clearml
ClearML is an automated CI/CD tool designed to simplify AI workflows.
- Region
- Overseas
- Pricing
- Free + Paid
- Open source
- Yes
- GitHub Stars
- ★ 6.7k
- Source
- GitHub
- Added
- 2026-06-16
- Last verified
- 2026-06-16

Overview
ClearML is a machine learning and deep learning development and production suite. It consists of five core modules: experiment management, MLOps/LLMOps, data management, model serving, and reporting. With ClearML, users can easily track experiments, manage data, automate pipelines, schedule tasks, and deploy models. ClearML is ideal for data scientists and engineers who need efficient and automated AI workflow management.
Key features
- ▪Automated experiment tracking and management
- ▪MLOps/LLMOps support for Kubernetes and cloud platforms
- ▪Comprehensive data management and version control
- ▪Scalable model serving solutions
- ▪Rich reporting and visualization capabilities
Use cases
Pros
- +Powerful experiment management and tracking capabilities
- +Supports multiple computing environments (Kubernetes, cloud, bare metal)
- +Comprehensive data management and version control
- +Easy to integrate and use
Limitations / notes
- -Higher learning curve
- -Requires some technical background
Who it's for
This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.
FAQ
Is it free?
ClearML offers both free and paid versions; please check the official website for details.
Is Chinese supported?
Documentation and the interface are primarily in English, but there may be community-driven Chinese support.
Can it be used commercially?
Yes, ClearML supports commercial use; please refer to the official license agreement on the website.
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