SwanLab is an open-source experiment tracking and visualization platform designed to help machine learning engineers monitor, compare, and analyze the training of artificial intelligence models. The tool records training metrics, hyperparameters, model outputs, and experiment configurations so that developers can easily understand how different experiments perform over time. It provides a modern user interface for visualizing results, enabling teams to compare runs, track model performance trends, and collaborate on machine learning research. SwanLab supports both cloud and self-hosted deployments, allowing organizations to run the system privately or integrate it into shared development environments. The platform integrates with a wide range of machine learning frameworks including PyTorch, Transformers, Keras, and other widely used training ecosystems.

Features

  • Experiment tracking system for recording AI training metrics and parameters
  • Interactive dashboards for visualizing model performance and experiment results
  • Integration with frameworks such as PyTorch, Transformers, and Keras
  • Support for both cloud-based and self-hosted deployments
  • Collaboration tools for comparing experiments across teams
  • Automated logging of training runs and hyperparameter configurations

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License

Apache License V2.0

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Additional Project Details

Programming Language

Python

Related Categories

Python Large Language Models (LLM)

Registered

2026-03-05