lanpa/tensorboardX
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
This tool helps machine learning engineers and researchers visualize and track the progress of their deep learning models during training. It takes various data types like scalars, images, audio, and model graphs as input, and outputs interactive dashboards in TensorBoard. This allows users to monitor metrics, debug models, and compare experiments effectively.
7,988 stars. Used by 48 other packages. Actively maintained with 14 commits in the last 30 days. Available on PyPI.
Use this if you are training deep learning models with PyTorch (or similar frameworks like Chainer/MXNet) and need a comprehensive way to visualize metrics and other data during the training process.
Not ideal if you are not working with deep learning models or do not require detailed, interactive visualizations for experiment tracking.
Stars
7,988
Forks
857
Language
Python
License
MIT
Category
Last pushed
Feb 05, 2026
Commits (30d)
14
Dependencies
3
Reverse dependents
48
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