Provides guidance for experiment tracking with SwanLab. Use when you need open-source run tracking, local or self-hosted dashboards, and lightweight media logging for ML workflows.
---
name: experiment-tracking-swanlab
description: Provides guidance for experiment tracking with SwanLab. Use when you need open-source run tracking, local or self-hosted dashboards, and lightweight media logging for ML workflows.
version: 1.0.0
author: Orchestra Research
license: MIT
tags: [MLOps, SwanLab, Experiment Tracking, Open Source, Visualization, PyTorch, Transformers, PyTorch Lightning, Fastai, Self-Hosted]
dependencies: [swanlab>=0.7.11, pillow>=9.0.0, soundfile>=0.12.0]
---
# SwanLab: Open-Source Experiment Tracking
## When to Use This Skill
Use SwanLab when you need to:
- **Track ML experiments** with metrics, configs, tags, and descriptions
- **Visualize training** with scalar charts and logged media
- **Compare runs** across seeds, checkpoints, and hyperparameters
- **Work locally or self-hosted** instead of depending on managed SaaS
- **Integrate** with PyTorch, Transformers, PyTorch Lightning, or Fastai
**Deployment**: Cloud, local, or self-hosted | **Media**: images, audio, text, GIFs, point clouds, molecules | **Integrations**: PyTorch, Transformers, PyTorch Lightning, Fastai
## Installation
… load the full skill through Skill Me