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fossasia/visdom

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 observed · 2026-08-28

github.com/fossasia/visdom · homepage · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

67/100

  • Activity 99
  • Release rhythm 8
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3507
  • days_rel: n/a
  • days_push: 7
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

10282 stars · 1248 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Visdom is a Python tool for real-time visualization, monitoring, and collaborative analysis of live data and ML experiments. It provides a web-based UI with draggable windows for plots, images, and text, organized into persistent environments for building dashboards and debugging experiments.

Use cases

  • visualize training curves of pytorch experiments in real time
  • monitor live data plots from a remote server
  • share experiment dashboards with collaborators
  • debug machine learning code by inspecting intermediate results
  • plot images and text during model training
  • build dashboards for live scientific data

When to choose

  • you train models with PyTorch, TensorFlow, or NumPy and want lightweight live plotting
  • you need to monitor experiments running on remote machines
  • you want a shareable web UI for collaborative experiment inspection

When to avoid

  • you need full experiment-tracking with metrics versioning and model registries like MLflow or W&B
  • you only need static publication-quality plots
  • your project is not Python-based

Facets

library · maturity active

data-visualization monitoring analytics data-visualization machine-learning data-science developer-tools python cross-platform pytorch tensorflow experiment-tracking dashboards live-data plotting web-server

2 sources

Member repositories

RepositoryRoleHealth v2
fossasia/visdommain67

For agents

markdown · JSON · MCP: product_card(name="fossasia/visdom")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem