DeepCode vs Langfuse

Side-by-side comparison of two AI agent tools

Short answer

  • Langfuse is growing faster: +1,807 GitHub stars in the last 30 days vs +40 for DeepCode.
  • Pick DeepCode for: "DeepCode: Open Agentic Coding (Agent Harness & Loop Engineering & Multi-Agent Orchestration)". Pick Langfuse for: open-source LLM engineering platform for observability, evaluation, prompt and dataset management.

From GitHub data refreshed daily.

D
DeepCodeopen-source

"DeepCode: Open Agentic Coding (Agent Harness & Loop Engineering & Multi-Agent Orchestration)"

Langfuseopen-source

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

Metrics

DeepCodeLangfuse
Stars16.7k35.3k
Star velocity /mo401.8k
Commits (90d)3622.0k
Releases (6m)510
Downloads (30d, npm + PyPI)61822.4M
Overall score0.5972764518629840.8971312686464765

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 DeepCode DetailsView Langfuse Details

        FAQ

        Which is more popular, DeepCode or Langfuse?
        Langfuse has more GitHub stars (35,329 vs 16,665).
        Which is more actively developed, DeepCode or Langfuse?
        Langfuse had more commits in the last 90 days (2,013 vs 362).
        Should I use DeepCode or Langfuse?
        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.