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Opik

Build Self-Optimizing Agents with Opik's AI Observability Tools

Open Source

About Opik

Opik is a cutting-edge open-source AI observability and evaluation platform, designed to optimize and enhance the performance of language model applications. As AI technology continues to evolve in 2026, the need for robust tools to monitor and improve AI systems has become paramount. Opik stands out by providing comprehensive tools for logging, annotating, and evaluating the outputs of language models throughout their development and production lifecycle. Trusted by over 150,000 developers and thousands of companies worldwide, Opik offers a reliable solution to gain insights into AI systems, enabling developers to understand and improve their models effectively. Its unique capability to automatically surface and ship measurable improvements in agentic systems makes it an indispensable tool for AI developers. By leveraging Opik, users can save time and reduce guesswork, as the platform automatically generates and tests prompts, recommending top performers based on example datasets and desired metrics. This ensures that AI agents are not only optimized but also aligned with business goals, ultimately leading to better decision-making and innovation. With features like LLM trace logging, human feedback integration, and automated evaluation metrics, Opik provides a holistic approach to AI observability, making it a preferred choice for forward-thinking organizations. Whether you are a small startup or a large enterprise, Opik's flexible hosting and deployment options, coupled with its enterprise-grade reliability and security, make it a versatile and trustworthy partner in your AI journey.

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Opik Key Features

Comprehensive LLM Observability

Opik provides a robust framework for logging and visualizing LLM calls, allowing developers to gain deep insights into the behavior of language models. This feature is crucial for debugging and optimizing AI applications, ensuring that developers can track and understand the flow of data and decisions made by the models.

Automated Prompt Optimization

Opik automatically generates and tests prompts within agentic systems, recommending the most effective ones based on predefined metrics. This feature saves developers time by eliminating guesswork and ensuring that language models perform optimally in various scenarios.

Human Feedback Integration

The platform allows subject matter experts to annotate and review LLM outputs directly within Opik. This collaborative feature ensures that human insights are incorporated into the evaluation process, enhancing the accuracy and reliability of AI applications.

Real-Time Production Monitoring

Opik continuously evaluates AI applications in production, scoring new data against established metrics to quickly identify and address emerging issues. This proactive monitoring helps maintain high performance and reliability in live environments.

Flexible Hosting and Deployment

Opik offers multiple deployment options, including self-hosting, cloud-based solutions, and custom deployments. This flexibility allows organizations to choose the best setup for their specific needs, ensuring seamless integration into existing workflows.

Enterprise-Grade Security

Built on Comet's infrastructure, Opik ensures high levels of security and reliability, meeting the standards required by large organizations. This feature provides peace of mind for enterprises concerned with data privacy and compliance.

Integration with Popular ML Frameworks

Opik seamlessly integrates with popular machine learning frameworks like PyTorch, TensorFlow, and Hugging Face, enabling developers to track and evaluate their models with minimal setup. This integration capability enhances the platform's versatility and ease of use.

Automated LLM Evaluation Metrics

Opik provides automated evaluation metrics for language models, such as hallucination detection and context precision. These metrics help developers assess the quality of their models and make data-driven improvements.

Customizable Evaluation Datasets

Users can define custom datasets to evaluate their LLM applications, allowing for tailored assessments that match specific business needs. This feature ensures that evaluations are relevant and aligned with organizational goals.

Scalable Testing and Experimentation

Opik supports large-scale testing and experimentation, enabling teams to run extensive evaluations and iterate quickly. This scalability is essential for organizations looking to innovate and improve their AI solutions continuously.

Opik Pricing Plans (2026)

Recommended

Free

Free /monthly
  • Basic observability tools
  • Limited automated optimization
  • Community support
  • Access to open-source features
  • Limited to small projects
  • Fewer integrations
Recommended

Pro

$20/month /monthly
  • Enhanced observability
  • Full automated optimization
  • Priority support
  • Advanced integrations
  • May not include enterprise-grade features
Recommended

Enterprise

Custom pricing /yearly
  • Full feature access
  • Custom deployment options
  • Dedicated support
  • Enterprise-grade security
  • Higher cost

Opik Pros

  • + Automated optimization of AI prompts saves time and enhances efficiency.
  • + Comprehensive LLM trace logging provides deep insights into AI systems.
  • + Integration of human feedback allows for precise improvements and adjustments.
  • + Flexible hosting options cater to various organizational needs.
  • + Enterprise-grade reliability ensures consistent performance at scale.
  • + Easy integration with existing systems minimizes setup time and effort.

Opik Cons

  • May require a learning curve for users unfamiliar with AI observability tools.
  • Advanced features might be overwhelming for small teams or individual developers.
  • Customization options could be limited for highly specialized applications.
  • Pricing for enterprise solutions may be prohibitive for smaller companies.
  • Dependence on human feedback can introduce subjectivity in evaluations.

Opik Use Cases

Debugging Complex LLM Applications

Developers use Opik to trace and debug complex language model applications, identifying issues in data flow and decision-making processes. This use case is essential for improving model reliability and performance.

Optimizing Customer Support Chatbots

Enterprises leverage Opik to optimize the prompts and responses of customer support chatbots, ensuring they provide accurate and helpful information to users. This results in improved customer satisfaction and reduced support costs.

Enhancing Content Moderation Systems

Organizations use Opik to evaluate and improve content moderation systems, ensuring that language models accurately identify and filter inappropriate content. This use case is critical for maintaining safe and compliant online environments.

Developing Personalized Recommendation Engines

Opik helps developers fine-tune recommendation engines by evaluating the relevance and precision of language model outputs. This leads to more personalized and effective recommendations for users.

Automating Financial Report Analysis

Financial institutions use Opik to automate the analysis of financial reports, ensuring that language models accurately interpret and summarize complex data. This use case enhances decision-making and reduces manual workload.

Improving Virtual Assistant Interactions

Opik is used to optimize virtual assistant interactions, ensuring that language models understand and respond to user queries accurately. This results in more natural and effective user experiences.

Monitoring AI-Powered Marketing Campaigns

Marketing teams use Opik to monitor and evaluate AI-powered campaigns, ensuring that language models generate engaging and relevant content. This use case helps maximize campaign effectiveness and ROI.

Ensuring Compliance in Legal Document Processing

Legal firms leverage Opik to evaluate the accuracy and compliance of language models used in document processing. This use case is crucial for maintaining legal standards and reducing the risk of errors.

What Makes Opik Unique

Open-Source Platform

Opik is a truly open-source platform, allowing users to customize and extend its capabilities. This differentiates it from competitors that offer closed, proprietary solutions.

Comprehensive LLM Observability

Opik provides unparalleled observability for language models, enabling users to trace and understand complex AI systems. This level of insight is not commonly found in other platforms.

Seamless Integration with Comet

Opik is powered by Comet's enterprise-grade infrastructure, offering reliable performance and security. This integration ensures that users benefit from a robust and trustworthy platform.

Automated Prompt Engineering

Opik's ability to automatically generate and test prompts sets it apart from competitors, providing users with a powerful tool for optimizing language model performance.

Flexible Deployment Options

Opik offers a range of hosting and deployment options, including self-hosting and cloud solutions. This flexibility allows organizations to tailor the platform to their specific needs, unlike more rigid competitor offerings.

Who's Using Opik

Enterprise Teams

Enterprise teams use Opik to monitor and optimize large-scale AI applications, ensuring high performance and compliance with industry standards. They benefit from the platform's scalability and security features.

AI Researchers

AI researchers leverage Opik to experiment with and evaluate new language model architectures, gaining insights that drive innovation. The platform's comprehensive observability tools are particularly valuable for this user group.

Freelancers

Freelancers use Opik to enhance their AI projects, benefiting from the platform's ease of use and integration capabilities. They appreciate the ability to quickly set up and evaluate their models without extensive resources.

Data Scientists

Data scientists rely on Opik to track and optimize their machine learning experiments, ensuring that models are reproducible and explainable. The platform's experiment management features are crucial for this user type.

Software Developers

Software developers use Opik to integrate and monitor AI components within their applications, ensuring seamless functionality and performance. The platform's flexible deployment options are particularly beneficial for developers.

Educational Institutions

Educational institutions use Opik to teach and demonstrate AI concepts, providing students with hands-on experience in evaluating and optimizing language models. The platform's open-source nature makes it accessible for educational purposes.

How We Rate Opik

7.8
Overall Score
Opik is a robust and reliable platform for AI observability, offering significant benefits for organizations looking to optimize AI models.
Ease of Use
8
Value for Money
7
Performance
8
Support
7.5
Accuracy & Reliability
8
Privacy & Security
7.5
Features
8
Integrations
8
Customization
7.5

Opik vs Competitors

Opik vs Warestack

Warestack is a strong competitor, offering similar AI observability tools. However, Opik's open-source nature and comprehensive feature set provide a more flexible and customizable solution.

Advantages
  • + Open-source platform
  • + Comprehensive observability
  • + Automated optimization
  • + Flexible deployment options
Considerations
  • Warestack may offer more extensive documentation
  • Potentially more cost-effective for smaller teams

Opik Frequently Asked Questions (2026)

What is Opik?

Opik is an open-source AI observability and evaluation platform designed to optimize and enhance the performance of language model applications.

How much does Opik cost in 2026?

Opik offers a free tier, with Pro plans starting at $20/month and enterprise pricing available on request.

Is Opik free?

Yes, Opik offers a free tier with basic features suitable for small projects and individual developers.

Is Opik worth it in 2026?

Yes, Opik provides comprehensive tools for AI optimization, making it a valuable investment for organizations looking to enhance their AI systems.

Best Opik alternatives in 2026?

Alternatives include Warestack, Opsera, TraceRoot AI, Zuzia.app, and Calmo.

Opik vs competitors in 2026?

Opik offers unique features like open-source access and comprehensive observability, setting it apart from competitors like Warestack and Opsera.

How to get started with Opik?

To get started with Opik, sign up for a free account on their website and follow the integration guide to add Opik to your project.

What platforms does Opik support?

Opik supports various platforms, including LangChain, OpenAI, Pytorch, and more, offering seamless integration capabilities.

Is Opik safe and secure?

Opik is backed by Comet's enterprise-grade infrastructure, ensuring reliable and secure performance.

Who should use Opik?

Opik is ideal for AI developers, enterprises, research institutions, healthcare providers, and marketing agencies looking to optimize AI models.

What's new in Opik 2026?

In 2026, Opik has introduced enhanced automated optimization features and improved integration capabilities.

How does Opik compare to alternatives?

Opik offers unique advantages such as open-source access and comprehensive observability, making it a strong competitor against alternatives like Warestack and Opsera.

Opik on Hacker News

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Opik Company

Founded
1998
28.0+ years active

Opik Quick Info

Pricing
Open Source
Upvotes
89
Added
January 3, 2026

Opik Is Best For

  • AI Developers seeking to optimize language models.
  • Enterprises needing reliable AI observability tools.
  • Research institutions focused on AI innovation.
  • Healthcare providers using AI for diagnostics.
  • Marketing agencies optimizing AI-driven campaigns.

Opik Integrations

LangChainOpenAIPytorchPytorch LightningHugging FaceKeras

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