wandb-archive is an open-source Python package and command-line tool for publishing durable, queryable archives of Weights & Biases experiments. It supports experiment backup workflows using formats and storage such as Parquet and S3 for ML engineers and researchers.
wandb-archive sits in PulseGate's Backup & disaster recovery category. It focuses on preserving and querying W&B experiment data in durable archive storage. wandb-archive is an open-source project aimed at machine learning engineers and researchers. The project is open source (Apache-2.0). It runs on the command line, and it can be self-hosted.
Open-Athena builds and maintains wandb-archive, and it first shipped in 2026. The project is developed in the open on GitHub with 19 commits in the last 90 days. Key capabilities include experiment archiving, W&B backup, and parquet export.
Summary written by a language model from the project’s public pages.
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