ClearML
An open-source MLOps platform that provides experiment tracking, model management, and orchestration for machine learning projects.
Price: Freemium
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.
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
Open Source Self-Hosted:
Free to download and use
Includes core experiment tracking, model management, data versioning, and orchestration
Community support
ClearML Hosted (Managed Service):
Free Plan:
Limited to 1 user
Up to 2 concurrent tasks
Limited data retention
Access to basic hosted features
Pro Plan:
Starts at $49/month (billed annually) for 1 user
Includes 2 concurrent tasks, 1 year data retention, priority support
Additional users and concurrent tasks increase the price
Enterprise Plan:
Custom pricing; "Contact Sales" for tailored solutions
Includes dedicated support, custom data retention, advanced security, SSO, and on-premise deployment options
Free Trial: The open-source version is free indefinitely
The ClearML Hosted Free Plan serves as an ongoing trial
Refund Policy: Not explicitly stated; typically for SaaS, it's subscription-based with cancellation at the next billing cycle.
FAQs
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