Log matplotlib visualizations to Neptune

  • Log all matplotlib charts created for the experiment
  • Browse and analyse charts in Neptune
  • Save all custom visualizations that you have for the experiment
Experiments tracking
Experiments sharing in the team
Experiments comparison
Collaboration
Notebooks tracking and sharing
Notebooks comparison
Team management
Open source integrations
Hardware monitoring for experiments
Interactive experiments dashboard

Matplotlib charts tracked in app

Experiment tracking tool that logs matplotlib charts whenever you need them.

Prepare matplotlib visualizations and log them during experiment execution. With this simple integration machine learning experts can associate rich visualizations with experiments.

Simply pass a figure object like this: neptune.log_image(‘my_visual’, plot.gcf()).

Easy logging

  • Log metrics, text, images, files and more to the experiments.
  • Log experiment parameters.
  • Easy integration with Python libraries.

Shareable visualizations

  • All charts visible for team members.
  • Compare across multiple experiments and gain insight.
  • Download charts from UI.

Backed up experiments history

  • All visualizations are stored and secured.
  • Keep all history – review when needed.
  • Secured Intellectual Property (IP).

Register and try it out!