Compare
Langfuse vs OpenObserve
OpenObserve focuses on petabyte-scale system metrics, not LLM-specific tracing and evaluation.
LangfuseOpen Source Observability & Analytics for LLM Apps 🕵️♂️Which to pick
Pick Langfuse if you want…
- LLM observability & analytics
- A free plan to start with (Hobby)
- Integrations with Python, TypeScript or Go (on Langfuse's list, not OpenObserve's)
Pick OpenObserve if you want…
- Unified, petabyte-scale observability
- General system observability
- Integrations with OpenTelemetry, Prometheus or Datadog Agent (on OpenObserve's list, not Langfuse's)
Langfuse targets LLM app analytics, whereas OpenObserve provides broader logs/metrics/traces plus LLM observability.
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
- Works with
- Langfuse:Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift
- OpenObserve:OpenTelemetry, Prometheus, Datadog Agent, Kubernetes, AWS, Google Cloud, Azure
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.
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.
Langfuse vs OpenObserve FAQ
Is Langfuse or OpenObserve free?+
Langfuse has a free plan (Hobby); paid plans start at $29/month (Core). OpenObserve is paid.
Is Langfuse or OpenObserve open source?+
Yes, both are open source: Langfuse (langfuse/langfuse on GitHub) and OpenObserve.
Do Langfuse and OpenObserve integrate with the same tools?+
Their integration lists don't overlap: Langfuse lists Python, TypeScript, Go, Java and 10 more; OpenObserve lists OpenTelemetry, Prometheus, Datadog Agent, Kubernetes and 3 more.
On DevHunt
OpenObserve
39 upvotes · Launched on DevHunt on Apr 14, 2026
Based on each tool's website and DevHunt data. Details may change; check the official sites.