Decision Support · Side-by-side
Compare pricing, strengths, and use cases so it is easier to pick the right fit.
Change tools
For everyday users who just want to track experiments and deploy models without managing infrastructure, MLflow is the better choice because it's free, open-source, and works with any tool you already use. ClearML offers a more polished all-in-one platform but costs money and requires more setup, making it better suited for small teams with a budget. The single biggest difference: MLflow is free and vendor-agnostic, while ClearML bundles everything but charges per user.
ClearML
MLflow
Scores at a glance
Choose ClearML if
Choose MLflow if
Key differences
Facts side by side
| ClearML | MLflow | |
|---|---|---|
| Free plan | ||
| Mobile app | ||
| API access |
Common questions
Not necessarily. ClearML is easier to get started with because it auto-logs everything, but you'll hit a paywall for team features. MLflow is free but requires you to set up a tracking server, which is a bit more work upfront.
No. Neither tool has a mobile app, so you need a laptop or desktop to view experiments or deploy models.
ClearML has a built-in deployment engine (GenAI App Engine) that makes deployment easier. MLflow can deploy models as REST endpoints, but you need to set up the serving infrastructure yourself or use a cloud plugin.
Yes, both require you to write Python code to integrate them into your training scripts. They are not no-code tools.
MLflow is more widely adopted because it's open source and backed by Databricks. ClearML is growing but has a smaller community.
MLflow wins for budget-conscious individuals with its free, flexible approach; ClearML wins for teams wanting a polished all-in-one platform at a monthly cost.
If you're just starting out and don't want to spend money, go with MLflow — it's free, flexible, and works with everything. If you have a small team and want a more polished, all-in-one experience with built-in resource management, ClearML is worth the $15/user/month. Either way, you'll need to be comfortable writing a bit of Python code.
