{"id":17635,"date":"2025-10-29T22:20:54","date_gmt":"2025-10-29T22:20:54","guid":{"rendered":"https:\/\/www.comet.com\/site\/?page_id=17635"},"modified":"2026-02-10T18:52:03","modified_gmt":"2026-02-10T18:52:03","slug":"langsmith-vs-opik","status":"publish","type":"page","link":"https:\/\/www.comet.com\/site\/products\/opik\/compare\/langsmith-vs-opik\/","title":{"rendered":"LangSmith vs. Opik"},"content":{"rendered":"\n
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langsmith vs. OPIK<\/h1>\n\n\n\n

Opik & LangSmith: LLM Evaluation Platform Comparison<\/h2>\n\n\n\n

Compare Opik & LangSmith’s features and functionalities side by side to find the platform that best supports your AI development requirements.<\/p>\n<\/div>\n\n\n\n

\"langsmith<\/figure>\n<\/div>\n\n\n\n
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Opik vs. Langsmith Feature Comparison<\/h2>\n\n\n\n

Opik and LangSmith are platforms used for LLM evaluation<\/a>, LLM observability<\/a>, and LLM monitoring<\/a> of AI applications. Opik is designed as a framework-agnostic, open-source platform that emphasizes flexibility, advanced evaluation, and production-readiness. LangSmith shines in its native integration with the LangChain ecosystem, offering a smooth experience when paired with LangChain and OpenAI tools.<\/p>\n<\/div>\n\n\n\n

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Feature<\/th>Details<\/th>Opik<\/th>LangSmith<\/th><\/tr><\/thead>
Open Source<\/td>Open-source and fully transparent with enterprise scalability<\/td>\"checkmark\"Yes<\/td>\"cross\"No<\/td><\/tr>
LLM Tracing<\/td>Log LLM calls, responses, metadata, & user feedback scores<\/td>\"checkmark\"Yes<\/td>\"checkmark\"Yes<\/td><\/tr>
Trace & Span Analysis<\/td>Annotate & score logs for debugging<\/td>\"checkmark\"Yes<\/td>\"checkmark\"Yes<\/td><\/tr>
Multi-Turn Conversation Logging<\/td>Group & analyze conversation threads<\/td>\"checkmark\"Yes<\/td>Partial<\/td><\/tr>
Human Feedback for Conversation Threads<\/td>Tap subject matter experts to review & annotate multi-turn conversations<\/td>\"checkmark\"Yes<\/td>\"cross\"No<\/td><\/tr>
Comprehensive LLM Evaluation Metrics<\/a> Library<\/td>Variety of built-in metrics (heuristic & LLM-as-a-judge<\/a>) to auto-score LLM output datasets<\/td>\"checkmark\"Yes<\/td>Partial<\/td><\/tr>
Thread-Level Evaluation<\/td>Auto-score entire conversations between humans and AI agents<\/a><\/td>\"checkmark\"Yes<\/td>\"cross\"No<\/td><\/tr>
Automated Prompt Optimization<\/td>Run algorithms to create & enhance elite prompts<\/td>\"checkmark\"Yes<\/td>\"cross\"No<\/td><\/tr>
Multi-Prompt Optimization<\/td>Automate enhancement of multiple LLM prompts & agents<\/td>\"checkmark\"Yes<\/td>\"cross\"No<\/td><\/tr>
Agent Framework Integrations<\/td>Native integrations with popular agent frameworks (LangGraph, LLamaIndex, & more)<\/td>\"checkmark\"Yes<\/td>Partial<\/td><\/tr>
Agent Execution Tracking<\/td>Track agent execution, tool calling, etc.<\/td>\"checkmark\"Yes<\/td>Partial<\/td><\/tr>
Comprehensive Model Provider & LLM Framework Integrations<\/td>Native integrations with the most model providers & LLM frameworks<\/td>\"checkmark\"Yes<\/td>Partial
<\/td><\/tr>
Guardrails<\/td>Detect & block unwanted content like PII for user safety<\/td>\"checkmark\"Yes<\/td>\"cross\"No<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
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These Are Just the Highlights<\/h2>\n\n\n\n

Explore the full range of Opik’s features and capabilities in our developer documentation or check out the full repo on GitHub.<\/p>\n\n\n\n

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GitHub<\/a><\/div>\n\n\n\n
Documentation<\/a><\/div>\n<\/div>\n<\/div>\n\n\n\n
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Opik’s Advantages<\/h2>\n\n\n\n

Opik differentiates itself through its agent optimizer, support for multi-turn conversations and agent frameworks, advanced multi-turn conversation capabilities, true open-source nature, and native guardrails for self-hosted deployments.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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Advanced Prompt Optimization<\/h3>\n<\/div>\n\n\n\n

Opik’s Agent Optimizer<\/a> offers six unique optimization algorithms to generate and refine the best prompts for each step in your agentic system.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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True Framework Freedom<\/h3>\n<\/div>\n\n\n\n

Support for 12+ agent frameworks means you’re never locked into a specific ecosystem. Integrate Opik seamlessly with CrewAI, AutoGen, and more.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Production-Ready Multi-Turn <\/h3>\n<\/div>\n\n\n\n

Opik provides comprehensive multi-turn conversation handling with logging, human-in-the-loop<\/a> feedback, and evaluation metrics that are effective in production.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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Open-Source Advantage<\/h3>\n<\/div>\n\n\n\n

No vendor lock-in, transparent development, and community contributions. Host it yourself or use our cloud offering.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Built-In Safety & Security<\/h3>\n<\/div>\n\n\n\n

Opik offers native guardrails for self-hosted deployments, to ensure your AI systems stay compliant and safe from risks inherent in LLMs.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Truly Scalable Performance<\/h3>\n<\/div>\n\n\n\n

Opik is built for speed, even at massive scale in production, with a fast UI, efficient ingestion, and responsive workflows that don’t slow you down.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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LangSmith’s Advantages<\/h2>\n\n\n\n

LangSmith differentiates itself through a deep LangGraph Studio integration, strong annotation capabilities, advanced prompt testing through the prompt playground, and user-friendly workflows within its native ecosystem.<\/p>\n<\/div>\n\n\n\n

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LangGraph Studio Integration<\/h3>\n<\/div>\n\n\n\n

LangSmith delivers a deep integration with LangGraph Studio, providing users with a visual environment to build, test and iterate on agents directly.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Ease of Use Within Ecosystem<\/h3>\n<\/div>\n\n\n\n

LangSmith works seamlessly with the LangChain & OpenAI ecosystem, providing user-friendly workflows and automation capabilities.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Advanced Annotation UI<\/h3>\n<\/div>\n\n\n\n

LangSmith’s LLM trace annotation features offer flexibility, precision, and intuitive cross-functional collaboration for smooth application debugging. <\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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\"pattern<\/a><\/figure>\n<\/div>\n\n\n\n

“Opik being open-source was one of the reasons we chose it. Beyond the peace of mind of knowing we can self-host if we want, the ability to debug and submit product requests when we notice things has been really helpful in making sure the product meets our needs.\u201d<\/p>\n\n\n\n

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\"Jeremy<\/figure>\n\n\n\n
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Jeremy Mumford<\/strong><\/p>\n\n\n\n

Lead AI Engineer, Pattern<\/a><\/strong><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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Ready to Upgrade Your AI Development Workflows?<\/h2>\n\n\n\n

Join the growing number of developers who’ve turned to Opik for superior performance, flexibility, and advanced features when building AI applications.<\/p>\n\n\n\n

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Create Free Account<\/a><\/div>\n\n\n\n
Contact Sales<\/a><\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Opik vs. Langsmith Feature Comparison Opik and LangSmith are platforms used for LLM evaluation, LLM observability, and LLM monitoring of AI applications. Opik is designed as a framework-agnostic, open-source platform that emphasizes flexibility, advanced evaluation, and production-readiness. LangSmith shines in its native integration with the LangChain ecosystem, offering a smooth experience when paired with LangChain […]<\/p>\n","protected":false},"author":132,"featured_media":19025,"parent":17633,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"wp-custom-template-pages-dark","meta":{"customer_name":"","customer_description":"","customer_industry":"","customer_technologies":"","customer_logo":"","footnotes":""},"coauthors":[125],"class_list":["post-17635","page","type-page","status-publish","has-post-thumbnail","hentry"],"yoast_head":"\nOpik vs. LangSmith<\/title>\n<meta name=\"description\" content=\"Discover the feature breakdown between Opik and LangSmith for LLM evaluation requirements.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.comet.com\/site\/products\/opik\/compare\/langsmith-vs-opik\/\" \/>\n<meta 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