Keywords AI
Langfuse vs Weights & Biases
Compare Langfuse 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 | Open Source | Freemium |
| Best For | Teams who want open-source LLM observability they can self-host and customize | ML engineers and researchers who need comprehensive experiment tracking |
| Website | langfuse.com | wandb.ai |
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When to Choose Langfuse vs Weights & Biases
- Self-hosted LLM monitoring
- Open-source tracing for AI applications
- Prompt versioning and management
- ML experiment tracking and comparison
- Model training run management
- Team collaboration on ML projects
About Langfuse
Langfuse is an open-source LLM observability platform that provides tracing, analytics, prompt management, and evaluation for AI applications. It captures detailed traces of LLM calls, supports custom scoring, and integrates with LangChain, LlamaIndex, Vercel AI SDK, and raw API calls. Langfuse can be self-hosted for data privacy or used as a managed cloud service. Its open-source model and generous free tier make it popular with startups and developers.
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.
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