Langfuse vs PromptLayer
Langfuse
langfuse.com
PromptLayer
promptlayer.comSide by side
| Figure | Langfuse | PromptLayer |
|---|---|---|
| Price from | $29/mo | $49/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | Yes |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 10 | 4 |
| Spec score · Prompting Tool | 9.3 (#1) | 7.8 (#6) |
| Spec score · Prompt Management Software | 9.2 (#3) | 7.9 (#14) |
| Spec score · AI Prompt Management Software | 9.1 (#3) | 7.9 (#12) |
| Spec score · Llm Developer Tools | 8.9 (#4) | 7.6 (#13) |
| Spec score · Prompt Engineering Tools | 9.0 (#5) | 7.8 (#17) |
| Spec score · AI LLM Observability Tools | 9.0 (#5) | 7.7 (#21) |
| Evaluation | Evaluation features include LLM-as-a-judge, code evaluators, user feedback, manual labeling, datasets, and experiments. | Evaluations can be triggered on new prompt versions, through the API, or ad hoc in the UI, and include historical backtests and side-by-side model comparisons. |
| Headquarters | Berlin, Germany; San Francisco, United States | PromptLayer says it is located in New York City. |
| Integrations | Langfuse lists more than 100 integrations spanning OpenTelemetry, Python and TypeScript, model providers, agent frameworks, gateways, and developer tools. | The LangChain integration exports traces through OpenTelemetry and supports cost and latency analytics, searchable metadata, and turning traces into evaluation datasets. |
| Observability | Hierarchical traces capture LLM calls, tool invocations, and retrieval steps, with filtering by user, session, cost, latency, and metadata. | PromptLayer tracks requests, traces, cost, latency, token usage, scores, and custom metadata, with OpenTelemetry span support. |
| Product | Langfuse is an open-source AI engineering platform that helps teams collaboratively debug, analyze, and iterate on AI agent applications. | PromptLayer combines a prompt registry and visual prompt CMS with LLM evaluations, observability, and agent tracing. |
| Prompt management | Prompt Management provides versioning, one-click deployments, rollbacks, prompt labels, and per-version performance metrics. | Teams can visually edit, version, test, and deploy prompts without waiting for an application redeploy. |
| Support | Hobby includes community support via GitHub, Core includes in-app support, Pro includes prioritized in-app support, and Enterprise includes support SLA and a named lead support engineer. | The pricing comparison lists basic support for Free, Pro, and Team, and dedicated support for Enterprise. |
Plans
Langfuse
- HobbyFree
- HobbyFree
- Core$29 a month
- Core$29 a month
- Pro$199 a month
- Pro$199 a month
- Teams Add-on$300 a month
- Teams Add-on$300 a month
- Enterprise$2,499 a month
- Enterprise$2,499 a month
In their own words
Langfuse
Langfuse is an open-source AI engineering platform for teams debugging, analyzing, and iterating on AI agent applications. Its tracing records prompts, model responses, token use, latency, tool calls, retrieval steps, and metadata. Prompt Management stores, versions, deploys, and tests prompts, then links them to traces. Evaluation features include LLM-as-a-judge, code evaluators, user feedback, manual labeling, datasets, and experiments. Integrations include Python and JS/TS SDKs, OpenTelemetry, an API, CLI, MCP Server, and popular AI frameworks. Teams can self-host the MIT-licensed core on customer infrastructure using Docker, with options including Docker Compose, Kubernetes, AWS, and Azure. Langfuse reports annual SOC 2 Type 2 and ISO 27001 audits, external penetration tests, GDPR compliance, a DPA, and a HIPAA-ready region. Its Cloud traffic uses TLS 1.2+ and stored data uses AES-256 encryption. The free Hobby plan is free and includes 50k units per month, 30 days of data access, two users, and community support via GitHub. Core costs $29 a month, billed monthly.
PromptLayer
PromptLayer combines a prompt registry and visual prompt CMS with evaluations, observability, and agent tracing for teams building AI products. Teams can visually edit, version, test, and deploy prompts without waiting for an application redeploy, allowing domain experts and non-technical stakeholders to work alongside engineers. Evaluations can run when prompt versions change, through the API, or on demand in the UI. They include historical backtests and side-by-side model comparisons. Tracking covers requests, traces, cost, latency, token usage, scores, and custom metadata, with OpenTelemetry span support. The OpenAI integration includes versioned prompts, release labels, request observability, evaluations, and model comparisons. Free, Pro, and Team are cloud-hosted in the US; Enterprise offers self-hosting on GCP, AWS, or Azure, EU cloud hosting, or single-tenant cloud hosting. PromptLayer states that it maintains SOC 2 Type 2, HIPAA, GDPR, and CCPA compliance. Free costs nothing, Pro costs $49 a month, and Team costs $500 a month. Enterprise pricing is custom.