Polyaxon vs Neptune
Which tool is better?
Neptune gives you a lot of flexibility and control on what you want to track and analyse and how you want to do it. It fits into any workflow and is adaptable. Manage users in a hosted or on-prem application, and get dedicated user support with Neptune!
Why Choose Neptune over polyaxon?
Neptune is lightweight (quick to learn and easy to master) and can serve all the experiment tracking needs of your team (any language, any framework, any infrastructure). It lets you manage user access and gives you visibility into your team’s progress at any time with a great user-friendly UI. Polyaxon tries to cover a larger part of the ML lifecycle and because of that is a less focused and heavier solution.
|Free plan limitations||
|Experiment Tracking Features|
|Logging Images and Charts||
|Customizable Experiment Dashboard||
|Saving Experiment Views||
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 Some information may be outdated.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 the Best Alternative to polyaxon
Is it instantaneous to start using polyaxon without contacting sales or setting up a server cluster?
With Neptune you simply register, install an open source neptune-client and you are ready to track experiments and collaborate in a team. 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.
Image Channel Display
Can you scroll through your images and charts?
Neptune lets you log images and charts to multiple image channels and scroll through them to quickly see the progress of your model training. Get a full picture of what is happening in your training and validation loops by leveraging more information!
Does polyaxon 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 polyaxon 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.
metrics= ['eval_accuracy', 'eval_loss',...],
params = ['activation', 'batch_size',...])
Notebook Versioning and Diffing
Does polyaxon 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.
Pytorch Ecosystem Integrations
Do you have to create and maintain custom loggers for Skorch or PyTorch Ignite?
Neptune has integrations with every PyTorch Ecosystem library to let you start tracking your experiments in minutes!
No credit card required. Takes 5 minutes to get started.
Sponsored by Neptune Labs Inc. As far as we know Polyaxon is not a registered trademark of Polyaxon but for clarity, Neptune Labs Inc. is neither affiliated with nor sponsored by Polyaxon.