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AFFiNE vs Langfuse
Langfuse offers LLM observability; AFFiNE provides AI assistance for content creation, not analytics.
AFFiNEAll in one Knowledge management OS
LangfuseOpen Source Observability & Analytics for LLM Apps 🕵️♂️Side by side
- What it is
- AFFiNE:AFFiNE is an open-source, local-first knowledge workspace that merges docs, whiteboards, databases and AI.
- Langfuse:Langfuse is an open-source platform for tracing, evaluating and monitoring LLM applications and AI agents.
- Best for
- AFFiNE:All-in-one knowledge OS
- Langfuse:LLM observability & analytics
- Who it’s for
- AFFiNE:Teams and individuals needing an integrated note-taking, planning and visual collaboration tool.
- Langfuse:Developers building, debugging and scaling LLM-based apps and agents.
- Pricing
- AFFiNE:Freemium
- Langfuse:Freemium
- Plans
- AFFiNE:Free (Cloud) Free · Pro $6.75 per month · Team $10 per seat per month · Believer $499.99 · AFFiNE AI Add-on $8.9 per month billed annually
- Langfuse:Hobby Free · Core $29 per month · Pro $199 per month · Enterprise $2499 per month
- Open source
- AFFiNE:Yes, 73,041 GitHub stars
- Langfuse:Yes, 35,097 GitHub stars
- Works with
- AFFiNE:—
- Langfuse:Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift
- DevHunt upvotes
- AFFiNE:5
- Langfuse:89
- Launched on DevHunt
- AFFiNE:Apr 2025
- Langfuse:Jan 2023
AFFiNE features
- Unified Docs & Whiteboards. Write, draw and organize content on a single canvas without switching tools.
- AI Copilot. Generate, rewrite, translate and summarize content directly inside AFFiNE.
- Kanban & Project Boards. Track tasks, milestones and workflows with built-in Kanban views.
- Local-First & Privacy-Focused. Data lives on the user’s device with optional cloud sync for control.
- Templates & Moodboards. Ready-made templates for planners, storyboards, knowledge bases and more.
- Real-time Collaboration. Edit docs and whiteboards together with live sync and version history.
- Self-Hosted & Cloud Options. Run the full stack on your own servers or use AFFiNE Cloud hosting.
- Open-Source MIT Editor. The editor is MIT-licensed, allowing unlimited customization.
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.