Traceloop vs Vellum
A detailed comparison to help you choose between Traceloop and Vellum.
Traceloop End-to-end observability for LLM applications | Vellum LLM app development platform | |
|---|---|---|
| Rating | 3.9 (147 reviews) | 4.8 (237 reviews) |
| Pricing Model | free | freemium |
| Starting Price | Free | Free tier available |
| Best For | Engineering teams running LLM applications in production who need visibility into model costs, performance, and error patterns. | Product and engineering teams building LLM-powered features who need structured prompt management |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | free tieropen sourceapi access | free tierapi access |
| Visit Traceloop → | Visit Vellum → |
Traceloop
Pros
- + Integrate with minimal code changes using SDKs
- + Track token costs and API spending across providers
- + Visualize complex LLM chains and agent workflows
- + Monitor latency and identify bottlenecks in AI pipelines
Cons
- - Requires sending trace data to external service
- - Limited to supported frameworks and model providers
Vellum
Pros
- + Prompt version control
- + Evaluation framework
- + Workflow builder
Cons
- - Developer tool
- - Less known vs LangChain
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