Writing tensorboard event logs is easy, but reading tensorboard event logs requires a lot of code and effort. Therefore, I wrote a Python package aiming to make the reading process as simple as possible. Here's some of the features of tbparse: - Supports parsing tensorboard event scalars, tensors, and histograms. - Supports event generated by PyTorch, Tensorboard/Keras, and TensorboardX, with their respective usage examples documented in detail. - Allows parsing multiple tensorboard event files in a hierarchical directory structure. - Provides plotting examples for each type of events. - Stores the data in pandas.DataFrame to allow advanced filtering. - Both the documentation and code have high test coverage rate. - Follows PEP 484 with full type hints. I'm open to suggestions and feature requests! :)

tbparse

A simple yet powerful tensorboard event log parser/reader

A simple yet powerful tensorboard event log parser/reader

tbparse

A simple yet powerful tensorboard event log parser/reader

A simple yet powerful tensorboard event log parser/reader

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