ericjang/tdb

Health v2 · maintenance only

Adoption not part of the score

1350 stars · 139 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

TensorDebugger (TDB) is a visual debugger for TensorFlow deep learning models, combining a Python library with a Jupyter notebook extension. It adds breakpoints on graph ops and tensors plus real-time visualization of data flowing through the computational graph during training.

Use cases

• debug tensorflow models node by node
• set breakpoints on tensors in a computational graph
• visualize weights and gradients during training
• plot histograms of activations in real time
• find training bugs in neural networks faster
• inspect deep learning model internals in jupyter

When to choose

• you are working with older TensorFlow 1.x codebases and want visual graph debugging
• you want real-time plots of tensors while a network trains
• you prefer a Jupyter-based debugging workflow for deep learning

When to avoid

• you use modern TensorFlow, where the official tfdbg debugger is the maintained alternative
• you use PyTorch or other frameworks, since TDB is TensorFlow-specific
• you need actively maintained software with recent fixes

Facets

library · maturity abandoned

machine-learning developer-tools data-visualization deep-learning machine-learning developer-tools data-visualization python browser tensorflow debugger jupyter-notebook visualization breakpoints deep-learning debugging

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