SwanLab

SwanLab is an AI training tracking and visualization tool that manages experiments, monitors hardware performance, and facilitates team collaboration.

SwanLab is an experiment tracking and visualization platform for AI training. It records hyperparameters, system logs, hardware usage, and code environments, allowing users to compare experiments through centralized tables. Users integrate the tool into training code with a Python API, supporting frameworks like PyTorch, Transformers, and MMEngine. The platform provides a dashboard for reviewing charts and media during and after training. It enables team collaboration by allowing multiple trainers to work on the same project and share experiment links. Researchers can access the platform via web browsers on computers or mobile devices, and an offline mode is available.

SwanLab at a glance

Best for: Software engineer, Researcher
Runs on: Web, CLI
Pricing: Start for FREE
Released: November 2023
Category: AI coding tool
Website: swanlab.cn

Key features

Experiment tracking and version control
Real-time CPU and GPU usage monitoring
Automated logging of terminal print outputs
Centralized experimental tables for comparison
Visual charts for training progress analysis
Team collaboration via project organization
Automated recording of hardware and Python environment info
Offline usage capability

Use it for

Tracking training metrics for Large Language Models
Comparing experiment results across different hyperparameters
Collaborating on AI research projects with team members
Monitoring remote model training sessions from mobile devices
Analyzing hardware performance during training runs

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