Open-source MLOps platform for experiment tracking
Visit WebsiteTL;DR - ClearML
- 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
- Free self-hosted option, cloud plans from $50/month
Pricing: Free plan available
Best for: Growing teams
4.7/5 across review platforms
Pros & Cons
Pros
- MLOps platform
- Experiment tracking
- Data management
- Open source core
- Self-hostable
Cons
- Learning curve
- UI complex
- Documentation dense
- Enterprise expensive
- Smaller community
Ratings Across the Web
4.7(13 reviews)
Ratings aggregated from independent review platforms. Learn more
Key Features
MLOps platformExperiment trackingOrchestrationModel servingSelf-hostedOpen source
Pricing Plans
Free TrialCommunity
Free
Open source
- Up to 3 users
- 100GB storage
- 1M API calls/month
- Experiment tracking
Most Popular
Pro
$15/month per user
Small teams
- Up to 10 users
- 120GB storage
- Cloud autoscaling
- Hyperparameter optimization
Scale
Large teams
- Unlimited users
- Advanced infrastructure
- Priority support
Enterprise
Enterprise
- On-premise deployment
- SSO/SAML
- Dedicated support
What is ClearML?
ClearML tracks machine learning experiments and manages model lifecycle without lock-in. Log metrics, compare runs, manage datasets-MLOps infrastructure you can self-host or run in their cloud.
Experiment tracking captures everything reproducibility requires. Pipeline orchestration handles training workflows. Model serving deploys to production.
ML teams wanting open-source MLOps tools choose ClearML for experiment tracking and pipeline management they control.
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ClearML FAQ
Is ClearML free?
Free self-hosted community edition. Cloud has free tier. Pro from $69/month. MLOps platform.
What is ClearML?
ClearML is an MLOps platform. Experiment tracking, orchestration, and model serving. End-to-end ML lifecycle.
ClearML vs MLflow?
ClearML is more feature-rich. MLflow is simpler. Both handle experiment tracking. ClearML for full MLOps.
What is MLOps?
DevOps for machine learning. Versioning, training pipelines, deployment, monitoring. Makes ML reproducible.
Source: clear.ml