{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/5"}],"enrichment":{"capability":"Parses TensorBoard event log files and loads them as pandas DataFrames, supporting scalars, tensors, histograms, images, audio, hparams, and text from PyTorch, Keras/TensorFlow, and TensorboardX.","skillfed_tags":["tensorboard","experiment-tracking","data-extraction"],"use_cases":["Extract training scalars (loss, accuracy) from multiple experiment runs and compare them in a single DataFrame.","Programmatically filter and aggregate hyperparameter search results logged via TensorBoard.","Parse tensorboard event logs into DataFrames for statistical analysis or custom visualization outside the dashboard.","Batch process tensorboard logs from a hierarchical directory structure of experiments.","Build automated pipelines to extract metrics from PyTorch or TensorFlow training runs for downstream reporting."],"what_it_does":"tbparse is a parser that reads TensorBoard event log files and converts them into pandas DataFrames, making it easy to programmatically access and analyze training metrics and other logged data. It supports all major event types (scalars, tensors, histograms, images, audio, hparams, text) and works with logs generated by PyTorch, Keras/TensorFlow, and TensorboardX. The package stores parsed data in DataFrames to enable filtering, aggregation, and custom analysis workflows outside the TensorBoard dashboard.\n\nThe package is designed for researchers and engineers who need to extract and manipulate TensorBoard logs programmatically\u2014for example, to compare experiments across runs, perform statistical analysis, or generate custom plots. It requires only pandas and tensorboard as runtime dependencies, with TensorFlow optionally needed for image and audio parsing. The codebase includes full type hints and high test coverage.","worth_installing":"Yes, if you need to programmatically read and analyze TensorBoard logs. The package is stable, has low install friction, permissive licensing, and no known vulnerabilities. However, note that maintenance is dormant (last release 728 days ago), so compatibility with very recent TensorBoard versions is not guaranteed. It is well-suited for one-off analysis or established workflows but may require monitoring if you adopt it for new projects with cutting-edge tools."},"id":"tbparse","links":{"html":"https://skillfed.io/packages/tbparse","md":"https://skillfed.io/packages/tbparse.md","pypi":"https://pypi.org/project/tbparse/"},"maintenance":{"status":"dormant"},"meta":{"latest_release":"2024-08-16","license_spdx":null,"license_treatment":"permissive","name":"tbparse","python_support":"supports_current","summary":"Load tensorboard event logs as pandas DataFrames; Read, parse, and plot tensorboard event logs with ease!"},"popularity":{"monthly_downloads":308972,"position":7761,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.0.9"}