PandaProbe vs LangSmith

Detailed side-by-side comparison to help you choose the right tool

PandaProbe

🔴Developer

AI Observability

Open-source AI agent engineering platform for tracing, evaluating, and debugging agent runs across any framework and LLM provider.

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Starting Price

Custom
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LangSmith

🔴Developer

AI Observability

LangSmith is LangChain's commercial observability, evaluation and prompt management platform for LLM apps and agents in production.

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Starting Price

Free
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Feature Comparison

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FeaturePandaProbeLangSmith
CategoryAI ObservabilityAI Observability
Pricing Plans6 tiers59 tiers
Starting PriceFree
Key Features
    • • Tracing for any LLM stack via Python/TypeScript SDKs or OpenTelemetry
    • • LLM-as-judge, code-based and pairwise evaluations
    • • Versioned prompts with production A/B traffic splits

    PandaProbe - Pros & Cons

    Pros

    • ✓Single instrument() call is genuinely simpler than manual span instrumentation in competitors
    • ✓Framework-agnostic design means no lock-in to a specific agent framework
    • ✓Free Hobby tier with no credit card makes evaluation frictionless
    • ✓Self-hostable option is critical for teams with sensitive data requirements
    • ✓Cost tracking across providers helps optimize model selection
    • ✓Active Product Hunt launch and DevTools recognition signal momentum

    Cons

    • ✗Very new (May 2026 launch) — limited production track record and community size
    • ✗Pro pricing is contact-based, making cost comparison difficult
    • ✗Smaller ecosystem of integrations and plugins compared to Langfuse or LangSmith
    • ✗Documentation and tutorials are still maturing
    • ✗Missing some advanced features like prompt management that competitors offer
    • ✗Single-person or small team behind the project — sustainability risk

    LangSmith - Pros & Cons

    Pros

    • ✓Best-in-class integration if you already use LangChain or LangGraph.
    • ✓Eval suites are practical enough to actually gate releases on, not just dashboards.
    • ✓Self-hosted Enterprise tier covers SOC 2 and regulated environments.

    Cons

    • ✗Per-trace pricing on Plus surprises teams that scale production traffic quickly.
    • ✗Non-LangChain stacks work but trade ergonomic polish for SDK overhead.
    • ✗Some eval features require additional LLM spend on top of the platform fee.

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    🔒 Security & Compliance Comparison

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    Security FeaturePandaProbeLangSmith
    SOC2—✅ Yes
    GDPR—✅ Yes
    HIPAA——
    SSO—✅ Yes
    Self-Hosted—🔀 Hybrid
    On-Prem—✅ Yes
    RBAC—✅ Yes
    Audit Log—✅ Yes
    Open Source—❌ No
    API Key Auth—✅ Yes
    Encryption at Rest—✅ Yes
    Encryption in Transit—✅ Yes
    Data Residency—US, EU
    Data Retention—configurable
    🦞

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    Read the full reviews to make an informed decision

    Review PandaProbeReview LangSmith