tensor-js
Deep learning in the browser with WebGL and WebAssembly acceleration.
Pricing
See website
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
—Overview
What is tensor-js?
tensor-js is a deep learning library designed to run directly in web browsers. It leverages WebGL for GPU acceleration and WebAssembly for high performance, making it ideal for running complex models on client devices without server-side dependencies.
Key differentiator
“tensor-js stands out as one of the few deep learning libraries optimized for client-side execution in web browsers, offering a unique blend of performance and accessibility.”
Capability profile
Strength Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
Fit analysis
Who is it for?
✓ Best for
Teams building web apps where client-side processing is critical for performance or privacy reasons
Educators looking to demonstrate machine learning principles directly within a browser environment
✕ Not a fit for
Projects requiring heavy computational resources that exceed the capabilities of most browsers
Applications needing real-time, high-throughput inference on large datasets
Cost structure
Pricing
Free Tier
None
Starts at
See website
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Next step
Get Started with tensor-js
Step-by-step setup guide with code examples and common gotchas.