fossasia/visdom

Support for Jupyter Notebook

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#682 opened on Oct 15, 2019

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 (4 comments) (0 reactions) (0 assignees)Python (9,831 stars) (1,152 forks)batch import
Needs Investigationhelp wanted

Description

Is your feature request related to a problem? Please describe. I'm always frustrated when I am using visdom in cloud computing resources since it's difficult or not available for me to have an additional port for the visdom visualization. This largely limited my work efficiency.

Describe the solution you'd like While there is a support for Tensorboard with Jupyter Notebook and Jupyter Lab, there is no support for visdom in jupyter notebook. If the visdom can integrate with the Jupyter Notebook or Jupyter Lab such that I can start the visdom in Jupyter Notebook or Jupyter Lab and also visualize the results in Jupyter Notebook, that should be much more convenient and largely reduce the manual work I need to do.

Contributor guide

Tech stack
python
Domain
developer experiencetooling
Issue type
feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
3-5 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
clear
Prerequisites
PythonvisdomJupyter integration concepts
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
30
Research direction
Review the visdom codebase, particularly the server and event loop architecture, and study existing Jupyter notebook integration examples like jupyter tensorboard. Check comments in issue #682 for additional user feedback and potential design constraints. Investigate how visdom currently handles web requests and whether a Jupyter server extension or inline display approach is more feasible.