# ClearML — End-to-End MLOps Platform

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

## Install

Save in your project root:

## Quick Use

```bash
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!\")
"
```

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## Intro

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

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## 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

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### 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.

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## Source & Thanks

> [clearml/clearml](https://github.com/clearml/clearml) — 6,600+ GitHub stars

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Source: https://tokrepo.com/en/workflows/9e630ac2-85c4-4bbe-9064-0d1d5e863464
Author: AI Open Source