ClearML

ClearML is an open-source MLOps platform built to streamline machine learning operations, from experiment tracking and dataset versioning to workflow orchestration and model deployment. It provides data scientists and engineers with a unified environment to automate, monitor, and scale ML pipelines with ease. With real-time experiment logging, remote execution, and integrated pipeline automation, ClearML enhances productivity and reduces complexity across ML projects.

Features of ClearML:

• Automatic experiment tracking with metrics, logs, and comparison tools.
• Dataset management and versioning with scalable storage integration.
• Pipeline orchestration for automated and reproducible ML workflows.
• ClearML Agent for remote execution, distributed training, and resource management.
• User-friendly Web UI to visualize experiments, tasks, datasets, and pipelines.
• Supports cloud, on-premise, and hybrid deployments.
• Python SDK and REST API for seamless workflow integration.

ClearML Usage Instructions:

• Start ClearML services:
  cd ~/clearml

docker compose restart
• Access ClearML Web UI:
  http://YOUR_SERVER_IP:8080

Disclaimer:
ClearML is an open-source platform developed by Allegro AI and the community. This document is not affiliated with or endorsed by Allegro AI. The software is provided “as is” without warranties. Users are responsible for ensuring secure configuration and proper deployment based on their environment.