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Feedbase vs Langfuse

Observability for LLM apps, not a product feedback hub.
FeedbaseThe open-source feedback collection and product update sharing solution.LangfuseOpen Source Observability & Analytics for LLM Apps 🕵️‍♂️

Side by side

What it is
Feedbase:Feedbase is an open-source tool for collecting user feedback, prioritizing features, and sharing product updates.
Langfuse:Langfuse is an open-source platform for tracing, evaluating and monitoring LLM applications and AI agents.
Best for
Feedbase:Open-source feedback & update hub
Langfuse:LLM observability & analytics
Who it’s for
Feedbase:Product teams and developers who need a central hub for feedback and changelogs.
Langfuse:Developers building, debugging and scaling LLM-based apps and agents.
Pricing
Feedbase:Free
Langfuse:Freemium
Plans
Feedbase:—
Langfuse:Hobby Free · Core $29 per month · Pro $199 per month · Enterprise $2499 per month
Open source
Feedbase:Yes, 677 GitHub stars
Langfuse:Yes, 35,097 GitHub stars
Works with
Feedbase:Linear, GitHub
Langfuse:Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift
DevHunt upvotes
Feedbase:10
Langfuse:89
Launched on DevHunt
Feedbase:Jun 2024
Langfuse:Jan 2023

Feedbase features

  • Feedback collection. Users can submit feedback, ideas, and discuss product features in a shared portal.
  • Voting prioritization. Community voting helps identify the most requested features.
  • Tagging & status categorization. Organize feedback with customizable tags and status labels.
  • Changelog publishing. Create markdown-based release notes with OG image support and automatic HTML conversion.
  • Subscription notifications. Users can follow updates via email, RSS, or Twitter.
  • Custom domains & branding. Projects can use custom domains and fully customize the look and feel.
  • Team collaboration. Invite team members to manage feedback and updates together.
  • Integrations. Connect to Linear for issue tracking and GitHub for version control.
Feedbase 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.