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[Arrow]: Add a DOAP file
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alamb committed Sep 26, 2023
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63 changes: 63 additions & 0 deletions doap_Arrow.rdf
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<?xml version="1.0"?>
<?xml-stylesheet type="text/xsl"?>
<rdf:RDF xml:lang="en"
xmlns="http://usefulinc.com/ns/doap#"
xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
xmlns:asfext="http://projects.apache.org/ns/asfext#"
xmlns:foaf="http://xmlns.com/foaf/0.1/">
<!--
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
https://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.
-->
<Project rdf:about="https://arrow.apache.org">
<created>2023-09-25</created>
<license rdf:resource="https://spdx.org/licenses/Apache-2.0" />
<name>Apache Arrow</name>
<homepage rdf:resource="https://arrow.apache.org" />
<asfext:pmc rdf:resource="https://arrow.apache.org" />
<shortdesc>Apache Arrow defines a language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware like CPUs and GPUs. </shortdesc>
<description>Apache Arrow defines a language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware like CPUs and GPUs. The Arrow memory format also supports zero-copy reads for lightning-fast data access without serialization overhead.

Arrow's libraries implement the format and provide building blocks for a range of use cases, including high performance analytics. Many popular projects use Arrow to ship columnar data efficiently or as the basis for analytic engines.

Libraries are available for C, C++, C#, Go, Java, JavaScript, Julia, MATLAB, Python, R, Ruby, and Rust.

Apache Arrow is software created by and for the developer community. We are dedicated to open, kind communication and consensus decision making. Our committers come from a range of organizations and backgrounds, and we welcome all to participate with us.</description>
<bug-database rdf:resource="https://github.com/apache/arrow/issues" />
<mailing-list rdf:resource="https://arrow.apache.org/community/" />
<download-page rdf:resource="https://arrow.apache.org/install/" />
<programming-language>C</programming-language>
<programming-language>C++</programming-language>
<programming-language>Go</programming-language>
<programming-language>Java</programming-language>
<programming-language>Python</programming-language>
<programming-language>R</programming-language>
<programming-language>Ruby</programming-language>
<programming-language>Rust</programming-language>
<category rdf:resource="https://projects.apache.org/category/big-data" />
<category rdf:resource="https://projects.apache.org/category/database" />
<category rdf:resource="https://projects.apache.org/category/data-engineering" />
<category rdf:resource="https://projects.apache.org/category/library" />
<category rdf:resource="https://projects.apache.org/category/network-client" />
<category rdf:resource="https://projects.apache.org/category/network-server" />
<repository>
<GitRepository>
<location rdf:resource="https://github.com/apache/arrow.git"/>
<browse rdf:resource="https://github.com/apache/arrow"/>
</GitRepository>
</repository>
</Project>
</rdf:RDF>

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