SwanHubX/SwanLab
An experiment tracking and visualization platform for AI model training with integrations for 50+ ML frameworks.
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SwanLab is an open-source experiment tracking tool designed for AI model training teams. It provides visualization dashboards for monitoring training metrics, supports both cloud and self-hosted deployment, and integrates with over 50 popular ML frameworks including PyTorch, Transformers, LLaMA Factory, and Ultralytics. The platform enables experiment comparison, hyperparameter tracking, and collaborative analysis of training runs.
Frequently asked
- What is SwanHubX/SwanLab?
- An experiment tracking and visualization platform for AI model training with integrations for 50+ ML frameworks.
- Is SwanLab open source?
- Yes — SwanHubX/SwanLab is open source, released under the Apache-2.0 license.
- What language is SwanLab written in?
- SwanHubX/SwanLab is primarily written in Python.
- How popular is SwanLab?
- SwanHubX/SwanLab has 4.1k stars on GitHub.
- Where can I find SwanLab?
- SwanHubX/SwanLab is on GitHub at https://github.com/SwanHubX/SwanLab.