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A new open-source platform, mlop.ai, has emerged as a direct competitor to Weights & Biases (WandB), offering a self-hostable alternative with a strong emphasis on performance and security. The platform boasts API compatibility with WandB, promising a seamless one-line migration for existing users. Mlop.ai aims to address common performance bottlenecks associated with WandB’s logging mechanisms by implementing non-blocking logging and upload functionalities. Developers can easily deploy mlop.ai within their own infrastructure using Docker. Details and community discussion can be found on Reddit (https://old.reddit.com/r/artificial/comments/1kkbco8/mlop_an_fully_oss_alternative_to_wandb/). The project is available on GitHub (github.com/mlop-ai/mlop), PyPI (pypi.org/project/mlop/), and comprehensive documentation is provided at docs.mlop.ai.