discover · compare · collections · requirements · contribute · feed · watching · stats · help with your tokens
apache/arrow · source
Snapshot 0 · 2026-11-04T12:47:24Z · C++ · Apache-2.0
Content fingerprint
a8240517de55f26840b8d798cba46d2159ee62cf3a9ea8758565db7fe2db86e7GitHub description at capture
Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics
README at capture
<!---
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this file except in compliance
with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing,
software distributed under the License is distributed on an
"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
KIND, either express or implied. See the License for the
specific language governing permissions and limitations
under the License.
-->
# Apache Arrow
[](https://bugs.chromium.org/p/oss-fuzz/issues/list?sort=-opened&can=1&q=proj:arrow)
[](https://github.com/apache/arrow/blob/main/LICENSE.txt)
[](https://bsky.app/profile/arrow.apache.org)
## Powering In-Memory Analytics
Apache Arrow is a universal columnar format and multi-language toolbox for fast
data interchange and in-memory analytics. It contains a set of technologies that
enable data systems to efficiently store, process, and move data.
Major components of the project include:
- [The Arrow Columnar 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
- [ADBC (Arrow Database Connectivity)](https://github.com/apache/arrow-adbc/) `↗`: Arrow-powered API,
drivers, and libraries for access to databases and query engines
- [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)
- [.NET libraries](https://github.com/apache/arrow-dotnet) `↗`
- [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-go) `↗`
- [Java libraries](https://github.com/apache/arrow-java) `↗`
- [JavaScript libraries](https://github.com/apache/arrow-js) `↗`
- [Julia implementation](https://github.com/apache/arrow-julia) `↗`
- [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) `↗`
- [Swift libraries](https://github.com/apache/arrow-swift) `↗`
The `↗` icon denotes that this component of the project is maintained in a separate
repository.
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][4].
If you are using AI coding tools, please review our
[AI-generated code guidance][7].
## 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
[dev-subscribe@arrow.apache.org][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
## Continuous Integration Sponsors
We use [runs-on][5] for managing the project self-hosted runners.
We use [AWS][6] for some of the required infrastructure for the project.
[1]: mailto:dev-subscribe@arrow.apache.org
[2]: https://github.com/apache/arrow/tree/main/format
[3]: https://github.com/apache/arrow/issues
[4]: https://arrow.apache.org/docs/dev/developers/index.html
[5]: https://runs-on.com/
[6]: https://aws.amazon.com/
[7]: https://arrow.apache.org/docs/dev/developers/overview.html#ai-generated-code