Langfuse vs Distyl
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Langfuse compared with Distyl
| Detail | L
Langfuse |
Distyl |
| What it does | Open Source Agent Evals & Observability
| Architecting the AI-Native Enterprise
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| Stage | Established
| Not given
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| Founded | Not given
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| Based in | DE
| US
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| Pricing model | Freemium
| Contact for pricing
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| Pricing | Not given
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| Key features | - Hierarchical traces capture every LLM call, tool invocation, and retrieval step
- LLM-as-a-judge, heuristic functions, or human review evaluations
- Prompt management with one-click deployments and rollbacks
- Playground to test prompts on real production inputs and compare models
- Experiments with test cases and side-by-side comparison
- Human annotation and collaborative human-in-the-loop workflows
- Cost and latency monitoring with dashboards and alerts
- REST APIs and Query SDK for data access
- Langfuse Assistant to automate the AI engineering loop
| - Distillery: Operating system for enterprise AI
- Weave: Autonomous AI system construction
- Context Mesh: Enterprise knowledge structured for AI
- Context Views: Enterprise semantic layer for agents
- Journey: AI voice layer for digital experiences
- Personalization: 1:1 customer engagement at enterprise scale
- Capture: Tacit knowledge capture at scale
- Canary: Self-improvement for AI systems
- Forward-deployed engineers and researchers
- EBITDA impact in 6 months
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| What makes it different | - MIT licensed open source platform with no data lock-in
- Enterprise scale architecture handling billions of monthly events
- Works with any language and framework with no framework lock-in
- Async by default so tracing never blocks your application
| - Delivers production AI systems in weeks or months
- 150M+ end users reached by AI systems
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 80 ▲ +1 (up) since last check | 57 ● no change since last check |
| Trust Flow (Majestic) | 35 | 16 |
| Citation Flow (Majestic) | 54 | 36 |
| Referring domains (Majestic) | 6114 | 371 |
5 details filled in for both companies.
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