Comet is the creator of Opik, an end-to-end AI observability platform for developers with best-in-class agent testing, optimization, and monitoring.
Comet ML is praised for its robustness in managing machine learning experiments, offering extensive tracking and collaboration features. Despite its strengths, users sometimes complain about a steep learning curve for newcomers and occasional performance lags. Pricing sentiment is generally neutral, with some users feeling the features are worth the cost, while others hope for more affordable options. Overall, Comet ML maintains a positive reputation for its comprehensive capabilities, although there is room for improvements in usability and pricing transparency.
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Comet ML is praised for its robustness in managing machine learning experiments, offering extensive tracking and collaboration features. Despite its strengths, users sometimes complain about a steep learning curve for newcomers and occasional performance lags. Pricing sentiment is generally neutral, with some users feeling the features are worth the cost, while others hope for more affordable options. Overall, Comet ML maintains a positive reputation for its comprehensive capabilities, although there is room for improvements in usability and pricing transparency.
Features
Use Cases
Industry
information technology & services
Employees
88
Funding Stage
Series B
Total Funding
$74.8M
20
npm packages
1
HuggingFace models
Repository Audit Available
Deep analysis of comet-ml/comet-examples — architecture, costs, security, dependencies & more
Comet ML uses a freemium + tiered pricing model. Visit their website for current pricing details.
Key features include: Log Thousands of LLM Traces, Fast, Enterprise-Grade Reliability Security, Flexible Hosting Deployment Options, Opik: Log Evaluate Your Application’s LLM Calls, Opik: Optimize Prompts Agentic Systems, MLOps: Track Compare Model Training Runs, ML Model Production Monitoring.
Comet ML is commonly used for: DMITRII KRASNOV, ENGINEERING MANAGER, ZENCODER, Olcay Cirit, Staff Research and Tech lead.
Comet ML integrates with: AWS S3, Google Cloud Storage, Azure Blob Storage, TensorBoard, Keras, PyTorch, TensorFlow, MLflow, Jupyter Notebooks, Slack.
