Tensorflex
Elixir bindings for TensorFlow, enabling deep learning in Elixir.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is Tensorflex?
Tensorflex provides bindings to use TensorFlow within the Elixir programming language. It allows developers to leverage TensorFlow's powerful machine learning capabilities directly from Elixir applications.
Key differentiator
“Tensorflex uniquely enables Elixir developers to leverage TensorFlow's extensive machine learning capabilities directly within their applications, offering a seamless integration for those working with both technologies.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
Low number of contributors and limited activity on GitHub
Interoperability between Elixir and TensorFlow (Python) can introduce latency
Certain advanced TensorFlow features may not be fully supported or implemented
Requires setting up both Elixir and Python environments, along with proper bindings
Fit analysis
Who is it for?
✓ Best for
Elixir teams looking to integrate TensorFlow for machine learning tasks.
Developers who prefer working with Elixir but need access to TensorFlow's capabilities.
Projects that require seamless integration of TensorFlow within an Elixir ecosystem.
✕ Not a fit for
Teams requiring real-time deep learning inference in production environments.
Projects where the primary language is not Elixir or where TensorFlow bindings are not necessary.
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
Next step
Get Started with Tensorflex
Step-by-step setup guide with code examples and common gotchas.