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Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
https://github.com/apache/arrow

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Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing

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# Apache Arrow



[![Fuzzing Status](https://oss-fuzz-build-logs.storage.googleapis.com/badges/arrow.svg)](https://bugs.chromium.org/p/oss-fuzz/issues/list?sort=-opened&can=1&q=proj:arrow)

[![License](http://img.shields.io/:license-Apache%202-blue.svg)](https://github.com/apache/arrow/blob/main/LICENSE.txt)

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## Powering In-Memory Analytics



Apache Arrow is a development platform for in-memory analytics. It contains a

set of technologies that enable big data systems to process and move data fast.



Major components of the project include:



 - [The Arrow Columnar In-Memory Format](https://arrow.apache.org/docs/dev/format/Columnar.html):

   a standard and efficient in-memory representation of various datatypes, plain or nested

 - [The Arrow IPC Format](https://arrow.apache.org/docs/dev/format/Columnar.html#serialization-and-interprocess-communication-ipc):

   an efficient serialization of the Arrow format and associated metadata,

   for communication between processes and heterogeneous environments

 - [The Arrow Flight RPC protocol](https://github.com/apache/arrow/tree/main/format/Flight.proto):

   based on the Arrow IPC format, a building block for remote services exchanging

   Arrow data with application-defined semantics (for example a storage server or a database)

 - [C++ libraries](https://github.com/apache/arrow/tree/main/cpp)

 - [C bindings using GLib](https://github.com/apache/arrow/tree/main/c_glib)

 - [C# .NET libraries](https://github.com/apache/arrow/tree/main/csharp)

 - [Gandiva](https://github.com/apache/arrow/tree/main/cpp/src/gandiva):

   an [LLVM](https://llvm.org)-based Arrow expression compiler, part of the C++ codebase

 - [Go libraries](https://github.com/apache/arrow/tree/main/go)

 - [Java libraries](https://github.com/apache/arrow/tree/main/java)

 - [JavaScript libraries](https://github.com/apache/arrow/tree/main/js)

 - [Python libraries](https://github.com/apache/arrow/tree/main/python)

 - [R libraries](https://github.com/apache/arrow/tree/main/r)

 - [Ruby libraries](https://github.com/apache/arrow/tree/main/ruby)

 - [Rust libraries](https://github.com/apache/arrow-rs)



Arrow is an [Apache Software Foundation](https://www.apache.org) project. Learn more at

[arrow.apache.org](https://arrow.apache.org).



## What's in the Arrow libraries?



The reference Arrow libraries contain many distinct software components:



- Columnar vector and table-like containers (similar to data frames) supporting

  flat or nested types

- Fast, language agnostic metadata messaging layer (using Google's Flatbuffers

  library)

- Reference-counted off-heap buffer memory management, for zero-copy memory

  sharing and handling memory-mapped files

- IO interfaces to local and remote filesystems

- Self-describing binary wire formats (streaming and batch/file-like) for

  remote procedure calls (RPC) and interprocess communication (IPC)

- Integration tests for verifying binary compatibility between the

  implementations (e.g. sending data from Java to C++)

- Conversions to and from other in-memory data structures

- Readers and writers for various widely-used file formats (such as Parquet, CSV)



## Implementation status



The official Arrow libraries in this repository are in different stages of

implementing the Arrow format and related features.  See our current

[feature matrix](https://arrow.apache.org/docs/dev/status.html)

on git main.



## How to Contribute



Please read our latest [project contribution guide][5].



## Getting involved



Even if you do not plan to contribute to Apache Arrow itself or Arrow

integrations in other projects, we'd be happy to have you involved:



- Join the mailing list: send an email to

  [[email protected]][1]. Share your ideas and use cases for the

  project.

- Follow our activity on [GitHub issues][3]

- [Learn the format][2]

- Contribute code to one of the reference implementations



[1]: mailto:[email protected]

[2]: https://github.com/apache/arrow/tree/main/format

[3]: https://github.com/apache/arrow/issues

[4]: https://github.com/apache/arrow

[5]: https://arrow.apache.org/docs/dev/developers/index.html