tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
A side-by-side editorial comparison of nodbi and tinkr — release velocity, themes, recent moves, and the top alternatives to consider.
One document API over six databases, and every release is spent absorbing their JSON engines' churn
nodbi presents a single document-store interface — docdb_create, docdb_query, docdb_update — over SQLite, DuckDB, PostgreSQL, MongoDB, CouchDB and Elasticsearch. The engineering reality behind that abstraction is that each backend's JSON support keeps moving, and the releases show it: jsonb_tree adopted as RSQLite 2.4.4 exposes it, json_tree reworked for DuckDB 1.3.0, then avoided entirely for DuckDB listfields because it was too slow. The 0.11.0 release in late 2024 is the one that changed the contract, making docdb_query() return columns of a single consistent type.
Markdown round-tripping through XML, where every release is another thing it learned not to mangle.
tinkr parses Markdown into XML, lets callers manipulate it with XPath, and writes it back out — the yarn R6 class is the whole interface. Its development is defined by a single hard problem: surviving the round trip without corrupting syntax the XML representation does not natively model. Maintenance is shared between two active contributors and release cadence is roughly annual.
nodbi presents a single document-store interface — docdb_create, docdb_query, docdb_update — over SQLite, DuckDB, PostgreSQL, MongoDB, CouchDB and Elasticsearch. The engineering reality behind that abstraction is that each backend's JSON support keeps moving, and the releases show it: jsonb_tree adopted as RSQLite 2.4.4 exposes it, json_tree reworked for DuckDB 1.3.0, then avoided entirely for DuckDB listfields because it was too slow. The 0.11.0 release in late 2024 is the one that changed the contract, making docdb_query() return columns of a single consistent type.
Two threads dominate. The first is performance, pursued backend by backend: fast direct NDJSON import moved from DuckDB-only to SQLite and PostgreSQL, query refactors chasing each DuckDB release, and the removal of expensive tree-walking where a cheaper path exists. The second is making results predictable — consistent column types, version checks on the database backend, clearer messages when a Postgres database does not exist yet or when column names contain the dots nodbi reserves for JSON paths.
Given that most recent releases are triggered by DuckDB and RSQLite version changes, the next one likely follows the same pattern — adopting a new JSON function or working around a slow one. The duplicate-_id handling added in 0.14.0 suggests NDJSON ingestion edge cases are the current active area.
tinkr parses Markdown into XML, lets callers manipulate it with XPath, and writes it back out — the yarn R6 class is the whole interface. Its development is defined by a single hard problem: surviving the round trip without corrupting syntax the XML representation does not natively model. Maintenance is shared between two active contributors and release cadence is roughly annual.
Each release extends the set of constructs that get protected across the round trip — curly braces, escaped brackets, inline math, dollar signs used as currency, French-style dollars, fenced divs, frontmatter. The 0.3.0 notes also add get_protected(), append_md(), and prepend_md(), which is the first sign of building a manipulation API on top of the protection machinery rather than only widening it.
Expect the protection list to keep growing toward full Quarto syntax coverage, which the first release named as the long-term goal and which fenced divs and frontmatter both move toward.
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 nodbi or tinkr.
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.
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — ropensci — within Analytics. nodbi and tinkr 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. nodbi and tinkr 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 nodbi alternatives in Analytics are ranked by recent ship velocity. Browse the "nodbi alternatives" section above for the current picks, or visit /alternatives/nodbi for the full list with editorial commentary on each.
Top tinkr alternatives in Analytics are ranked by recent ship velocity. Browse the "tinkr alternatives" section above for the current picks, or visit /alternatives/tinkr for the full list with editorial commentary on each.