Comet vs Neptune
Which tool is better?
Neptune gives you a better Jupyter Notebook experience, blazing-fast UI that scales to millions of machine learning experiments and more framework integrations than Comet. Get Notebook auto snapshots, customizable experiment views and more with Neptune!
Why Choose Neptune over Comet?
Neptune can serve all the experiment tracking needs of your team (Any language, Any framework, Any infrastructure), it goes beyond monitoring training jobs with Notebook versioning and gives you all that at a better price.
|Free plan limitations||
|Experiment Tracking Features|
|Advanced Experiment Grouping|
|Scales to Millions of Runs|
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 Comet
Is your Comet UI loading slowly when you have thousands of runs?
Neptune was built to scale and can support millions of experiment runs both in the back-end and front-end.
Can you save different experiment dashboard views in Comet?
When you have multiple users working on many ideas the things you want to look at change… and so should your experiment dashboard.
Neptun.ai lets you customize, change, and save experiment dashboard views depending on your needs.
Does Comet snapshot your Jupyter notebooks automatically?
Neptune notebook integration automatically snapshots your .iipynb whenever you run a cell with neptune.create_experiment() in it. Whether you remember to submit your experiment (run experiment.stop()) or not everything will be safely versioned and ready to be explored.
Notebook Versioning and Diffing
Does Comet 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.
Can you track your R experiments in Comet?
Neptune easily integrates with R and makes tracking of your experiments or exploring your teammate’s experiments simple. You and your team are no longer limited to just Python!
init_neptune(project_name = "YOUR/PROJECT",
api_token = "YOURKEY"
create_experiment(name = "training on Sonar",
params = list(tuneLength = 100, model = "rf")
log_metric("Train Accuracy", scores$TrainAccuracy)
No credit card required. Takes 5 minutes to get started.