tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
Comparison · Analytics
hoardr vs nanoparquet
A side-by-side editorial comparison of hoardr and nanoparquet — release velocity, themes, recent moves, and the top alternatives to consider.
hoardr vs nanoparquet: at a glance
What is hoardr?
A cache-directory helper that has shipped nothing but CRAN-triggered patches for seven years.
hoardr manages local cache directories for other R packages — where files go, how they are keyed, whether they exist. It underpins caching in several rOpenSci data clients. The last functional additions were in 2018; everything since is a patch issued because CRAN reported a test failure or the maintainer changed.
What is nanoparquet?
nanoparquet is chasing byte-level agreement with the Java and Rust Parquet readers, not feature count.
nanoparquet reads and writes Parquet from R with no Arrow dependency, which is its entire reason to exist. The 0.4.0 line renamed the reader API and added schema authoring plus `append_parquet()`, and the 0.5.x releases have gone after interoperability: definition and repetition level encodings the Apache Parquet Java library expects, flatbuffer alignment the Rust arrow-rs reader expects, 128-bit decimals, and Polars-written files that omit the dictionary page offset. The newest release adds `bit64::integer64` columns and writing to stdout.
hoardr vs nanoparquet: editorial side-by-side
hoardr
0.0ANALYTICS
A cache-directory helper that has shipped nothing but CRAN-triggered patches for seven years.
◆ Current state
hoardr manages local cache directories for other R packages — where files go, how they are keyed, whether they exist. It underpins caching in several rOpenSci data clients. The last functional additions were in 2018; everything since is a patch issued because CRAN reported a test failure or the maintainer changed.
◆ Where it's heading
This is infrastructure that has reached its final shape. Three of the last three releases were reactive: two responses to CRAN test-failure notifications, one to a maintainer handover. The single behavioural change in that stretch — forward slashes in paths on every operating system — is a consistency fix for downstream packages rather than a feature. Its release cadence is set by CRAN's checks, not by demand.
◆ Prediction
Expect the next release to be triggered by another CRAN check failure rather than by new functionality, matching every release since 2018.
nanoparquet
0.0ANALYTICS
nanoparquet is chasing byte-level agreement with the Java and Rust Parquet readers, not feature count.
◆ Current state
nanoparquet reads and writes Parquet from R with no Arrow dependency, which is its entire reason to exist. The 0.4.0 line renamed the reader API and added schema authoring plus `append_parquet()`, and the 0.5.x releases have gone after interoperability: definition and repetition level encodings the Apache Parquet Java library expects, flatbuffer alignment the Rust arrow-rs reader expects, 128-bit decimals, and Polars-written files that omit the dictionary page offset. The newest release adds `bit64::integer64` columns and writing to stdout.
◆ Where it's heading
Almost every entry since 0.4.0 names another engine — Java, arrow-rs, Polars, Arrow schema metadata — which tells you the maintainers are treating cross-reader fidelity as the product rather than R-side ergonomics. The type system is filling in from the edges: DECIMAL beyond 8 bytes, UUID, FLOAT16 and INTERVAL as raw lists, and now 64-bit integers with an explicit read-type option instead of a silent cast to double. Writing to `:stdout:` points at a second audience, shell pipelines rather than interactive R.
◆ Prediction
The remaining unmapped Parquet types the changelog has been parking in raw-vector lists — FLOAT16 and INTERVAL — are the obvious next targets, following the same pattern by which DECIMAL and UUID graduated to real R types.
Alternatives to hoardr and nanoparquet
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 hoardr or nanoparquet.
Tplyr
Tplyr made clinical summary tables explain where every number came from.
rlistings
Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.
gigs
gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.
riem
A weather-data client that keeps rewriting its HTTP layer while slowly tightening its API.
datasetjson
datasetjson rebuilt its object model to track the CDISC Dataset-JSON 1.1 schema.
See all hoardr alternatives → · See all nanoparquet alternatives →
Recent activity from hoardr and nanoparquet
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 3mo agonanoparquet64-bit integer columns and writing Parquet to stdout
- 4mo agonanoparquetFiles now readable by the Java and Rust Parquet libraries
- 1y agonanoparquetReads Polars files that omit the dictionary page offset
- 1y agonanoparquetDate, FLOAT, and mixed-encoding read fixes
- 1y agonanoparquetSchema authoring and append_parquet arrive with a renamed API ⚡
- 1y agohoardrPaths use forward slashes on every platform
- 1y agonanoparquetFixes a write_parquet crash
- 2y agohoardrTest-only patch for a CRAN failure
- 3y agohoardrPatch release for maintainer handover
- 7y agohoardrFixes cache paths leaking between HoardClient instances
- 7y agohoardrFile-existence checks and full-path cache configuration
- 9y agohoardrCRAN disk-writing policy compliance
Frequently asked questions
What is the difference between hoardr and nanoparquet?
They serve adjacent needs but don't currently overlap on shipped themes. hoardr and nanoparquet 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.
Is hoardr better than nanoparquet?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. hoardr and nanoparquet 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.
What are the best alternatives to hoardr?
Top hoardr alternatives in Analytics are ranked by recent ship velocity. Browse the "hoardr alternatives" section above for the current picks, or visit /alternatives/hoardr for the full list with editorial commentary on each.
What are the best alternatives to nanoparquet?
Top nanoparquet alternatives in Analytics are ranked by recent ship velocity. Browse the "nanoparquet alternatives" section above for the current picks, or visit /alternatives/nanoparquet for the full list with editorial commentary on each.