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Langfuse vs OpenObserve

OpenObserve focuses on petabyte-scale system metrics, not LLM-specific tracing and evaluation.
LangfuseOpen Source Observability & Analytics for LLM Apps 🕵️‍♂️OpenObserveOpen source observability built for petabyte scale

Side by side

What it is
Langfuse:Langfuse is an open-source platform for tracing, evaluating and monitoring LLM applications and AI agents.
OpenObserve:OpenObserve is an open-source observability platform for logs, metrics and traces at petabyte scale.
Best for
Langfuse:LLM observability & analytics
OpenObserve:Unified, petabyte-scale observability
Who it’s for
Langfuse:Developers building, debugging and scaling LLM-based apps and agents.
OpenObserve:Engineering teams needing high-performance, cost-effective observability.
Pricing
Langfuse:Freemium
OpenObserve:Paid
Plans
Langfuse:Hobby Free · Core $29 per month · Pro $199 per month · Enterprise $2499 per month
OpenObserve:OpenObserve Cloud $0.50/GB per GB ingest
Open source
Langfuse:Yes, 35,097 GitHub stars
OpenObserve:Yes, 22,149 GitHub stars
Works with
Langfuse:Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift
OpenObserve:OpenTelemetry, Prometheus, Datadog Agent, Kubernetes, AWS, Google Cloud, Azure
DevHunt upvotes
Langfuse:89
OpenObserve:39
Launched on DevHunt
Langfuse:Jan 2023
OpenObserve:Apr 2026

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

OpenObserve features

  • Unified observability stack. Collect, correlate and view logs, metrics, traces and more in a single platform.
  • Columnar Parquet storage. Rust-based storage engine provides 140× storage efficiency and 30× compute efficiency.
  • Auto-correlation engine. Analyzes millions of signals per second to automatically link related events.
  • AI SRE agent. Continuously triages incidents, finds root cause and drafts post-mortems.
  • AI assistant. Answers natural-language queries across all telemetry without writing queries.
  • LLM observability. Tracks prompts, completions, token usage and cost for LLM applications.
  • Kubernetes integration. One-click collector deploys logs, metrics, events and zero-code traces for clusters.
  • OpenTelemetry-native ingestion. Supports OpenTelemetry, Prometheus and Datadog agents for drop-in migration.
OpenObserve on DevHunt →Alternatives

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