Langfuse
Open Source LLM Engineering Platform
W&B Models by Weights & Biases
Train, fine-tune, and manage AI models
Updated February 2026
| Langfuse | W&B Models by Weights & Biases | |
|---|---|---|
| Rating | 5.0★ | 5.0★ |
| Reviews | 41 | 3 |
| Pros | 18 | 0 |
| FactScore™ | 81.2 | 30.1 |
FactScore™ Comparison
FactScore™ weighs both quality (rating) and popularity (reviews) for a fairer ranking than stars alone.
Pros & Cons
Only in Langfuse — Pros
LLM observability Open source Detailed tracing Monitoring capabilities Cost-effective Easy to integrate Free tier SDK availability Seamless integration Debugging tools Fast iterations Insightful analytics Community engagement Detailed analytics Excellent UI Flexible architecture Open API Robust telemetryBoth tools — Pros
—Only in W&B Models by Weights & Biases — Pros
No unique pros listedOnly in Langfuse — Cons
—Both tools — Cons
—Only in W&B Models by Weights & Biases — Cons
—Details
| Langfuse | W&B Models by Weights & Biases | |
|---|---|---|
| Categories | AI Infrastructure Tools, AI Metrics and Evaluation | AI Infrastructure Tools, AI Metrics and Evaluation |
| Platforms | Web | Web |
| Became Popular | August 20, 2023 | May 13, 2019 |
| Website | langfuse.com | www.wandb.ai |
Who Should Pick Which?
Choose Langfuse if...
- LLM observability
- Open source
- Detailed tracing
Choose W&B Models by Weights & Biases if...
- No unique pros listed
With a FactScore™ of 81.2 vs 30.1, Langfuse leads in community reception. Langfuse uniquely offers LLM observability and Open source, while W&B Models by Weights & Biases stands out for No unique pros listed.
What Users Say
Langfuse
Without Langfuse, we would have been flying blind with our drafting agent. This platform is critical not just for measuring performance, but for understanding exactly what context gets pulled into ...
So excited to see Langfuse go live — we've been a happy user for 4 weeks now. Most detailed latency and analytics in the market. Highly recommend for anyone using complex chains or with user-f...
We’ve been unsung Langfuse for 2 months now. It’s easy to integrate and makes it simpler for us to monitor & debug LLM requests during development and beyond.
W&B Models by Weights & Biases
When the loss goes down the model gets more gooder, so ofc we like it when we can view lots of lines together in one place (and store terrabytes of validation samples)
Not many tools out there which are as strong and useful in monitoring AI model training
We use Weights and Biases to track our machine learning experiments.
Related Comparisons
Frequently Asked Questions
Which is better, Langfuse or W&B Models by Weights & Biases?
Based on FactScore™, Langfuse leads with a score of 81.2 vs 30.1. Langfuse has a higher rating of 5.0★ compared to 5.0★.
What are the pros of Langfuse compared to W&B Models by Weights & Biases?
Langfuse uniquely offers: LLM observability, Open source, Detailed tracing, Monitoring capabilities, Cost-effective.
What are the pros of W&B Models by Weights & Biases compared to Langfuse?
W&B Models by Weights & Biases uniquely offers: No unique pros listed.
Is Langfuse better rated than W&B Models by Weights & Biases?
Langfuse is rated 5.0★ from 41 reviews. W&B Models by Weights & Biases is rated 5.0★ from 3 reviews.
What is the FactScore™ of Langfuse and W&B Models by Weights & Biases?
FactScore™ weighs rating and review volume together. Langfuse scores 81.2 and W&B Models by Weights & Biases scores 30.1.
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