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doap.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://systemds.apache.org/">
<created>2023-09-13</created>
<license rdf:resource="https://spdx.org/licenses/Apache-2.0" />
<name>Apache SystemDS</name>
<homepage rdf:resource="https://systemds.apache.org/" />
<asfext:pmc rdf:resource="https://systemds.apache.org" />
<shortdesc>An open source ML system for the end-to-end data science lifecycle </shortdesc>
<description>Apache SystemDS is a machine learning (ML) system for the end-to-end data science lifecycle from data preparation and cleaning, over efficient ML model training, to scoring and debugging. ML algorithms or pipelines are specified in a high-level language with R-like syntax, or related Python and Java APIs, and the system automatically generates hybrid runtime plans of local, in-memory operations and distributed operations on Apache Spark.</description>
<bug-database rdf:resource="https://issues.apache.org/jira/secure/Dashboard.jspa?selectPageId=12335852" />
<mailing-list rdf:resource="https://systemds.apache.org/community" />
<download-page rdf:resource="https://systemds.apache.org/download" />
<programming-language>C++</programming-language>
<programming-language>Java</programming-language>
<programming-language>Python</programming-language>
<programming-language>R</programming-language>
<category rdf:resource="https://projects.apache.org/category/big-data" />
<category rdf:resource="https://projects.apache.org/category/data-engineering" />
<release>
<Version>
<name>Apache SystemDS 3.1.0</name>
<created>2023-03-13</created>
<revision>3.1.0</revision>
</Version>
</release>
<repository>
<GitRepository>
<location rdf:resource="https://github.com/apache/systemds"/>
<browse rdf:resource="https://github.com/apache/systemds"/>
</GitRepository>
</repository>
</Project>
</rdf:RDF>