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Langfuse vs Braintrust
Agent-native side-by-side. Scores are curated estimates on a 0–10 scale. Lock-in: higher = worse. Prefer JTBD picks via /api/decide when choosing for a job.
| Dimension | Langfuse | Braintrust |
|---|---|---|
| Overall | 8.7 | 8.2 |
| Capability fit | 8.8 | 9.2 |
| Price / performance | 9.2 | 7.5 |
| Latency / reliability | 8.4 | 8.6 |
| Developer & agent DX | 8.8 | 8.8 |
| Privacy / data retention | 8.8 | 8.0 |
| Lock-in risk (higher = worse) | 2.5 | 5.0 |
| Maturity / track record | 8.2 | 8.2 |
| Pricing | Open-source + cloud; generous self-host; cloud from ~$29–59/mo tiers; EU-friendly. | Eval-first platform; data-based pricing with unlimited seats on many plans; strong CI eval story. |
| Tagline | Depot default observability for most agent teams: open, affordable, good enough to serious. | Depot pick when evals are the product quality gate. Pair with Helicone/Langfuse for cheap request logs if… |
Langfuse
Depot default observability for most agent teams: open, affordable, good enough to serious. Strengths: OSS + cloud flexibility; Excellent agent/trace UI for the price; EU posture.
Strengths
- OSS + cloud flexibility
- Excellent agent/trace UI for the price
- EU posture
Weaknesses
- Enterprise features chase LangSmith
- You operate it if self-hosting
- Ecosystem still growing
Braintrust
Depot pick when evals are the product quality gate. Pair with Helicone/Langfuse for cheap request logs if needed. Strengths: Best-in-class eval workflows; Great for prompt/agent regression gates; Generous seat model.
Strengths
- Best-in-class eval workflows
- Great for prompt/agent regression gates
- Generous seat model
Weaknesses
- Broader tracing competitors exist
- Price entry higher than hobby tools
- Learning curve for eval design
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