Opik vs. Traceloop Comparison


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About Confidently evaluate, test, and ship LLM applications with a suite of observability tools to calibrate language model outputs across your dev and production lifecycle. Log traces and spans, define and compute evaluation metrics, score LLM outputs, compare performance across app versions, and more. Record, sort, search, and understand each step your LLM app takes to generate a response. Manually annotate, view, and compare LLM responses in a user-friendly table. Log traces during development and in production. Run experiments with different prompts and evaluate against a test set. Choose and run pre-configured evaluation metrics or define your own with our convenient SDK library. Consult built-in LLM judges for complex issues like hallucination detection, factuality, and moderation. Establish reliable performance baselines with Opik's LLM unit tests, built on PyTest. Build comprehensive test suites to evaluate your entire LLM pipeline on every deployment.	About Traceloop is a comprehensive observability platform designed to monitor, debug, and test the quality of outputs from Large Language Models (LLMs). It offers real-time alerts for unexpected output quality changes, execution tracing for every request, and the ability to gradually roll out changes to models and prompts. Developers can debug and re-run issues from production directly in their Integrated Development Environment (IDE). Traceloop integrates seamlessly with the OpenLLMetry SDK, supporting multiple programming languages including Python, JavaScript/TypeScript, Go, and Ruby. The platform provides a range of semantic, syntactic, safety, and structural metrics to assess LLM outputs, such as QA relevancy, faithfulness, text quality, grammar correctness, redundancy detection, focus assessment, text length, word count, PII detection, secret detection, toxicity detection, regex validation, SQL validation, JSON schema validation, and code validation.
Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Developers looking for a solution to evaluate, test, and monitor their LLM applications	Audience Developers and organizations seeking a tool to manage the observability, debugging capabilities, and output quality assurance in their AI applications
Support Phone Support Supported 24/7 Live Support Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing $39 per month Free Version Supported Free Trial Supported	Pricing $59 per month Free Version Supported Free Trial Supported
Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 4.0 / 5 support 5.0 / 5 Read all reviews	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software
Pros & Cons from Real Users Pros My team has switched to Opik from Arize about 4 months ago. We have evaluated Arize, Langfuse, Opik and Langsmith. Overall Opik was the best platform. Phoenix OSS doesn't have half the features, Langsmith is nice but super expensive and not OSS and Langfuse is brittle and has tons of performance issues. We found one bug on Opik, opened a PR on the GH repo and it was fixed and merged in less than 5 hours. Cons Personally I think they can make the UI a bit prettier.
Training Documentation Supported Webinars Supported Live Online Supported In Person Supported	Training Documentation Supported Webinars Not Supported Live Online Supported In Person Not Supported
Company Information Comet Founded: 2017 United States www.comet.com/site/products/opik/	Company Information Traceloop Founded: 2022 Israel www.traceloop.com
Alternatives Maxim	Alternatives Arize AI
DeepEval Confident AI	Langfuse
Respan	Braintrust Braintrust Data
Selene 1 atla	Maxim
ArtificialQA QAlified View All	Openlayer View All
Categories LLM Evaluation Supported	Categories AI Agent Observability Supported LLM Evaluation Supported

Integrations LiteLLM Supported Amazon Web Services (AWS) Not Supported Claude Supported Claude for Legal Supported Flowise Supported Go Not Supported Hugging Face Supported JSON Not Supported JavaScript Not Supported Kong AI Gateway Supported LangChain Supported OpenAI o1 Supported Pinecone Supported Pinecone Rerank v0 Not Supported Predibase Supported Python Not Supported Ragas Supported SQL Not Supported TypeScript Not Supported VoltAgent Not Supported Show More Integrations View All 16 Integrations	Integrations LiteLLM Supported Amazon Web Services (AWS) Supported Claude Not Supported Claude for Legal Not Supported Flowise Not Supported Go Supported Hugging Face Not Supported JSON Supported JavaScript Supported Kong AI Gateway Not Supported LangChain Not Supported OpenAI o1 Not Supported Pinecone Not Supported Pinecone Rerank v0 Supported Predibase Not Supported Python Supported Ragas Not Supported SQL Supported TypeScript Supported VoltAgent Supported Show More Integrations View All 12 Integrations
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