kaggle-wandb-sync is an open-source command-line tool that transfers offline Weights & Biases runs created in Kaggle Notebooks. It uses GitHub Actions to automate synchronization for machine learning workflows.
In the CLI tools & terminal space, kaggle-wandb-sync takes a focused approach. It focuses on syncing offline Weights & Biases runs from Kaggle Notebooks to a remote W&B workspace. kaggle-wandb-sync is an open-source project aimed at machine learning engineers and data scientists using Kaggle and W&B. The project is open source (MIT). It ships for the command line.
Behind kaggle-wandb-sync is Yasumori Shima, and it first shipped in 2026. Development happens publicly on GitHub with 6 commits in the last 90 days. Among its 6 catalogued features are offline run syncing, kaggle integration, and W&B integration.
Summary written by a language model from the project’s public pages.
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