TensorWatch
A debugging and visualization tool for data science, deep learning, and reinforcement learning in Jupyter Notebook.
What is TensorWatch?
TensorWatch is a debugging and visualization tool for machine learning and data science, developed by Microsoft Research. It enables real-time monitoring of training metrics, interactive querying of live processes, and comprehensive model analysis—all within Jupyter Notebook. It solves the problem of opaque training loops by providing immediate visual feedback and deep insights into model behavior.
Data scientists, machine learning engineers, and researchers who use Python frameworks like PyTorch or TensorFlow and develop models in Jupyter Notebook environments.
Developers choose TensorWatch for its unique lazy logging capability, which allows querying live training without pre-instrumentation, and its extensible stream-based architecture that supports custom visualizations and dashboards beyond standard logging tools.
Overview
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Use Cases
Best For
- Real-time monitoring of loss and accuracy during deep learning training
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