HoneyHive vs Langfuse
HoneyHive
honeyhive.ai
Langfuse
langfuse.comSide by side
| Figure | HoneyHive | Langfuse |
|---|---|---|
| Price from | Free | $29/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 10 |
| Spec score · AI Prompt Management Software | 8.0 (#10) | 9.1 (#3) |
| Spec score · AI LLM Evaluation Tools | 7.9 (#18) | 9.1 (#4) |
| Spec score · Prompt Engineering Tools | 7.8 (#16) | 9.0 (#5) |
| Spec score · AI Agent Observability Tools | 7.9 (#22) | 9.0 (#6) |
| Spec score · Llm Monitoring | 7.7 (#19) | 8.9 (#5) |
| Spec score · LLM Observability Tools | 7.8 (#22) | 9.0 (#4) |
| Spec score · AI LLM Observability Tools | 7.8 (#20) | 9.0 (#5) |
| Spec score · Model Monitoring Software | 7.8 (#22) | 9.0 (#3) |
| Evaluation | HoneyHive supports automated code-based and LLM-judge evaluations as well as human evaluations with annotation queues and custom rubrics. | Evaluation features include LLM-as-a-judge, code evaluators, user feedback, manual labeling, datasets, and experiments. |
| Experiments | Teams can compare agent versions on datasets and track regressions before shipping changes. | The UI can run prompt or model experiments over datasets and compare results side by side, optionally applying evaluators. |
| Headquarters | Brooklyn, New York, United States | Berlin, Germany; San Francisco, United States |
| Integrations | HoneyHive documents integrations for agent frameworks and platforms including LangChain, LangGraph, CrewAI, OpenAI Agents SDK, and Microsoft Copilot Studio. | Langfuse lists more than 100 integrations spanning OpenTelemetry, Python and TypeScript, model providers, agent frameworks, gateways, and developer tools. |
| Product | HoneyHive is an agent observability platform for observing, evaluating, and improving AI agents in production. | Langfuse is an open-source AI engineering platform that helps teams collaboratively debug, analyze, and iterate on AI agent applications. |
| Security | HoneyHive states that it is audited to SOC 2 Type II, GDPR-compliant with EU data residency, and offers a HIPAA BAA for healthcare. | Langfuse reports annual SOC 2 Type II and ISO 27001 audits, external penetration tests, encryption, access controls, GDPR compliance, and a HIPAA-ready region. |
| Self-hosting | Self-hosted deployments place both the control plane and data plane in the customer's environment and are managed by HoneyHive. | The OSS edition can be deployed with Docker Compose, Kubernetes Helm, or Terraform guides for AWS, GCP, and Azure, including offline or air-gapped installations. |
| Support | The Developer plan includes community support, while Enterprise lists dedicated technical account management and quarterly business reviews. | 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. |
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
HoneyHive
HoneyHive is an agent observability platform for observing, evaluating, and improving AI agents in production. It captures traces that expose tool calls, prompts, and agent decisions step by step. Teams can run automated code-based checks, LLM-judge evaluations, and human reviews through annotation queues and custom rubrics. Live traffic monitoring supports score thresholds, drift detection, and email or webhook alerts, while experiments compare agent versions on datasets and track regressions before release. Integrations include LangChain, LangGraph, CrewAI, OpenAI Agents SDK, and Microsoft Copilot Studio. Tracing follows OpenTelemetry semantic conventions, allowing OTel-instrumented libraries to send data without a dedicated guide. HoneyHive also provides cost and token-cost tracking, prompt management, and tracing for LLMs, agents, and retrieval. The free Developer plan costs nothing and includes five users, one workspace, unlimited projects, 10,000 events monthly, 30-day retention, and 1,000 requests per minute. Enterprise has custom pricing and hosting options.
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.