ClearML vs MLflow: Which is Better in 2026?
Choosing between ClearML and MLflow comes down to understanding what each tool does best. This comparison breaks down the key differences so you can make an informed decision based on your specific needs, not marketing claims.
Short on time? Here's the quick answer
We've tested both tools. Here's who should pick what:
ClearML
Open-source MLOps platform for experiment tracking
Best for you if:
- • You need developer tools features specifically
- • ClearML is an open-source MLOps platform for experiment tracking and model management
- • It automates ML pipelines, tracks experiments, and manages model deployment at scale
MLflow
Manage your ML lifecycle: track, register, and deploy models
Best for you if:
- • You need something completely free
- • You need DevOps features specifically
- • ML experiment tracking and versioning
- • Log metrics, parameters, and artifacts
| At a Glance |  ClearML |  MLflow |
|---|---|---|
Starts at | FreeFree tier available | FreeFree tier available |
Best For | Developer Tools | DevOps |
Rating | 4.7/5 | 4.1/5 |
Free plan | Yes | Yes |
Choose ClearML or MLflow?
Choose ClearML if
Open-source MLOps platform for experiment tracking
- MLOps platform
- Experiment tracking
- Data management
- Your work is developer tools-shaped, not DevOps-shaped
Choose MLflow if
Manage your ML lifecycle: track, register, and deploy models
- Open source
- Experiment tracking
- Model registry
- You want a fully free tool (ClearML requires payment)
- Your work is DevOps-shaped, not developer tools-shaped
| Feature | ClearML | MLflow |
|---|---|---|
| Pricing Model | Freemium | Free |
| User Rating | ★4.7/5 13 reviews | ★4.1/5 208 reviews |
| Categories | Developer ToolsAnalytics | DevOpsDeveloper Tools |
In-Depth Analysis
ClearML
Open-source MLOps platform for experiment tracking
Strengths
- +MLOps platform
- +Experiment tracking
- +Data management
- +Open source core
- +Self-hostable
Weaknesses
- -Learning curve
- -UI complex
- -Documentation dense
- -Enterprise expensive
- -Smaller community
Key features
MLflow
Manage your ML lifecycle: track, register, and deploy models
Strengths
- +Open source
- +Experiment tracking
- +Model registry
- +Deployment support
- +Self-hostable
Weaknesses
- -UI basic
- -Scale limitations
- -Setup required
- -Databricks dependency growing
- -Less modern feel
Key features
Pricing: ClearML vs MLflow
| Plan | ClearML | MLflow |
|---|---|---|
| Tier 1 | Free Community | Free Open Source |
| Tier 2 | $15 month per user Pro | N/A |
| Tier 3 | custom Scale | N/A |
| Tier 4 | custom Enterprise | N/A |
Pricing verified from each vendor's public pricing page. Compare in detail on ClearML pricing and MLflow pricing.
Who Should Use What?
On a budget?
MLflow is free. ClearML is freemium.
Go with: MLflow
Want the highest-rated option?
ClearML: 4.7/5 (13 reviews). MLflow: 4.1/5 (208 reviews).
Go with: ClearML
Value user reviews?
ClearML: 13 reviews (4.7/5). MLflow: 208 reviews (4.1/5).
Go with: MLflow
3 Questions to Help You Decide
What's your budget?
ClearML is freemium. MLflow is free. Go with MLflow if free matters most.
What's your use case?
ClearML is a developer tools tool. MLflow is in DevOps. Pick the category that matches your needs.
How important are ratings?
ClearML is rated higher: 4.7/5 vs 4.1/5.
Key Takeaways
MLflow
- Larger review base (208 reviews)
- Completely free
- Our pick for this comparison
ClearML
- Higher user rating: 4.7/5 vs 4.1/5
- Better fit for developer tools
The Bottom Line
MLflow is our pick.
Frequently Asked Questions
Is ClearML or MLflow better?
MLflow is rated in our evaluation. ClearML is freemium and MLflow is free.
What are ClearML and MLflow used for?
ClearML: Open-source MLOps platform for experiment tracking. MLflow: Manage your ML lifecycle: track, register, and deploy models.
What does ClearML cost vs MLflow?
ClearML is freemium (free tier + paid plans). MLflow is completely free. Visit their websites for detailed pricing.