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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) |
| |
| [](https://github.com/apache/systemds/actions/workflows/build.yml) |
| [](https://github.com/apache/systemds/actions/workflows/documentation.yml) |
| [](https://github.com/apache/systemds/actions/workflows/license.yml) |
| [](https://github.com/apache/systemds/actions/workflows/javaTests.yml) |
| [](https://codecov.io/gh/apache/systemds) |
| [](https://github.com/apache/systemds/actions/workflows/python.yml) |
| [](https://pepy.tech/project/systemds) |
| [](https://pepy.tech/project/systemds) |