Open Source
PaddlePaddle
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）
Our verdict
We have not reviewed PaddlePaddle 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 PaddlePaddle
PaddlePaddle is an open-source deep learning framework written in C++ that supports both single-machine and distributed training across multiple platforms. It provides high-performance model training and deployment capabilities designed for production use at scale.
Best for
Teams building large-scale production ML systems who need distributed training and cross-platform deployment out of the box
Use cases
- Training deep learning models on distributed GPU clusters
- Deploying trained models across different hardware platforms
- Building computer vision and NLP applications with pre-optimized operators
Notes
23,930 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.
Pros
- Mature framework with 23k+ GitHub stars and industrial production use
- Native support for distributed training without extensive configuration
- Cross-platform deployment from training to edge devices
Cons
- Smaller ecosystem and community compared to PyTorch or TensorFlow
- Documentation and tutorials primarily in Chinese, limiting accessibility for English-speaking developers
- Steeper learning curve for developers unfamiliar with its API design
Key facts
What we have checked
- Latest version
- 3.4.0 (released 11 Sept 2026)
- GitHub stars
- 24,104
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 PaddlePaddle is growing
23,930 to 24,104
Alternatives
Alternatives to PaddlePaddle
| 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 |
| MegEngineAlternative to this | Open source | Named in the listing | Not dated |
| MindSporeAlternative to this | Open source | Named in the listing | Not dated |
| OneflowAlternative to this | Open source | Named in the listing | Not dated |
| PyTorchAlternative to this | Open source | Named in the listing | Not dated |
| TensorFlowThis is an alternative to it | Open source | Named in the listing | Not dated |
Compare
Compare PaddlePaddle 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 3.4.0
Released 3.3.0
Released 3.2.2
Released 3.2.0
Released 3.1.1
Released 3.1.0
Released 3.0.0
Released 3.0.0-beta0
Released 2.6.1
Released 2.6.0
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
Apache MXNet
Community
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Caffe
Community
Caffe: a fast open framework for deep learning.
PyTorch
Community
Tensors and Dynamic neural networks in Python with strong GPU acceleration
TensorFlow
Community
An Open Source Machine Learning Framework for Everyone
Apache MXNet
Community
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Caffe
Community
Caffe: a fast open framework for deep learning.
MegEngine
Community
MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架
MindSpore
Community
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
Oneflow
Community
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
PyTorch
Community
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
Get the free Developer’s Field Guide
A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.
Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.