
visdom
fossasia/visdomReal-time visualization and monitoring for AI/ML experiments
PersonalAI & LLM toolingData & analyticsWebDocker / self-hostCLILibrary / SDKPermissiveAt a glance
- stars on GitHub
- 10k
- contributors
- 130+
- last commit
- latest release, 2 months ago
- v0.3.0
- license
- Apache-2.0
About
Visdom is a visualization and monitoring tool designed for scientific experimentation and machine learning workflows. It broadcasts real-time plots, images, embeddings, and metric dashboards from training loops directly to an interactive browser interface. It runs as a Python server via CLI or Docker and integrates into code through a Python client library.
From the repository: “Tool for real-time visualization, monitoring and collaborative analysis of AI/ML experiments and live data. Supports Python, PyTorch/Torch, NumPy, TensorFlow/Keras https://visdom.dev”
Why it's in the catalog
Machine Learning
Downloads
All releases on GitHub ↗Latest release: Release 0.3.0,
Source code only: this release has no files to download.
Alternatives
All alternatives →| Project | Stars | Last commit | License | Worth |
|---|---|---|---|---|
| 10k | Apache-2.0 | 78 | ||
| 18k | MIT | 80 | ||
| 29k | Apache-2.0 | 84 (best) | ||
| 63k (best) | GPL-3.0 | 72 |
▲ marks the most stars and the best worth score.
