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FeatBit vs Langfuse

Langfuse offers LLM observability, whereas FeatBit manages feature flags.

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
DevHunt upvotes
FeatBit:9
Langfuse:89
Launched on DevHunt
FeatBit:Jan 2024
Langfuse:Jan 2023

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.

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