Compare

FlurryPORT vs Langfuse

Observability for LLM apps, not a tool for storing and replaying webhook payloads.

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.