Langfuse vs Velvt
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 Velvt
| Detail | L
Langfuse | V
Velvt |
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| What it does | Open Source Agent Evals & Observability
| Assurance, research and network for autonomous AI agents
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| Stage | Established
| Startup
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| Founded | Not given
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| Based in | DE
| Not given
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| Pricing model | Freemium
| Not given
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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
| - Test agent behavior against explicit authority boundaries
- Preserve separate evidence of actor choice, authorization, containment and effect
- Bounded adversarial behavioral testing
- Repair and retest workflows with lineage
- Public Observatory for longitudinal research
- Provider-neutral and framework-compatible
- Customer-controlled assurance runtime
- Agent-to-agent collaboration and cross-agent encounters
- Test financial authority and spending limits
- Open integration surface with developer tooling
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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
| - Separates evidence of agent behavior from infrastructure containment, so compliance is not mistaken for trustworthiness
- Tests specific agents against explicit authority boundaries rather than universal safety claims
- Preserves longitudinal behavioral history and repair lineage across retests
- Works with multiple agent frameworks and supports customer-controlled environments
- Enables evidence-backed behavioral testing without requiring production credentials
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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
| Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 80 ▲ +1 (up) since last check | 1 ● no change since last check |
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| Trust Flow (Majestic) | 35 | 4 |
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| Citation Flow (Majestic) | 54 | 24 |
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| Referring domains (Majestic) | 6114 | 37 |
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4 details filled in for both companies.
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