clearml

clearml/clearml

ClearML - Auto-Magical CI/CD to streamline your AI workload

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Python Apache-2.0Last pushed Jul 7, 2026

Overview

ClearML provides a comprehensive suite for MLOps and LLMOps, including Experiment Management, Data Management, Pipeline Orchestration, Scheduling, and Serving.

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Install

pip install clearml

README

ClearML - Auto-Magical Suite of tools to streamline your AI workflow
Experiment Manager, MLOps/LLMOps and Data-Management

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🌟 ClearML is open-source - Leave a star to support the project! 🌟


ClearML

ClearML is a ML/DL development and production suite. It contains FIVE main modules:

  • Experiment Manager - Automagical experiment tracking, environments and results
  • MLOps / LLMOps - Orchestration, Automation & Pipelines solution for ML/DL/GenAI jobs (Kubernetes / Cloud / bare-metal)
  • Data-Management - Fully differentiable data management & version control solution on top of object-storage (S3 / GS / Azure / NAS)
  • Model-Serving - cloud-ready Scalable model serving solution!
    • Deploy new model endpoints in under 5 minutes
    • Includes optimized GPU serving support backed by Nvidia-Triton
    • with out-of-the-box Model Monitoring
  • Reports - Create and share rich MarkDown documents supporting embeddable online content
  • :fire: Orchestration Dashboard - Live rich dashboard for your entire compute cluster (Cloud / Kubernetes / On-Prem)
  • 🔥 💥 Fractional GPUs - Container based, driver level GPU memory limitation 🙀 !!!

Instrumenting these components is the ClearML-server, see Self-Hosting & Free tier Hosting


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Friendly tutorials to get you started

Step 1 - Experiment Management Open In Colab
Step 2 - Remote Execution Agent Setup Open In Colab
Step 3 - Remotely Execute Tasks Open In Colab

Experiment ManagementDatasets