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FeatBit vs Langfuse
Langfuse offers LLM observability, whereas FeatBit manages feature flags.
FeatBitAn open-source feature flag tool: a budget-friendly alternative to LaunchDarkly, perfect for self-hosting..png?width=96)
LangfuseOpen Source Observability & Analytics for LLM Apps 🕵️♂️Which to pick
Pick FeatBit if you want…
- Self-hosted feature flag management
- Integrations with Kubernetes, AWS or Azure (on FeatBit's list, not Langfuse's)
Pick Langfuse if you want…
- LLM observability & analytics
- Integrations with Python, TypeScript or Go (on Langfuse's list, not FeatBit's)
Side by side
- What it is
- FeatBit:FeatBit is an open-source feature flag platform for self-hosted, scalable release management.
- Langfuse:Langfuse is an open-source platform for tracing, evaluating and monitoring LLM applications and AI agents.
- Best for
- FeatBit:Self-hosted feature flag management
- Langfuse:LLM observability & analytics
- Who it’s for
- FeatBit:Engineering and product teams needing private, cost-effective feature flagging.
- Langfuse:Developers building, debugging and scaling LLM-based apps and agents.
- Pricing
- FeatBit:Freemium
- Langfuse:Freemium
- Plans
- FeatBit:Foundation $0 · Enterprise $3,999/year per year
- Langfuse:Hobby Free · Core $29 per month · Pro $199 per month · Enterprise $2499 per month
- Open source
- FeatBit:Yes, 1,907 GitHub stars
- Langfuse:Yes, 35,097 GitHub stars
- Works with
- FeatBit:Kubernetes, AWS, Azure, Docker Compose, Terraform, GitOps, Okta, Auth0
- Langfuse:Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift
FeatBit features
- Open-source core. Free forever platform you can run on any infrastructure.
- AI-native release agent. AI-guided experimentation and decision making without a data team.
- Advanced RBAC. Role-based access control with optional advanced tier for $600/yr.
- Multi-environment SDKs. Server and client SDKs for every stack, plus Terraform & GitOps support.
- Integrations & webhooks. Supports SSO (OAuth2, Azure AD, Okta, Auth0), webhooks, and real-time flag updates via WebSocket.
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.
FeatBit vs Langfuse FAQ
Is FeatBit or Langfuse free?+
FeatBit has a free plan (Foundation) and paid plans. Langfuse has a free plan (Hobby); paid plans start at $29/month (Core).
Is FeatBit or Langfuse open source?+
Yes, both are open source: FeatBit (featbit/featbit on GitHub, MIT license) and Langfuse (langfuse/langfuse on GitHub).
Do FeatBit and Langfuse integrate with the same tools?+
Their integration lists don't overlap: FeatBit lists Kubernetes, AWS, Azure, Docker Compose and 4 more; Langfuse lists Python, TypeScript, Go, Java and 10 more.
On DevHunt
Based on each tool's website and DevHunt data. Details may change; check the official sites.