Keywords AI
Arize AI vs Weights & Biases
Compare Arize AI and Weights & Biases side by side. Both are tools in the Observability, Prompts & Evals category.
Quick Comparison
| Category | Observability, Prompts & Evals | Observability, Prompts & Evals |
| Pricing | Freemium | Freemium |
| Best For | ML teams who need comprehensive observability spanning traditional ML models and LLM applications | ML engineers and researchers who need comprehensive experiment tracking |
| Website | arize.com | wandb.ai |
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When to Choose Arize AI vs Weights & Biases
- Production ML and LLM monitoring
- Embedding quality monitoring
- Model performance tracking
- ML experiment tracking and comparison
- Model training run management
- Team collaboration on ML projects
About Arize AI
Arize AI provides an ML and LLM observability platform for monitoring model performance in production. For LLM applications, Arize offers trace visualization, prompt analysis, embedding drift detection, and retrieval evaluation. Their open-source Phoenix library provides local tracing and evaluation. Arize helps teams identify quality issues, debug failures, and continuously improve AI system performance.
About Weights & Biases
Weights & Biases (W&B) is the leading experiment tracking and ML operations platform, now extended to LLM applications. W&B Traces provides observability for LLM pipelines, while W&B Weave offers evaluation and production monitoring. The platform also supports model training tracking, hyperparameter sweeps, and artifact management, making it a comprehensive MLOps solution.
What is Observability, Prompts & Evals?
Tools for monitoring LLM applications in production, managing and versioning prompts, and evaluating model outputs. Includes tracing, logging, cost tracking, prompt engineering platforms, automated evaluation frameworks, and human annotation workflows.
Browse all Observability, Prompts & Evals tools →