What is a .Arrow file?
Arrow is an in-memory columnar data format for fast analytics across languages.
- Did you know
- Apache Arrow lets tools share data in memory without slow conversions.
- Apache Arrow grew out of work by pandas creator Wes McKinney and Dremio’s Jacques Nadeau to end costly data conversion between systems.
- Arrow’s columnar layout supports zero-copy reads, letting more than ten languages share the same in-memory data without serialising it.
- What Analyser reads
- Identify and read developer and data-serialisation files: dependency lockfiles (npm/Yarn/pnpm/Cargo/Poetry/Bundler/Composer - locked-package count), binary serialisations (MessagePack, CBOR, BSON, raw Protobuf messages and descriptor sets), Python pickles with a security note, NumPy .npz and Java jar/war/ear archives, IDL schemas (FlatBuffers/Thrift/Cap n Proto/HCL), MATLAB MAT-files, Redis RDB dumps and columnar big-data containers (Apache Arrow/Feather, Parquet, ORC). The JSON supersets JSON5/JSONC/Hjson now open in a full viewer - see Notebooks & data above.
- Depth of analysis
- .Arrow is an identification-grade format: Analyser recognises it from its bytes and decodes the header metadata it carries, rather than opening it in a full viewer. Formats that do get a full viewer are marked "Full" on the formats page.
- Open a .Arrow file
- Drag a .Arrow file onto the Analyser home page (or tap to pick one). It is identified entirely in your browser - nothing is uploaded, there is no account, and it works offline once installed.