AI / ML ML Framework mature
Keras
High-level neural network API for fast deep learning prototyping
62.0K stars
1.3K contributors
Since 2015
User-friendly deep learning API integrated into TensorFlow, enabling rapid model prototyping with Sequential and Functional APIs, pre-trained models, and callbacks.
License
Apache-2.0
Min RAM
1 GB
Min CPUs
1 core
Scaling
single_node
Complexity
beginner
Performance
enterprise grade
Self-hostable
✓
K8s native
✕
Offline
✓
Pricing
fully free
Docs quality
excellent
Vendor lock-in
none
Use cases
- ✓ Quick prototyping of neural network architectures
- ✓ Transfer learning with pre-trained ImageNet models
- ✓ Educational ML courses and tutorials
- ✓ Production model training via TensorFlow backend
Anti-patterns / when NOT to use
- ✕ Less control than raw TensorFlow/PyTorch
- ✕ Custom training loops can be awkward
- ✕ Debugging keras layers is indirect
Integrates with
Complements
Replaces / alternatives to
Technical specs
Language
Python
API type
SDK
Protocols
HTTP
Deployment
pip
SDKs
python
Community
GitHub stars 62.0K
Contributors 1.3K
Commit frequency daily
Plugin ecosystem none
Backing Google
Funding corporate
Release
Latest version
— Last release —
Since 2015
Best fit
Team size
solosmallmediumenterprise
Industries
generaleducationresearchhealthcare