Is ClearML — End-to-End MLOps Platform free to use?

Yes. ClearML — End-to-End MLOps Platform is freely available on TokRepo. Check the Source & Thanks section on the asset page for the specific open-source license.

How do I install ClearML — End-to-End MLOps Platform?

Visit the asset page on TokRepo and click "Copy for agent" to get the installation instructions. Most assets can be installed with a single command.

Configs2026年4月1日·1 分钟阅读

ClearML — End-to-End MLOps Platform

Name: ClearML — End-to-End MLOps Platform
Author: TokRepo精选

ClearML provides experiment tracking, pipeline orchestration, data management, and model serving in one platform. 6.6K+ stars. 2-line integration. Apache 2.0.

TokRepo精选 · Community

快速使用

先拿来用，再决定要不要深挖

这里应该同时让用户和 Agent 知道第一步该复制什么、安装什么、落到哪里。

pip install clearml
clearml-init  # Configure credentials

# Add 2 lines to any script
python -c "
from clearml import Task
task = Task.init(project_name=\"my-project\", task_name=\"experiment-1\")
# Everything is now tracked automatically
print(\"ClearML tracking active!\")
"

介绍

ClearML is an MLOps/LLMOps platform providing experiment management, data handling, pipeline orchestration, and model serving in one integrated solution. With 6,600+ GitHub stars and Apache 2.0 license, it requires just 2 lines of code to start tracking experiments. Automatic capture of code, environments, hyperparameters, results, CPU/GPU metrics, artifacts, and TensorBoard logs. Supports PyTorch, TensorFlow, Keras, XGBoost, and more. Deploy on Kubernetes, cloud, or on-premises.

Best for: ML teams wanting zero-friction experiment tracking with full MLOps capabilities Works with: Claude Code, OpenAI Codex, Cursor, Gemini CLI, Windsurf

Key Features

2-line integration for any ML script
Auto-tracking of code, params, metrics, artifacts
Pipeline orchestration and scheduling
Dataset versioning (S3, GCS, Azure, NAS)
Model serving with GPU optimization
Kubernetes and cloud deployment

FAQ

Q: What is ClearML? A: End-to-end MLOps platform with 6.6K+ stars. 2-line experiment tracking, pipelines, data management, model serving. Apache 2.0.

Q: How do I install ClearML? A: pip install clearml. clearml-init to configure. Task.init() in your script.

🙏

来源与感谢

clearml/clearml — 6,600+ GitHub stars

ClearML — End-to-End MLOps Platform

先拿来用，再决定要不要深挖

Key Features

FAQ

来源与感谢

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