ClearML

Overview

ClearML is an open-source MLOps/LLMOps platform that unifies experiment management, data management, pipelines, orchestration, scheduling, and model serving. It provides an auto-magical CI/CD workflow to streamline AI workloads from development to production. The tool is written in Python and has a strong open-source community.

Best for

Best for
Teams building and deploying machine learning models at scale who need a unified MLOps solution

Use cases

• Track and compare machine learning experiments with full reproducibility
• Automate end-to-end ML pipelines with orchestration and scheduling
• Manage and version datasets and models for continuous deployment

Notes

ClearML is an open-source MLOps/LLMOps platform that unifies experiment management, data management, pipelines, orchestration, scheduling, and model serving. It provides an auto-magical CI/CD workflow to streamline AI workloads from development to production. The tool is written in Python and has a strong open-source community.

6,715 stars on GitHub. Last updated 2026-05-31. Licensed Apache-2.0.

Use cases

• Track and compare machine learning experiments with full reproducibility
• Automate end-to-end ML pipelines with orchestration and scheduling
• Manage and version datasets and models for continuous deployment

Pros

• All-in-one platform covering the full ML lifecycle
• Open-source with active community and extensive documentation
• Supports both MLOps and LLMOps workflows

Cons

• Steep learning curve due to feature richness
• Can be resource-heavy for small-scale or simple projects
• Some features may require additional infrastructure setup

Indexed from awesome-llmops and enriched against its public facts.