visdom
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy. (by fossasia)
omniboard
Web-based dashboard for Sacred (by vivekratnavel)
| visdom | omniboard | |
|---|---|---|
| 1 | 2 | |
| 9,900 | 538 | |
| 0.2% | - | |
| 5.0 | 0.0 | |
| 7 months ago | over 1 year ago | |
| Python | JavaScript | |
| Apache License 2.0 | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
visdom
Posts with mentions or reviews of visdom.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-09-26.
-
[D] Facebook Visdom vs Google Tensorboard for Pytorch
It seems that some people are still working on it https://github.com/fossasia/visdom
omniboard
Posts with mentions or reviews of omniboard.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-09-26.
-
https://np.reddit.com/r/MachineLearning/comments/pvs8r5/d_facebook_visdom_vs_google_tensorboard_for/hefg131/
I'm using Omniboard (https://github.com/vivekratnavel/omniboard) with Sacred (https://github.com/IDSIA/sacred) for tracking experiments. You can specify custom Observers in Sacred so the model metrics and logs will be saved to a local directory or to a remote DB (e.g., MongoDB). I use a MongoDB database hosted on Atlas. Unlike other suggested options, Sacred and Omniboard are free. Atlas free tier comes with 512MB of free storage which is a huge amount if you're uploading only log files to it.
-
[D] Facebook Visdom vs Google Tensorboard for Pytorch
I'm using Omniboard (https://github.com/vivekratnavel/omniboard) with Sacred (https://github.com/IDSIA/sacred) for tracking experiments. You can specify custom Observers in Sacred so the model metrics and logs will be saved to a local directory or to a remote DB (e.g., MongoDB). I use a MongoDB database hosted on Atlas. Unlike other suggested options, Sacred and Omniboard are free. Atlas free tier comes with 512MB of free storage which is a huge amount if you're uploading only log files to it. ex = Experiment() ex.observers.append(FileStorageObserver(EXPERIMENTS_ROOT)) ex.observers.append(MongoObserver(url=MONGODB_URL, db_name='sacred'))
What are some alternatives?
When comparing visdom and omniboard you can also consider the following projects:
MLflow - Open source platform for the machine learning lifecycle
Sacred - Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.