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ClearML logo

ClearML

An open-source MLOps platform that provides experiment tracking, model management, and orchestration for machine learning projects.

Price: Freemium

Categories:AI Data Analysis ToolsAI Developer ToolsAI Monitoring ToolsAI Research ToolsAI Testing Tools
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Description
ClearML is a comprehensive open-source MLOps platform designed to streamline the entire machine learning lifecycle, from experiment tracking to model deployment. It offers capabilities for logging and comparing ML experiments, managing datasets, versioning models, orchestrating training pipelines, and deploying models to production. ClearML is highly flexible, integrating with popular ML frameworks and tools, and can be self-hosted or used as a managed service. It targets data scientists, ML engineers, and MLOps teams who need to bring order, reproducibility, and scalability to their machine learning development, distinguishing itself by its open-source nature, comprehensive feature set, and ability to manage complex ML workflows across diverse environments.

ClearML screenshot 1
How to Use
1.Install the ClearML Python package in your ML environment.
2.Initialize ClearML in your ML code to automatically log experiments (e.g., hyperparameters, metrics, artifacts).
3.View and compare experiment results, models, and datasets in the ClearML UI.
4.Use ClearML to version and manage your datasets and trained models.
5.Orchestrate ML pipelines, scheduling tasks and automating workflows.
6.Deploy models to production and monitor their performance.
Use Cases
ML experiment trackingModel versioningDataset managementMLOps pipeline orchestrationModel deploymentReproducible ML research
Pros & Cons

Pros

  • Comprehensive open-source MLOps platform.
  • Automates experiment tracking, logging, and comparison.
  • Provides robust model and dataset versioning.
  • Supports pipeline orchestration and model deployment.
  • Integrates with major ML frameworks and can be self-hosted.

Cons

  • Self-hosting requires technical expertise and infrastructure management.
  • Steeper learning curve due to its extensive feature set.
  • Enterprise features and dedicated support are part of the paid managed service.
Pricing

To check the pricing of ClearML click here

FAQs

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