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User-Friendly Interface: Users have found Comet ML to be user-friendly, with a nice UI and UX overall. They appreciated the simplicity of …
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What is Comet ML?
Comet.ml is an MLOps software that allows engineers and data scientists to automatically track their datasets, code changes, experimentation history, and production models to drive efficiency, transparency, and reproducibility. Comet allows data scientists to maintain their preferred workflow and tools,…
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Starter
$50
Cloud
per month per user
Community
Free
Cloud
Enterprise
Custom
Cloud
Entry-level set up fee?
- No setup fee
For the latest information on pricing, visithttps://www.comet.com/site/pricing
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Product Demos
An AI engineer guide to model monitoring with Comet ML platform
YouTube
GitLab DevOps Platform + Comet ML. Automate Machine Learning Pipelines MNIST Demo
YouTube
Product Details
- About
- Integrations
- Tech Details
What is Comet ML?
Comet.ml is an MLOps software that allows engineers and data scientists to automatically track their datasets, code changes, experimentation history, and production models to drive efficiency, transparency, and reproducibility. Comet allows data scientists to maintain their preferred workflow and tools, while tracking previous work and collaborating throughout the iterative process.
Comet.ml also optimizes models with bayesian hyper-parameter optimization - a type of algorithm - which saves time typically spent on manual tuning ML models. As a result, users have increased visibility of data science, ML results, and progress throughout an organization.
Comet is agnostic to the developer's choice of IDE. They have users using anything from vim and emacs to Spider and PyCharm.
Comet ML Features
- Supported: hyperparameter optimization
Comet ML Integrations
- Jupyter Notebook
- Vim
- Spider
- PyCharm
- GNU Emacs
- Pytorch
- TensorFlow
- Keras
- GitLab
- Azure Notebooks
- Ludwig
- Pyspark
- Shap
- Ray Train
- Huggingface
Comet ML Technical Details
| Deployment Types | On-premise, Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Windows, Mac |
| Mobile Application | No |
Comparisons
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Community Insights
TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
- Pros
- Cons
User-Friendly Interface: Users have found Comet ML to be user-friendly, with a nice UI and UX overall. They appreciated the simplicity of integrating it into their project and found it easy to use, which made them more productive. The dashboard makes visualizations convenient.
Comprehensive Platform: According to reviewers, Comet ML is a comprehensive platform that offers various features from monitoring to tracking experiments with easy access. It provides a single platform to share ML experiments and models, helping compare data and insights efficiently while saving time.
Easy Integration: Many users appreciate how Comet ML easily integrates into code to track models and experiments. They can easily integrate their developed machine learning model pipeline as well. This feature helps the team track their ML models and visualize them while also providing great GUI.
Expensive Cost: Some users have found Comet ML to be expensive and not customizable. They have mentioned that the plan offered by the software is slightly costly, making it difficult for them to continue using it.
Limited Model Tracking Abilities: According to some reviewers, there are somewhat limited model tracking abilities in Comet ML. This can make it difficult for users who require more advanced features for their projects.
Not Supporting All Programming Languages: The software doesn't support all programming languages, which has been a problem for some users. These reviewers would prefer if the program could work with a wider range of coding languages to make it easier to use across different projects.