MLOps

ClearML

ClearML is an open-source platform that helps manage your machine learning projects easily.

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4.713 reviewsG2FreeFree version
ClearML screenshot

Overview

ClearML is a powerful tool designed to help data scientists and machine learning engineers streamline their workflow. It provides a centralized platform for tracking experiments, managing datasets, and orchestrating resources. This tool allows you to focus more on building models without getting lost in the chaos of managing various tools and scripts.

The platform supports collaboration and helps improve productivity by providing a visual interface where teams can monitor their machine learning experiments in real-time. With ClearML, you can easily reproduce results, understand model performance, and share insights with your team. It is built to enhance transparency and accountability in the machine learning process.

In addition to its tracking capabilities, ClearML also offers comprehensive features like data management, model serving, and resource optimization. This makes it an essential tool for any organization that wants to leverage machine learning effectively. Whether you are a beginner or an expert, ClearML can simplify your workflow and improve your team's efficiency.

Pricing

PlanPrice
FreeFree (1 seat)

Key features

Experiment Management

Easily track and manage different machine learning experiments in one place.

Version Control

Keep track of different versions of your datasets and models over time.

Real-time Monitoring

Get live updates on the performance of your experiments as they run.

Resource Management

Optimize and allocate computing resources efficiently for your projects.

Collaboration Tools

Share your findings and collaborate with your teammates seamlessly.

Data Management

Organize and manage datasets with built-in tools for improved accessibility.

Scalability

Use ClearML with small or large datasets without losing performance.

Open-source Community

Benefit from an active community for support and continuous improvements.

Pros & Cons

Pros

  • User-Friendly Interface
  • Open-Source
  • Integration
  • Community Support
  • Cost-Effective

Cons

  • Learning Curve
  • Limited Advanced Features
  • Performance Issues
  • Documentation
  • Setup Complexity

Rating Distribution

5
11 (84.6%)
4
2 (15.4%)
3
0 (0.0%)
2
0 (0.0%)
1
0 (0.0%)

Screenshots

4.7
Based on 13 reviews
Dhiren G.Marketing and events managerEnterprise(> 1000 emp.)
August 26, 2023

Revolutionizing AI Model Management

What do you like best about ClearML?

ClearML stands out with its configured features and extensive customization options. It requires commitment. It proves its value by implementing the desired design. The, on premises version is dependable although the initial setup process can be involved. The integration with ML tools seamlessly. The support and online community are exceptional. ClearML consistently adds capabilities further enhancing its performance.

What do you dislike about ClearML?

Ive found that ClearML lacks a user interface which makes it challenging to navigate and fully utilize all of its features efficiently. Moreover the integrations, with tools arent as seamless as advertised; they require effort to set up and maintain properly. Lastly insufficient detailed documentation poses a challenge for new users to comprehensively understand and leverage the platforms capabilities.

What problems is ClearML solving and how is that benefiting you?

With its intuitive interface its easy to track experiments collaborate with team members and analyze results. This has greatly improved our efficiency and productivity helping us deliver results and drive our business forward.

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Md Junaid H.Mid-Market(51-1000 emp.)
September 4, 2023

Observation related to ClearML

What do you like best about ClearML?

As the name itself reflects as clearMl which means providing clearity related to Machine Learning which is booming in 21st century since 2016. This product is providing knowledge related ML.

What do you dislike about ClearML?

As it is merely focused on Machine L...

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Ariel B.Senior Data ScientistSmall-Business(50 or fewer emp.)
January 23, 2024

Trustworthy, opinionated, all-in-one MLOps solution, some assembly required.

What do you like best about ClearML?

Straightforward integration to your own automation and platform.

The experiment tracking component is probably best in class. I should know - I once helped to build it.

Nowadays, as a user, I am constantly faced with a similar workflow:

1) we need to do X ->

2) L...

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Anonymous ReviewerSmall-Business(50 or fewer emp.)
August 21, 2023

Review for ClearML

What do you like best about ClearML?

As a data scientist, I have used ClearMLand founded interesting in integrating multiple libraries like Scikit-learn, tensorflow, Pandas, Scipy etc on its platform and also it processes End to End MLOps inside it which includes building models,testing, deploying, ...

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Jon M.Mid-Market(51-1000 emp.)
February 22, 2023

Great, Flexible Platform That Makes Things Easy For Users

What do you like best about ClearML?

I like how easy it is for users to quickly get spun up and recording experiments and submitting jobs to the queues. We have our whole team recording their work so that it's easy to review and we're about to start directly deploying models from ClearML.

What do y...

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Company Information

LocationTel Aviv, IL
Founded2016
Employees31
LinkedInView Profile

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FAQ

Here are some frequently asked questions about ClearML.

ClearML is an open-source platform designed to help manage and track machine learning experiments and projects.

Yes, ClearML is open-source and free to use for everyone.

Absolutely! ClearML integrates with various popular machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn.

Key features include experiment management, version control, real-time monitoring, resource management, and collaboration tools.

Data scientists, machine learning engineers, and teams working on machine learning projects can all benefit from ClearML.

ClearML allows teams to share experiments, findings, and insights easily, fostering better collaboration.

Some users have reported performance issues with very large datasets, but it generally performs well.

You can get support from the active ClearML community or check the official documentation for guidance.