14 best Python Architecture libraries in 2025
by marketing.admin@openweaver.com 
Updated: Mar 1, 2023
Guide Kit
Python Architecture libraries have a lot of great features. They can be used to easily build a complete application from scratch or to augment existing code. The biggest advantage is that these libraries abstract away some of the details of the underlying architecture and make it easier to write applications that take advantage of all of their features. The best part about these libraries is that they are open source, so anyone can contribute if they want to improve them or make them better. The Python Architecture libraries offer a set of common building blocks for machine learning and AI applications. These libraries are used to implement the architecture of many different types of algorithms in the field of artificial intelligence. The ENAS-pytorch library is a Python interface to the Semantic Segmentation and Detection (ENAS) framework. This library allows users to segment images into different classes by using a pre-trained model trained on TensorFlow objects. Developers tend to use some of the following open source Python Architecture libraries
diagramsby mingrammer
30062 Version:v0.23.3:art: Diagram as Code for prototyping cloud system architectures
diagramsby mingrammer
Python 30062 Version:v0.23.3 License: Permissive (MIT)
nniby microsoft
12981 Version:v3.0rc1An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
nniby microsoft
Python 12981 Version:v3.0rc1 License: Permissive (MIT)
Tensorflow-Project-Templateby MrGemy95
3558 Version:CurrentA best practice for tensorflow project template architecture.
Tensorflow-Project-Templateby MrGemy95
Python 3558 Version:Current License: Permissive (Apache-2.0)
dartsby quark0
3739 Version:CurrentDifferentiable architecture search for convolutional and recurrent networks
dartsby quark0
Python 3739 Version:Current License: Permissive (Apache-2.0)
pytorch-semsegby meetps
3304 Version:v0.1.2Semantic Segmentation Architectures Implemented in PyTorch
pytorch-semsegby meetps
Python 3304 Version:v0.1.2 License: Permissive (MIT)
pytorch-semsegby meetshah1995
3054 Version:v0.1.2Semantic Segmentation Architectures Implemented in PyTorch
pytorch-semsegby meetshah1995
Python 3054 Version:v0.1.2 License: Permissive (MIT)
ENAS-pytorchby carpedm20
2612 Version:CurrentPyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
ENAS-pytorchby carpedm20
Python 2612 Version:Current License: Permissive (Apache-2.0)
Awesome-AutoDLby D-X-Y
2116 Version:CurrentAutomated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)
Awesome-AutoDLby D-X-Y
Python 2116 Version:Current License: Permissive (MIT)
lip-reading-deeplearningby astorfi
1730 Version:1.2:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures
lip-reading-deeplearningby astorfi
Python 1730 Version:1.2 License: Permissive (Apache-2.0)
enasby melodyguan
1564 Version:CurrentTensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"
enasby melodyguan
Python 1564 Version:Current License: Permissive (Apache-2.0)
aws-well-architected-labsby awslabs
1807 Version:CurrentHands on labs and code to help you learn, measure, and build using architectural best practices.
aws-well-architected-labsby awslabs
Python 1807 Version:Current License: Permissive (Apache-2.0)
clean-architectureby Enforcer
385 Version:CurrentExample project showing off clean/hexagonal architecture concepts in Python
clean-architectureby Enforcer
Python 385 Version:Current License: Permissive (MIT)
kic-reference-architecturesby nginxinc
575 Version:v1.2.0MARA: Modern Application Reference Architecture
kic-reference-architecturesby nginxinc
Python 575 Version:v1.2.0 License: Permissive (Apache-2.0)