TDB
Visual debugger for deep learning with TensorFlow.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is TDB?
TensorDebugger (TDB) is a visual debugger designed to help developers debug and visualize their deep learning models built with TensorFlow. It provides interactive, node-by-node debugging capabilities that enhance the development process of complex neural networks.
Key differentiator
“TDB stands out by offering an interactive, visual approach to debugging TensorFlow models, making it easier for developers to pinpoint and resolve issues within complex neural networks.”
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
Documentation and community support are primarily focused on TensorFlow 2.x, with minimal updates for newer releases
Interactive node-by-node debugging can significantly slow down the execution of large deep learning models
Fit analysis
Who is it for?
✓ Best for
Developers working with TensorFlow who need detailed debugging capabilities
Data scientists looking to visualize and understand their deep learning models
✕ Not a fit for
Projects that do not use TensorFlow as the primary framework
Teams requiring real-time debugging in a production environment
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
Works well with
Next step
Get Started with TDB
Step-by-step setup guide with code examples and common gotchas.