Compare
FlurryPORT vs Langfuse
Observability for LLM apps, not a tool for storing and replaying webhook payloads.
LangfuseOpen Source Observability & Analytics for LLM Apps 🕵️♂️Side by side
- What it is
- FlurryPORT:FlurryPORT captures incoming webhooks byte-for-byte, stores them encrypted, and lets you replay them locally or to multiple targets.
- Langfuse:Langfuse is an open-source platform for tracing, evaluating and monitoring LLM applications and AI agents.
- Best for
- FlurryPORT:Exact webhook capture & replay
- Langfuse:LLM observability & analytics
- Who it’s for
- FlurryPORT:Webhook developers, AI-agent builders, and teams debugging integrations.
- Langfuse:Developers building, debugging and scaling LLM-based apps and agents.
- Pricing
- FlurryPORT:Freemium
- Langfuse:Freemium
- Plans
- FlurryPORT:Deckhand $0/mo per month · Bosun $9/mo per month · First Mate $29/mo per month · Captain $99/mo per month
- Langfuse:Hobby Free · Core $29 per month · Pro $199 per month · Enterprise $2499 per month
- Open source
- FlurryPORT:—
- Langfuse:Yes, 35,097 GitHub stars
- Works with
- FlurryPORT:Stripe, GitHub, Slack, Discord, Svix, Square, Shopify, Twilio
- Langfuse:Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift
- DevHunt upvotes
- FlurryPORT:5
- Langfuse:89
- Launched on DevHunt
- FlurryPORT:Jul 2026
- Langfuse:Jan 2023
FlurryPORT features
- Raw capture. Stores every header and byte exactly as received.
- Replay modes. Replay single, batch or ordered sequences with stop-on-failure.
- Signature validation. Verifies Stripe, GitHub, Svix, Square and others before storage.
- AES-256-GCM encryption. All payloads are envelope-encrypted at rest with Azure Key Vault rotation.
- Transform & fan-out. Apply JSONata transforms and forward one capture to many targets.
- CLI MCP server. npm package provides a local server for AI agents like Claude Code or Cursor.
- Isolated endpoints. Each developer gets private capture URLs, avoiding tunnel collisions.
- Visual status cubes. Quick glance view of webhook state and delivery receipts.
Langfuse features
- Hierarchical Traces. Capture every LLM call, tool invocation and retrieval step with filters for user, session, cost and latency.
- Prompt Management. Version, fetch, release and cache prompts separately from code with one-click deployments.
- Evaluation Engine. Run LLM-as-judge, heuristic or human-review evaluations on production data or experiments.
- Experiments & Datasets. Define test cases, run experiments and create golden datasets for continuous improvement.
- Dashboards & Alerts. Monitor cost, latency and quality via custom dashboards and automated alerts.
- Human Annotation. Collaborative human-in-the-loop workflows with annotation queues.
- Extensive Integrations. Supports Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift and 100+ agent frameworks and model providers.
- Self-hosted & Cloud Options. Available as hosted SaaS or self-hosted under MIT license.
Based on each tool's website and DevHunt data. Details may change; check the official sites.