cc-haha vs Langfuse

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 +540 for cc-haha.
  • Pick cc-haha for: cross-platform desktop workspace for Claude Code with multi-agent sessions, Git worktrees, and diff review. Pick Langfuse for: open-source LLM engineering platform for observability, evaluation, prompt and dataset management.

From GitHub data refreshed daily.

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cc-hahaopen-source

Cross-platform desktop workspace for Claude Code with multi-agent sessions, Git worktrees, and diff review

Langfuseopen-source

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

Metrics

cc-hahaLangfuse
Stars14.8k35.3k
Star velocity /mo5401.8k
Commits (90d)8782.0k
Releases (6m)1010
Overall score0.8388478266867060.9067292616632036

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 cc-haha DetailsView Langfuse Details

        FAQ

        Which is more popular, cc-haha or Langfuse?
        Langfuse has more GitHub stars (35,329 vs 14,829).
        Which is more actively developed, cc-haha or Langfuse?
        Langfuse had more commits in the last 90 days (2,013 vs 878).
        Should I use cc-haha 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.