Langfuse vs Pusher

Langfuse

Pusher

Langfuse · 16 features

• Annotation Queues — Human reviewers rate traces. Unlimited on Pro+.
• Dashboards — Aggregate metrics, cost, quality across projects.
• Datasets — Curate test sets from production traces. Run experiments.
• EU Cloud Region — GDPR-compliant hosting in EU.
• Evaluations — LLM-as-judge, manual scores, custom model-graded evaluators.
• LLM Cost Tracking — Automatic cost calculation per provider/model.
• OpenTelemetry Native — OTel SDK → Langfuse endpoint works out of box.
• Playground — Test prompts + models + variables live.
• Prompt Management — Version, tag, label prompts. Reference from code by label.
• Public API — Full REST API for ingest, query, prompt management.
• Python @observe decorator — One-line decorator to trace any function.
• Self-Hosting — Docker Compose + k8s Helm chart.
• Sessions — Group related traces (conversations, agent runs).
• Tracing — Capture every LLM call, tool call, nested span with inputs/outputs/cost.
• Users Tracking — Segment traces by user ID, track per-user cost.
• Webhooks — Subscribe to trace completion events.

Pusher · 11 features

• Beams — Push notifications for iOS/Android/Web with device interest groups.
• Beams Authenticated Users — Target users by auth user ID across devices.
• Channels — WebSocket pub/sub — realtime events, live updates, notifications.
• Channels Webhooks — Receive server-side notifications of channel activity.
• Client Events — Publish events from clients directly (triggered from browser).
• Debug Console — Live channel debugging dashboard.
• Encrypted Channels — End-to-end encrypted messages.
• Global Clusters — US, EU, AP-Southeast, etc. Pick nearest region.
• Presence Channels — Track who is online in a channel.
• Private Channels — Auth-required channels with server-signed tokens.
• Stats — Connection / message dashboards.