Apitally vs Langfuse

Apitally is a cloud service for API usage analytics, performance monitoring, and troubleshooting dashboards, added with a few lines of code. Dashboards track request volume, errors, response times, and consumer activity by endpoint and consumer. Optional logs let teams search requests and responses with correlated application logs and traces. Threshold alerts cover 14 traffic, error, and performance metrics, plus uptime and synthetic HTTP health checks. Notifications can go to Slack or Microsoft Teams. Supported frameworks include FastAPI, Django REST Framework, Flask, Express, Fastify, Hono, and ASP.NET Core, with Cloudflare Workers support through Logpush and serverless SDKs for Hono and FastAPI. SDKs aggregate metrics on the client, while logging and trace collection can be configured and sensitive data masked or excluded. Apitally says transfers use HTTPS and TLS, with database storage and backups encrypted at rest. Aggregated metrics remain 13 months; request and application logs 15 days; backups seven days. There is no free plan; a 14-day trial is offered.

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.