Neptune vs Aim


Neptune

Aim
Commercial Requirements
Standalone component

Standalone tool

Can be deployed both on-premises and/or on the cloud, but has to be self-managed
Managed cloud service

Open-source

No
General Capabilities
No special requirements other than having the neptune-client installed and access to the internet if using managed hosting. Check here for infrastructure requirements for on-prem deployment.

Aim is available for Linux/MacOS running python 3.6+
Minimal. Just a few lines of code needed for tracking. Read more

Minimal. Only a few lines of code need to be added
Yes, through the neptune-client library

Yes, through its python API
No

Yes

No

No
No

No
No

No


No

No
Experiment Tracking

No

No



No

No
No

No
No

No
No

N/A
No

N/A
No

N/A

No

No

No

No



Support for activeloop/hub datasets and DVC tracked files

No

No
No

No
No

No

No

No
No

No
No

No
No

No
No

No
No

No

No

No
No

No

No

No
No

No
No

No


No

No


No

No
No

No

No

No



No

No
No

No

No

No
No

No
No

No
No

No
No

No
Model Registry
No

No
No

No
No

No
No

No
No

No
No

No
No

No
No

No
No

No
No

No
No

No
No

No
No

No
No

No
No

No
Integrations and Support
No

No
No

No
No

No
No

No
No

No
No

No
No

No
No

No
No

No
No

No
Report outdated information here.
What are the key advantages of Neptune then?

- Model registry and data versioning functionality
- User management and team collaboration features
- Hosted and sharable environment
- Customizable metadata structure
- Scalability with thousands of runs
See these features in action
Sign up to Neptune and install client library
pip install neptune
Track experiments
import neptune
run = neptune.init_run()
run["params"] = {
"lr": 0.1, "dropout": 0.4
}
run["test_accuracy"] = 0.84
Register models
import neptune
model = neptune.init_model()
model["model"] = {
"size_limit": 50.0,
"size_units": "MB",
}
model["model/signature"].upload(
"model_signature.json")
Thousands of ML people already chose their tool
It only takes 5 minutes to integrate Neptune with your code
Donât overthink it