Pachyderm vs Neptune
Which tool is better?

Quick start

Is it instantaneous to start using Pachyderm without contacting sales or setting up a server?

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.

Images 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!

Dashboard Views

Can you save different experiment dashboard views in Pachyderm?

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.

Notebook Autosnapshots

Does Pachyderm 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 Pachyderm 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 Pachyderm 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!