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apache/arrow

Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics observed · 2026-08-28

github.com/apache/arrow · homepage · C++ · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

94/100

  • Activity 99
  • Release rhythm 85
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: 63
  • age_days: 3850
  • days_rel: 23
  • days_push: 7
  • n_releases_24m: 12

Full methodology

Adoption not part of the score

17062 stars · 4260 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Apache Arrow is a language-independent columnar in-memory data format specification plus multi-language libraries (C++, Python/PyArrow, Java, Rust, Go, and more) for fast data interchange and in-memory analytics. It includes IPC serialization, the Flight RPC protocol, and readers/writers for formats like Parquet, CSV, and ORC.

Use cases

  • move tabular data between pandas and a database without serialization overhead
  • read and write parquet files fast in python
  • share columnar data between processes with zero-copy
  • build an analytics engine on a standard in-memory format
  • stream large datasets over the network with Arrow Flight
  • exchange data between services written in different languages

When to choose

  • you need high-performance columnar data interchange across languages
  • you process large tabular datasets and want zero-copy, SIMD-friendly memory layouts
  • you need fast Parquet/CSV/ORC IO or Flight RPC for data services

When to avoid

  • you only need simple row-based CRUD with a small dataset
  • your data is deeply mutable and update-heavy rather than analytical scans
  • you need a full end-user application rather than a data library

Facets

library · maturity stable

serialization data-science etl rpc database-driver big-data databases analytics cross-platform cpp python jvm rust go columnar-format parquet in-memory-analytics zero-copy ipc data-interchange data-engineering gpu

10 sources

Member repositories

RepositoryRoleHealth v2
apache/arrowmain94

For agents

markdown · JSON · MCP: product_card(name="apache/arrow")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem