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clearml

ClearML is an automated CI/CD tool designed to simplify AI workflows.

🌍 OverseasFree + PaidOpen sourceDev开源自动化LLMOpsMLOps实验管理数据管理
Platforms: WebAPI
Region
Overseas
Pricing
Free + Paid
Open source
Yes
GitHub Stars
★ 6.7k
Source
GitHub
Added
2026-06-16
Last verified
2026-06-16
clearml

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

AI experiment management and trackingAutomated ML/DL pipelinesData management and version controlModel deployment and serving

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

Data ScientistsMachine Learning EngineersDevelopersEnterprise Teams

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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