# Apache MXNet

> multi-language machine learning library

**Wikidata**: [Q22348165](https://www.wikidata.org/wiki/Q22348165)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Apache_MXNet)  
**Source**: https://4ort.xyz/entity/apache-mxnet

## Summary
Apache MXNet is a multi-language machine learning library designed for heterogeneous distributed systems. Developed by the Apache Software Foundation, it is a free software product licensed under the Apache Software License 2.0. The library is notable for its flexibility and efficiency, supporting deep learning deployment across various operating systems, including Microsoft Windows.

## Key Facts
- **Entity Type:** Software library / Free software
- **Developer:** Apache Software Foundation
- **License:** Apache Software License 2.0 (Apache License)
- **Primary Field:** Machine Learning
- **Aliases:** mix-net
- **Project ID:** incubator-mxnet
- **Latest Stable Version:** 1.9.1 (released May 10, 2022)
- **Operating System:** Runs on Microsoft Windows
- **Source Code Repository:** `https://github.com/apache/incubator-mxnet` and `https://github.com/apache/mxnet`
- **Official Websites:** `https://mxnet.apache.org` and `https://mxnet.readthedocs.org/en/latest/`
- **Quality Assurance:** Continuous integration (via Travis CI)

## FAQs
**Q: What is Apache MXNet used for?**
Apache MXNet is utilized as a flexible and efficient machine learning library, specifically designed to operate on heterogeneous distributed systems.

**Q: Under what license is Apache MXNet distributed?**
The library is distributed under the Apache Software License 2.0, classified as free software.

**Q: What is the most recent version of Apache MXNet?**
The most recent stable version referenced in the development history is 1.9.1, which was published on May 10, 2022.

**Q: On which platforms does Apache MXNet operate?**
Apache MXNet is capable of running on Microsoft Windows, a family of proprietary operating systems developed by Microsoft that manages computer hardware resources.

## Why It Matters
Apache MXNet serves as a critical tool in the field of machine learning by offering a "flexible and efficient" solution for heterogeneous distributed systems. By supporting multi-language accessibility and operating under the Apache Software Foundation, it lowers the barrier to entry for developing complex deep learning models. Its compatibility with major operating systems like Microsoft Windows ensures it can be integrated into diverse computing environments, from personal desktops to enterprise servers. The project exemplifies open-source collaboration, maintained via public repositories and rigorous continuous integration standards.

## Notable For
- **Multi-Language Support:** Described as a "multi-language" library, allowing for broad usability across different programming environments.
- **Distributed Efficiency:** Specifically cited as a "Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems."
- **Open Source Stewardship:** Maintained by the Apache Software Foundation, relying on open-source licenses (Apache License).
- **Active Development Cycle:** Maintained a frequent release schedule from version 0.7.0 (May 2016) through version 1.9.1 (May 2022).
- **Cross-Platform Compatibility:** Supports deployment on Microsoft Windows, the dominant proprietary operating system family.

## Body
### Overview and Identity
Apache MXNet is a software library identified by the alias "mix-net" and the Apache project ID "incubator-mxnet." It is categorized as free software and a machine learning library. It is described by its source text as a "multi-language machine learning library" suitable for heterogeneous distributed systems.

### Development and Licensing
The project is developed by the **Apache Software Foundation**. It operates under the **Apache Software License 2.0**, a widely used free software license. Development is transparent and managed through public source code repositories hosted on GitHub at `https://github.com/apache/incubator-mxnet` and `https://github.com/apache/mxnet`. The project maintains rigorous **software quality assurance**, utilizing continuous integration tools referenced via Travis CI (`https://travis-ci.org/dmlc/mxnet`).

### Release History
The development of Apache MXNet is marked by a frequent release schedule spanning several years. Early releases include version 0.7.0 (May 26, 2016) and version 0.8.0 (December 28, 2016). Subsequent years saw multiple stable versions, including:
- **2017:** Versions 0.9.3, 0.10.0, 0.11.0, 0.12.0, 0.12.1, and 1.0.0.
- **2018:** Versions 1.1.0, 1.2.0, 1.2.1, 1.3.0, 1.3.1.
- **2019:** Versions 1.4.0, 1.4.1, 1.5.0, 1.5.1.
- **2020:** Versions 1.6.0, 1.7.0, and a specific release of 0.9.2.
- **2021:** Versions 1.8.0 and 1.9.0.
- **2022:** The latest referenced stable version is **1.9.1**, released on May 10, 2022.

### Platform and Operating System
Apache MXNet is designed to run on **Microsoft Windows**. Microsoft Windows is a family of computer operating systems developed by Microsoft. It was first released on November 20, 1985, and is characterized by a proprietary license model. As an operating system, Windows manages computer hardware resources and supports various architectures including IA-32, ARM, MIPS, PowerPC, and DEC Alpha. The compatibility of Apache MXNet with this platform allows it to operate on the widely adopted desktop and server environments maintained by Microsoft.

### Documentation and Resources
Documentation and further details regarding the library can be found at its official website `https://mxnet.apache.org` and its read-only documentation site `https://mxnet.readthedocs.org/en/latest/`. The project maintains a presence on Quora under the topic "MXNet" and is indexed in the Google Knowledge Graph with the ID `/g/11css70pwy`. It is also described in the academic paper titled *"MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems."*

## References

1. MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems
2. [Source](https://github.com/dmlc/mxnet)
3. [2025](https://github.com/EvanLi/Github-Ranking/blob/master/Data/github-ranking-2025-07-06.csv)
4. [Source](https://api.github.com/repos/dmlc/mxnet/releases)
5. [Source](https://api.github.com/repos/apache/incubator-mxnet/releases)
6. [Release 0.8.0. 2016](https://github.com/apache/incubator-mxnet/releases/tag/v0.8.0)
7. [Release 0.7.0. 2016](https://github.com/apache/incubator-mxnet/releases/tag/v0.7.0)
8. [Release 0.9.3. 2017](https://github.com/apache/incubator-mxnet/releases/tag/v0.9.3)
9. [Release 0.10.0. 2017](https://github.com/apache/incubator-mxnet/releases/tag/v0.10.0)
10. [Release 0.10.0. 2017](https://github.com/apache/incubator-mxnet/releases/tag/0.10.0.post2)
11. [Release 0.11.0. 2017](https://github.com/apache/incubator-mxnet/releases/tag/0.11.0)
12. [Release 0.12.0. 2017](https://github.com/apache/incubator-mxnet/releases/tag/0.12.0)
13. [Release 0.12.1. 2017](https://github.com/apache/incubator-mxnet/releases/tag/0.12.1)
14. [Release 1.0.0. 2017](https://github.com/apache/incubator-mxnet/releases/tag/1.0.0)
15. [Release 1.1.0. 2018](https://github.com/apache/incubator-mxnet/releases/tag/1.1.0)
16. [Release 1.2.0. 2018](https://github.com/apache/incubator-mxnet/releases/tag/1.2.0)
17. [Release 1.2.1. 2018](https://github.com/apache/incubator-mxnet/releases/tag/1.2.1)
18. [Release 1.3.0. 2018](https://github.com/apache/incubator-mxnet/releases/tag/1.3.0)
19. [Release 1.3.1. 2018](https://github.com/apache/incubator-mxnet/releases/tag/1.3.1)
20. [Release 1.4.0. 2019](https://github.com/apache/incubator-mxnet/releases/tag/1.4.0)
21. [Release 1.4.1. 2019](https://github.com/apache/incubator-mxnet/releases/tag/1.4.1)
22. [Release 1.5.0. 2019](https://github.com/apache/incubator-mxnet/releases/tag/1.5.0)
23. [Release 1.5.1. 2019](https://github.com/apache/incubator-mxnet/releases/tag/1.5.1)
24. [Release 1.6.0. 2020](https://github.com/apache/incubator-mxnet/releases/tag/1.6.0)
25. [Release 0.9.2. 2020](https://github.com/apache/incubator-mxnet/releases/tag/v0.9.2)
26. [Release 1.7.0. 2020](https://github.com/apache/incubator-mxnet/releases/tag/1.7.0)
27. [Release 1.8.0. 2021](https://github.com/apache/incubator-mxnet/releases/tag/1.8.0)
28. [Release 1.9.0. 2021](https://github.com/apache/incubator-mxnet/releases/tag/1.9.0)
29. [Release 1.9.1. 2022](https://github.com/apache/incubator-mxnet/releases/tag/1.9.1)
30. [Source](https://api.github.com/repos/apache/incubator-mxnet)
31. [Source](https://github.com/apache/mxnet)
32. Quora