Open Source
Apache MXNet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Our verdict
We have not reviewed Apache MXNet yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About Apache MXNet
Apache MXNet is a deep learning framework written in C++ that supports dynamic computation graphs and distributed training across multiple devices. It provides bindings for Python, R, Julia, Scala, Go, and JavaScript, enabling model development and deployment across diverse environments.
Best for
Teams building distributed training pipelines or mobile ML applications who need multi-language flexibility
Use cases
- Training deep learning models on distributed GPU/CPU clusters
- Building mobile and edge inference applications
- Prototyping neural networks in multiple programming languages
Notes
20,809 stars on GitHub. Last updated 2023-10-25. Licensed Apache-2.0.
Pros
- Multi-language support reduces friction for polyglot teams
- Efficient memory usage and mobile deployment capabilities
- Dynamic computation graphs allow flexible model architectures
Cons
- Smaller ecosystem and community compared to PyTorch or TensorFlow
- Documentation and tutorials are less comprehensive
- Fewer pre-trained models and third-party integrations available
Key facts
What we have checked
- Latest version
- 1.9.1 (released 10 May 2022)
- GitHub stars
- 20,808
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
Stars and usage
How Apache MXNet is growing
20,809 to 20,808
Alternatives
Alternatives to Apache MXNet
| Record | Type | How we know | Checked |
|---|---|---|---|
| CaffeAlternative to this | Open source | Named in the listing | Not dated |
| CandleAlternative to this | Open source | Named in the listing | Not dated |
| OneflowAlternative to this | Open source | Named in the listing | Not dated |
| PaddlePaddleAlternative to this | Open source | Named in the listing | Not dated |
| PyTorchAlternative to this | Open source | Named in the listing | Not dated |
| JaxThis is an alternative to it | Open source | Named in the listing | Not dated |
| TensorFlowThis is an alternative to it | Open source | Named in the listing | Not dated |
Compare
Compare Apache MXNet side by side
Sources
Where this comes from
- GitHubOfficial
- github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
Released 1.9.1
Released 1.9.1.rc0
Released 2.0.0.beta1
Released 2.0.0.beta1.rc1
Released 2.0.0.beta1.rc0
Released 2.0.0.beta0.rc0
Released 1.9.0
Released 1.8.0
Released 2.0.0.alpha.rc3
Released 2.0.0.alpha.rc2
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
Caffe
Community
Caffe: a fast open framework for deep learning.
Jax
Community
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
PaddlePaddle
Community
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
PyTorch
Community
Tensors and Dynamic neural networks in Python with strong GPU acceleration
TensorFlow
Community
An Open Source Machine Learning Framework for Everyone
Caffe
Community
Caffe: a fast open framework for deep learning.
Candle
Community
Minimalist ML framework for Rust
Oneflow
Community
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
PaddlePaddle
Community
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
PyTorch
Community
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Pairs with
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