Langfuse vs Trigger.dev

Side-by-side comparison of two AI agent tools

Short answer

  • Langfuse is growing faster: +1,812 GitHub stars in the last 30 days vs +150 for Trigger.dev.
  • Pick Langfuse for: open-source LLM engineering platform for observability, evaluation, prompt and dataset management. Pick Trigger.dev for: trigger.dev – build and deploy durable AI agents and workflows.

From GitHub data refreshed daily.

Langfuseopen-source

Open-source LLM engineering platform for observability, evaluation, prompt and dataset management

T
Trigger.devopen-source

Trigger.dev – build and deploy durable AI agents and workflows

Metrics

LangfuseTrigger.dev
Stars35.3k16.5k
Star velocity /mo1.8k150
Commits (90d)2.0k711
Releases (6m)1010
Overall score0.90672926166320360.7556547595846174

Pros

  • +Open source with MIT license allowing full customization and transparency, plus active community support
  • +Comprehensive feature set combining observability, prompt management, evaluations, and datasets in one platform
  • +Extensive integrations with major LLM frameworks and tools including OpenTelemetry, LangChain, and OpenAI SDK

    Cons

    • -May require significant setup and configuration for self-hosted deployments
    • -Could be overwhelming for simple use cases that only need basic LLM monitoring
    • -Self-hosting requires technical expertise and infrastructure resources

      Use Cases

      • •Production LLM application monitoring to track performance, costs, and identify issues in real-time
      • •Prompt engineering and management for teams collaborating on optimizing model prompts and tracking versions
      • •LLM evaluation and testing to measure model performance across different datasets and use cases
        View Langfuse DetailsView Trigger.dev Details

        FAQ

        Which is more popular, Langfuse or Trigger.dev?
        Langfuse has more GitHub stars (35,301 vs 16,455).
        Which is more actively developed, Langfuse or Trigger.dev?
        Langfuse had more commits in the last 90 days (2,007 vs 711).
        Should I use Langfuse or Trigger.dev?
        Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.