Open Source
PyTorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Our verdict
We have not reviewed PyTorch 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 PyTorch
PyTorch is a Python library for building neural networks using tensors and dynamic computation graphs. It provides strong GPU acceleration through CUDA integration, allowing researchers and engineers to define and train models with flexible, define-by-run semantics.
Best for
ML researchers and engineers building custom neural network architectures with GPU training needs
Use cases
- Training deep learning models with GPU acceleration
- Research prototyping with dynamic neural network architectures
- Building production inference pipelines for computer vision and NLP
Notes
100,318 stars on GitHub. Last updated 2026-06-01.
Pros
- Dynamic computation graphs enable intuitive debugging and flexible model design
- Mature ecosystem with extensive pre-trained models and community libraries
- Strong GPU support with optimized kernels for training at scale
Cons
- Steeper learning curve than some alternatives for beginners
- Production deployment requires additional tooling beyond the core library
- Memory usage can be high for large models without careful optimization
Key facts
What we have checked
- Latest version
- 2.14.1 (released 30 Sept 2026)
- GitHub stars
- 103,341
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 PyTorch is growing
100,318 to 103,341
Alternatives
Alternatives to PyTorch
| Record | Type | How we know | Checked |
|---|---|---|---|
| Apache MXNetAlternative to this | Open source | Named in the listing | Not dated |
| CaffeAlternative to this | Open source | Named in the listing | Not dated |
| CandleAlternative to this | Open source | Named in the listing | Not dated |
| JaxAlternative to this | Open source | Named in the listing | Not dated |
| KerasAlternative to this | Open source | Named in the listing | Not dated |
| MegEngineAlternative to this | Open source | Named in the listing | Not dated |
| MindSporeAlternative to this | Open source | Named in the listing | Not dated |
| NCNNAlternative 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 |
| TensorFlowAlternative to this | Open source | Named in the listing | Not dated |
| VectorFlowAlternative to this | Open source | Named in the listing | Not dated |
Compare
Compare PyTorch 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 2.14.1
Released 2.14.0
Released 2.13.0
Released 2.12.1
Released 2.12.0
Released 2.11.0
Released 2.10.0
Released 2.9.1
Released 2.9.0
Released 2.8.0
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
Apache MXNet
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Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Caffe
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Caffe: a fast open framework for deep learning.
Jax
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Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
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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）
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An Open Source Machine Learning Framework for Everyone
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VectorFlow
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