Neptune gives you a lot of flexibility and control on what you want to track and analyse.
Log anything you want (metrics, loss, images, model weights), monitor resources, compare experiments interactively and organize them. Use a hosted experiment dashboard available to your entire team at any time!
Guild AI vs Neptune
Which tool is better?
Why Choose Neptune over Guild AI
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.
Show differences only
Guild AI
Neptune
Pricing
Guild AI
Neptune
Pricing
Free
- Free for individuals, non-profit and educational research
- Team: $79 per user
- Team Startup: $39 per user
- Enterprise: custom
Free plan limitations
–
- Free: 1 user
- Unlimited private and public projects
Open-Source
Experiment Tracking Features
Guild AI
Neptune
Notebook Versioning
Environment Versioning
Limited
Notebook Autosnapshots
Logging Resource Consumption
Logging Images and Charts
Limited
Logging Data to Finished Experiment
UI Features
Guild AI
Neptune
User Management
Customizable Experiment Dashboard
Limited
Experiment Organization
Limited
Saving Experiment Views
View Sharing
Run Grouping
Limited
Code diffs
Notebook Diffs
Comments
Reports
Product Features
Guild AI
Neptune
Hosted version available
Scales to millions of runs
Dedicated User Support
Integrations
Guild AI
Neptune
MLflow
Sacred
Amazon SageMaker
Google Colab
Pytorch
LightGBM
fastai
skorch
PyTorch Lightning
PyTorch Ignite
Catalyst
Optuna
Scikit-Optimize
HiPlot
XGBoost
Sklearn
The most lightweight experiment management
tool that fits any workflow
Keeping track of machine learning experiments made simple.
Get startedWhy Neptune is the Best Alternative to Guild AI
ZERO MAINTENANCE
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Is it easy to set up and maintain a Guild AI 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.
USER MANAGEMENT
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Can you manage user permissions in Guild AI?
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.
DASHBOARD VIEWS
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Can you save different experiment dashboard views in Guild AI?
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.
IMAGES DISPLAY
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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!
NOTEBOOK AUTOSNAPSHOTS
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Does Guild AI 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
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Does Guild AI 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
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Does Guild AI 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
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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!
# Skorch
net = NeuralNetClassifier(...callbacks=[NeptuneLogger(...)])
net.fit(X, y)
# Pytorch Ignite
npt_logger = NeptuneLogger(...)
npt_logger.attach(trainer)
trainer.run(...)
# Pytorch Lightning
trainer = Trainer(logger=NeptuneLogger(...))
# Catalyst
runner = SupervisedNeptuneRunner()
runner.train()
# Fastai
learn.callbacks.append(NeptuneMonitor())
learn.fit_one_cycle(...)