TensorBoard vs Neptune Which tool is better?
Neptune gives you a lot of flexibility and control on what you want to track and analyse. Get notebook auto snapshots, organize and share the experiments with your entire team. Manage users in a hosted or on-prem application, and get dedicated user support with Neptune!
Free forever.No credit card.
Why Choose Neptune over TensorBoard?
Neptune can serve all the experiment tracking needs of your team (any language, any framework, any infrastructure) and lets you manage user access and gives you visibility into your team’s progress at any time with a great user-friendly UI.
|Free plan limitations|
|Experiment Tracking Features|
|Customizable Experiment Dashboard|
|Saving Experiment Views|
|Fetching experiments via API|
|Scales to millions of runs|
|Dedicated User Support|
This table has been updated on 28/April/2020. Some information may be outdated.
The most lightweight experiment management tool that fits any workflow
Keeping track of machine learning experiments made simple.
Why Neptune is best alternative to TensorBoard
Is it easy to set up and maintain a TensorBoard server and visualization dashboard for your entire team?
With Neptune you get all your experiment data saved and backed-up on a hosted server or on-prem installation. You can manage user permissions and share experiments in the beautiful UI with no additional overhead. Powerful, simple, and available for you and your team in minutes.
Can you manage user permissions in TensorBoard?
Neptune lets you manage users easily. You can give people access to projects and organizations. Additionally, Neptune gives you control over the user role: admin, contributor or viewer.
Can you save different experiment dashboard views in TensorBoard?
When you have multiple users working on many ideas the things you want to look at change and so should your experiment dashboard. Neptune lets you customize, change, and save experiment dashboard views depending on your needs.
Does it take a while to load thousands of runs in TensorBoard?
Neptune was built to scale and can support millions of experiment runs both in the back-end and front-end.
Does TensorBoard snapshot your Jupyter notebooks automatically?
Neptune notebook integration automatically snapshots your .ipynb whenever you run a cell with neptune.create_experiment() in it. Whether you remember to submit your experiment or not everything will be safely versioned and ready to be explored.
Analyze Experiment Dashboard in Jupyter Notebook
Does TensorBoard let you fetch your experiment dashboard directly to a pandas DataFrame?
With Neptune you can fetch whatever information you or your teammates tracked and explore it however you like. We have some nice exploratory features, like HiPlot integration to help you with that.
neptune.init('USERNAME/example-project') make_parallel_coordinates_plot( metrics= ['eval_accuracy', 'eval_loss',...], params = ['activation', 'batch_size',...])
Notebook Versioning and Diffing
Does TensorBoard let you track your exploratory analysis?
Neptune goes beyond the tracking of machine learning experiments and allows you to version your exploratory data analysis or results exploration as well! Once it is saved in Neptune you can name, share, download or see diffs of your notebook checkpoints.
Integrate with Everything
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Sponsored by Neptune Labs Inc. TensorBoard is a registered trademark of Google LLC. Neptune Labs Inc. is neither affiliated with nor sponsored by Google LLC.