycle rather than removed abruptly.
Expect the sparse-data optimisation to extend from crisp to fuzzy data, and explore() to keep gaining tabs as each new pattern family lands, on the roughly six-week cadence the 2.2 line has held.
Other Infra & APIs 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 frontmatter or nuggets.
A textbook data package whose whole job is to stay installable, and whose releases prove how much work that is.
A graph-centrality package that spent 2026 making its existing measures usable at scale, then went quiet.
A test-theory package that grew into a graphical-model toolkit, now spending its releases paying down the API debt that growth created.
projoint spent a year on CRAN paperwork, then shipped a correctness fix it flagged itself.
eratosthenes spends 0.1.0 hardening inputs rather than adding chronology methods.
dqcheckr adds drift analysis, then removes the YAML a user had to hand-write.
See all frontmatter alternatives → · See all nuggets alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Infra & APIs. nuggets is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. 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. nuggets is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
Top frontmatter alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "frontmatter alternatives" section above for the current picks, or visit /alternatives/frontmatter for the full list with editorial commentary on each.
Top nuggets alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "nuggets alternatives" section above for the current picks, or visit /alternatives/nuggets for the full list with editorial commentary on each.