nngraph
Graphical computation for nn library in Torch7
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is nngraph?
nngraph provides graphical computation capabilities for the nn library within Torch7, enabling developers to build and manipulate neural network models with ease.
Key differentiator
“nngraph stands out by providing a powerful graphical computation tool specifically tailored to the Torch7 environment, offering unparalleled flexibility in neural network design and manipulation.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
Torch7 and nngraph are primarily developed in Lua, which may be unfamiliar to many modern developers.
The primary development language is Lua, with no official support for other languages like Python or JavaScript.
Torch7 has seen reduced activity compared to more popular frameworks like TensorFlow or PyTorch, which could limit the availability of resources and support.
The framework is less mature than some alternatives, leading to potential instability in APIs over time.
Fit analysis
Who is it for?
✓ Best for
Developers working with Torch7 who need graphical computation capabilities for their neural networks.
Researchers looking to experiment with complex neural network architectures in a flexible environment.
✕ Not a fit for
Teams requiring real-time streaming or high-frequency data processing, as nngraph is designed for local computation and experimentation.
Projects that require cloud-based services or managed backend solutions, as nngraph operates locally.
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
Integrations
Next step
Get Started with nngraph
Step-by-step setup guide with code examples and common gotchas.