Deepchecks
The ML Validation Company
Overview
Deepchecks is a company that provides an open-source and enterprise solution for testing and validating machine learning models and data. It helps data scientists and ML engineers to identify and address issues throughout the ML lifecycle, from data preparation to post-deployment. Deepchecks offers a wide range of checks for data quality, model performance, and data drift, enabling teams to build more reliable and robust AI systems.
✨ Key Features
- ML Model and Data Validation
- Open-Source Library
- Enterprise Platform
- Data Quality Checks
- Model Performance Checks
- Data Drift Detection
- CI/CD Integration
🎯 Key Differentiators
- Comprehensive library of checks for both data and models
- Open-source and community-driven approach
- Focus on continuous validation throughout the ML lifecycle
Unique Value: Provides a comprehensive and easy-to-use solution for validating ML models and data, enabling teams to build more reliable and robust AI systems.
🎯 Use Cases (4)
✅ Best For
- Validating data integrity before model training
- Testing model performance on various data segments
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Primarily a tool for real-time model serving
🏆 Alternatives
Offers a more holistic approach to validation, covering both data and models, compared to some tools that focus on only one aspect.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Phone Support
- ✓ Dedicated Support (Enterprise tier)
🔒 Compliance & Security
💰 Pricing
✓ 14-day free trial
Free tier: Open-source version is free to use
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