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# Apache SystemDS
**Overview:** Apache SystemDS is an open-source machine learning (ML) system for the end-to-end
data science lifecycle from data preparation and cleaning, over efficient ML model training,
to debugging and serving. ML algorithms or pipelines are specified in a high-level language
with R-like syntax or related Python and Java APIs (with many builtin primitives), and the
system automatically generates hybrid runtime plans of local, in-memory operations and distributed
operations on Apache Spark. Additional backends exist for GPUs and federated learning.
Resource | Links
---------|------
**Quick Start** | [Install, Quick Start and Hello World](https://apache.github.io/systemds/site/install.html)
**Documentation:** | [SystemDS Documentation](https://apache.github.io/systemds/)
**Python Documentation** | [Python SystemDS Documentation](https://apache.github.io/systemds/api/python/index.html)
**Issue Tracker** | [Jira Dashboard](https://issues.apache.org/jira/secure/Dashboard.jspa?selectPageId=12335852)
**Status and Build:** SystemDS is renamed from SystemML which is an **Apache Top Level Project**.
To build from source visit [SystemDS Install from source](https://apache.github.io/systemds/site/install.html)
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