API Analytics vs Langfuse

API Analytics monitors API activity and gives teams usage and performance data through a real-time dashboard, active monitoring, and error notifications. Setup examples cover frameworks including FastAPI, Flask, Django, Express, Gin, Rails, and ASP.NET Core. Its middleware can record request method, endpoint, user agent, timestamp, response status and time, API hostname, and framework identifier. IP collection is configurable: addresses can be stored, discarded after use, or never accessed or collected. An optional custom user ID can be attached to requests and used to filter information from the data API, which returns raw request records with filters such as date, hostname, status, location, and user ID. The service is available on the web and through an API, and it can be self-hosted. Its free plan costs nothing and supports up to 1 million stored requests per user; new requests replace older ones after the limit. The FAQ advises against production self-hosting while the project remains under development and testing.

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.