ClearML
The open source, end-to-end MLOps platform.
Overview
ClearML is an open-source MLOps platform that helps data scientists and machine learning engineers manage and automate their entire machine learning workflow. It provides tools for experiment tracking, data management, model repository, orchestration, and deployment, with a focus on reproducibility and collaboration.
✨ Key Features
- Open-source and self-hostable
- Experiment tracking and management
- Data versioning and management
- Model repository and management
- Orchestration and automation of ML pipelines
- Model deployment and serving
🎯 Key Differentiators
- Open-source and end-to-end platform
- Strong focus on automation and orchestration
Unique Value: ClearML provides an open-source and end-to-end solution for MLOps, enabling teams to manage and automate their entire machine learning workflow, from experiment to production.
🎯 Use Cases (4)
✅ Best For
- Reproducible research and development in machine learning
- End-to-end MLOps for enterprise machine learning
- CI/CD for machine learning
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Users looking for a no-code or low-code platform
🏆 Alternatives
As an open-source platform, ClearML offers more flexibility and control compared to proprietary solutions, and its end-to-end capabilities provide a more integrated experience than using multiple point solutions.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Dedicated Support (Enterprise tier)
🔒 Compliance & Security
💰 Pricing
✓ 14-day free trial
Free tier: Self-hosted open-source version is free. Cloud version has a free tier with limited usage.
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