Keras.js
Run Keras models in the browser with GPU support via WebGL 2.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is Keras.js?
Keras.js allows developers to run machine learning models built with Keras directly within web browsers, leveraging WebGL 2 for GPU acceleration. This tool is essential for creating interactive and dynamic web applications that require real-time inference capabilities without server-side processing.
Key differentiator
“Keras.js stands out as a unique solution for running Keras models directly in web browsers, offering real-time inference with GPU acceleration via WebGL 2, which is not commonly available in other similar tools.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Some advanced Keras layers and operations may not be fully supported or optimized in Keras.js
WebGL 2 performance varies widely depending on the device's GPU capabilities, leading to inconsistent inference times
Limited debugging tools and less mature error reporting compared to server-side environments
Fit analysis
Who is it for?
✓ Best for
Developers building web applications that need to perform machine learning inference directly within the browser.
Educators and researchers who want to demonstrate neural network operations in real-time without server dependencies.
✕ Not a fit for
Projects requiring high-performance GPU computations beyond what WebGL can provide.
Applications where model size or complexity exceeds the capabilities of client-side processing.
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Alternatives
Next step
Get Started with Keras.js
Step-by-step setup guide with code examples and common gotchas.