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nanoparquet vs tern.rbmi

A side-by-side editorial comparison of nanoparquet and tern.rbmi — release velocity, themes, recent moves, and the top alternatives to consider.

nanoparquet vs tern.rbmi: at a glance

Featurenanoparquettern.rbmi
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesparquet, r-language, interoperability, data-formatspharmaverse, multiple-imputation, cran-maintenance, tabulation
Last editorial update47m ago5h ago
WebsiteVisit →Visit →

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.

Read the full nanoparquet trajectory →

What is tern.rbmi?

Reference-based multiple imputation tables, shipping only what CRAN checks demand.

tern.rbmi renders the output of {rbmi} reference-based multiple imputation analyses into tern tables for clinical reporting. Its three most recent releases exist to satisfy CRAN: restricting vignette builds to gcc, adding V8 to Suggests, and a plain resubmission. No user-facing functionality has changed in the visible window.

Read the full tern.rbmi trajectory →

nanoparquet vs tern.rbmi: editorial side-by-side

N
nanoparquet
ANALYTICS
0.0

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.

T
tern.rbmi
ANALYTICS
0.0

Reference-based multiple imputation tables, shipping only what CRAN checks demand.

◆ Current state

tern.rbmi renders the output of {rbmi} reference-based multiple imputation analyses into tern tables for clinical reporting. Its three most recent releases exist to satisfy CRAN: restricting vignette builds to gcc, adding V8 to Suggests, and a plain resubmission. No user-facing functionality has changed in the visible window.

◆ Where it's heading

This is a thin adapter package and behaves like one — it moves when CRAN or an upstream dependency forces it to. Between 2022 and 2024 the feed shows only version bumps, and the 2025 releases are packaging concerns rather than analysis changes.

◆ Prediction

Expect the next release to be triggered by a CRAN check failure or an {rbmi} update rather than by new tabulation features.

Alternatives to nanoparquet and tern.rbmi

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 nanoparquet or tern.rbmi.

See all nanoparquet alternatives → · See all tern.rbmi alternatives →

Recent activity from nanoparquet and tern.rbmi

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 3mo agonanoparquet64-bit integer columns and writing Parquet to stdout
  2. 4mo agonanoparquetFiles now readable by the Java and Rust Parquet libraries
  3. 1y agotern.rbmiVignette built only under gcc
  4. 1y agotern.rbmiV8 added to Suggests
  5. 1y agonanoparquetReads Polars files that omit the dictionary page offset
  6. 1y agonanoparquetDate, FLOAT, and mixed-encoding read fixes
  7. 1y agonanoparquetSchema authoring and append_parquet arrive with a renamed API
  8. 1y agotern.rbmiCRAN resubmission with dependency and workflow updates
  9. 1y agonanoparquetFixes a write_parquet crash

Frequently asked questions

What is the difference between nanoparquet and tern.rbmi?

They serve adjacent needs but don't currently overlap on shipped themes. nanoparquet and tern.rbmi 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 nanoparquet better than tern.rbmi?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. nanoparquet and tern.rbmi 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 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.

What are the best alternatives to tern.rbmi?

Top tern.rbmi alternatives in Analytics are ranked by recent ship velocity. Browse the "tern.rbmi alternatives" section above for the current picks, or visit /alternatives/tern-rbmi for the full list with editorial commentary on each.