Best Open Source Alternatives to Weights & Biases
Looking for open source alternatives to Weights & Biases? Here are our top picks. These projects offer similar features with transparency and community support.
Projects (4)
clearml/clearml
ClearML streamlines AI/ML/LLM workflows with integrated experiment tracking, data management, MLOps/LLMOps orchestration, and model serving.
aimhubio/aim
An open-source tool designed to log, compare, and observe machine learning training runs and AI metadata with an intuitive UI and programmatic API.
transformerlab/transformerlab-app
An open-source platform designed for AI researchers to unify fragmented ML tooling, enabling seamless training, evaluation, and scaling of models from local hardware to GPU clusters.
SwanHubX/SwanLab
SwanLab is an open-source, modern-design platform for tracking, visualizing, and analyzing AI/ML training experiments, supporting cloud and self-hosted deployments.
FAQ
Why look for open source alternatives to Weights & Biases?
Open source alternatives offer transparency, avoid vendor lock-in, and are often free or self-hosted.
Are these projects secure?
Source code is public for auditing. High-star projects with active communities are generally very secure.