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Dify.AI vs Langfuse

Langfuse provides observability for LLM apps, whereas Dify is a platform for building and deploying them.
Dify.AIOpen-source platform for LLMOps, define your AI-native appsLangfuseOpen Source Observability & Analytics for LLM Apps 🕵️‍♂️

Side by side

What it is
Dify.AI:Dify.AI is an open-source LLMOps platform for building, deploying and managing AI-native apps with visual workflow, agent and knowledge-base tools.
Langfuse:Langfuse is an open-source platform for tracing, evaluating and monitoring LLM applications and AI agents.
Best for
Dify.AI:No-code visual AI app development
Langfuse:LLM observability & analytics
Who it’s for
Dify.AI:Developers and teams building AI applications, from hobbyists to enterprises
Langfuse:Developers building, debugging and scaling LLM-based apps and agents.
Pricing
Dify.AI:Freemium
Langfuse:Freemium
Plans
Dify.AI:Sandbox Free · Community Free
Langfuse:Hobby Free · Core $29 per month · Pro $199 per month · Enterprise $2499 per month
Open source
Dify.AI:Yes, 157,311 GitHub stars
Langfuse:Yes, 35,097 GitHub stars
Works with
Dify.AI:—
Langfuse:Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift
DevHunt upvotes
Dify.AI:30
Langfuse:89
Launched on DevHunt
Dify.AI:Jan 2023
Langfuse:Jan 2023

Dify.AI features

  • Workflow Studio. Drag-and-drop visual builder for agentic workflows with visible execution paths.
  • Agent Builder. Create AI agents with skills, tools and knowledge, usable as apps or workflow nodes.
  • Knowledge Pipeline. Prepare searchable knowledge bases by extracting, cleaning, chunking and indexing data sources.
  • Marketplace Plugins. Install model providers, tools and data source integrations from a shared marketplace.
  • Publish & Monitor. Deploy apps as web experiences, APIs or embeds and track logs, feedback and usage.
Dify.AI on DevHunt →Alternatives

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.
Langfuse on DevHunt →Alternatives

Based on each tool's website and DevHunt data. Details may change; check the official sites.