Omniboard Alternatives

Similar projects and alternatives to omniboard

MLflow

54 17,234 9.9 Python omniboard VS MLflow

Open source platform for the machine learning lifecycle
clearml

20 5,217 8.1 Python omniboard VS clearml

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
SurveyJS

surveyjs.io sponsored

Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.
Sacred

6 4,155 3.5 Python omniboard VS Sacred

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
visdom

1 9,894 5.0 Python omniboard VS visdom

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy. (by fossasia)

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better omniboard alternative or higher similarity.

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omniboard reviews and mentions

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/
2 projects | /r/backtickbot | 26 Sep 2021

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
5 projects | /r/MachineLearning | 26 Sep 2021

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'))