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LLM Observability & Evals🔴Developer
C

Opik by Comet

Open-source LLM evaluation and observability framework: trace, evaluate, monitor, and improve LLM applications.

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💡

In Plain English

Open-source LLM evaluation and observability framework: trace, evaluate, monitor, and improve LLM applications.

OverviewFeaturesPricingGetting StartedUse CasesLimitationsFAQAlternatives

Overview

Opik by Comet is an Apache-2 open-source LLM evaluation and observability framework with a $0 Open Source plan, a $0 Free Cloud plan for up to 10 team members, 25k spans per month, 60-day retention, and a $19 per month Pro Cloud plan for up to 50 team members and 100k spans per month. Based on the supplied product metadata and current Comet pricing information verified on 2026-06-04, its core focus is the operational lifecycle of LLM applications: tracing application behavior, evaluating outputs, monitoring quality over time, and using those signals to improve prompts and model-backed workflows. This places Opik in the LLM observability and evals category rather than in a general-purpose chatbot, model provider, or prompt-only tool category.

The tool is especially relevant for engineering and machine learning teams that need more structure around how LLM applications behave in development and production. LLM systems can fail in ways that are difficult to detect with ordinary logs alone: responses may be factually weak, inconsistent, overly verbose, missing required constraints, or sensitive to small prompt and retrieval changes. Opik’s stated scope addresses that problem by combining tracing and evaluation workflows so teams can inspect what happened in an LLM call path and judge whether the resulting behavior meets expectations.

The provided metadata also identifies Opik as open source and Apache-2 licensed. That is important for organizations that want the option to inspect the implementation, self-host or extend parts of the stack, or avoid depending entirely on a closed SaaS vendor for evaluation and observability workflows. Open-source licensing can also make the tool more accessible for experimentation, internal platform teams, and organizations with stricter procurement or data governance needs. Current hosted pricing adds a concrete cloud path: Free Cloud is $0 with 10 team members, 25k monthly spans, and 60-day retention; Pro Cloud is $19 per month with up to 50 team members, 100k monthly spans, and 60-day retention; Enterprise is custom-priced with unlimited team members and custom usage plans.

Opik appears to cover several adjacent capabilities that often need to work together in mature LLM development: tracing, evals, monitoring, test suites, assertions, agent playground workflows, and prompt-related iteration. Tracing helps teams understand the sequence of steps involved in an LLM-powered request. Evaluation helps teams compare outputs against expected behavior or quality criteria. Monitoring helps track whether application quality changes over time. Prompt iteration supports changes to the instructions and templates that shape model behavior. Together, these capabilities are useful for teams moving from prototypes to production systems, where repeatability, debugging, and quality measurement matter.

The supplied scraped website content itself is hard-trimmed and mostly contains browser monitoring JavaScript rather than detailed product copy, feature pages, screenshots, deployment instructions, or integration documentation. Because of that, this directory entry avoids claiming specific SDK languages, exact UI workflows, model-provider support, hosting architecture, API authentication style, or unsupported release-note details that were not present in the provided content. The strongest factual characterization supported by the supplied material and pricing verification is that Opik by Comet is a freemium, Apache-2, open-source framework for LLM observability, tracing, evaluation, monitoring, prompt-related iteration, and improvement of LLM applications.

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Key Features

Trace & Span Logging+

Capture and inspect the steps involved in an LLM application request so teams can understand how prompts, model calls, and application logic contribute to outputs.

Use Case:

Debug why a RAG pipeline returned an incorrect answer by reviewing the application steps that led to the final response.

LLM Application Improvement+

Use trace, evaluation, monitoring, and prompt-related workflows together to support iterative improvement of LLM-backed features.

Use Case:

Improve a customer support agent's response quality by comparing prompt changes against an evaluation dataset.

Open-Source Reviewability+

The supplied metadata identifies Opik as open source with an Apache-2 tag, which can help teams inspect, extend, or evaluate the tool before committing to a hosted workflow.

Use Case:

Assess whether an open-source observability framework fits internal engineering and governance requirements.

Evaluation & Scoring+

Run evaluation workflows, including test suites and assertions referenced in current plan inclusions, to help teams judge whether LLM outputs meet expected quality criteria.

Use Case:

Benchmark a new model version against a test set to measure quality changes before deploying.

Prompt Iteration+

Connect prompt changes with trace and evaluation results as part of an observability and evaluation workflow; the supplied metadata includes prompt management as a tag, but exact prompt-management UI details are not confirmed in the supplied scrape.

Use Case:

Track prompt changes alongside evaluation results to understand whether a prompt revision improved behavior.

Production Monitoring+

Monitor LLM application behavior and quality signals over time, while defining the product-specific thresholds and criteria that matter for the application.

Use Case:

Identify and debug quality degradation in a production chatbot by reviewing observed traces and evaluation results.

Pricing Plans

Plan 1

$0

    Plan 2

    $0

      Plan 3

      $19 per month

        Plan 4

        Custom quote

          See Full Pricing →Free vs Paid →Is it worth it? →

          Ready to get started with Opik by Comet?

          View Pricing Options →

          Getting Started with Opik by Comet

          1. 1Review the Opik product page and current documentation to choose between Open Source, Free Cloud, Pro Cloud, and Enterprise: 5-10 minutes
          2. 2Follow the current Opik documentation for installation, authentication, and SDK setup rather than relying on this listing for language-specific install commands: 15-30 minutes
          3. 3Instrument a small LLM application flow and run an initial evaluation workflow to confirm fit before broader rollout: 30-60 minutes
          Ready to start? Try Opik by Comet →

          Best Use Cases

          🎯

          Tracing LLM application requests to understand how prompts, model calls, and application steps contribute to final outputs.

          ⚡

          Building repeatable evaluation workflows for LLM features before shipping changes to production.

          🔧

          Monitoring LLM application quality over time after prompts, models, retrieval logic, or product requirements change.

          🚀

          Managing and improving prompts in a workflow connected to observability and evaluation results.

          💡

          Giving engineering and ML teams a shared framework for debugging LLM behavior across development and production-like environments.

          🔄

          Evaluating whether an open-source, Apache-2 LLM observability framework fits internal governance or extensibility requirements.

          Limitations & What It Can't Do

          We believe in transparent reviews. Here's what Opik by Comet doesn't handle well:

          • ⚠The supplied website scrape is hard-trimmed and mostly contains browser monitoring script content rather than detailed Opik product documentation. Current pricing information has been verified for plan names, prices, seat counts, span limits, and retention: Open Source is $0, Free Cloud is $0 with up to 10 team members, 25k spans per month, and 60-day retention, Pro Cloud is $19 per month with up to 50 team members, 100k spans per month, and 60-day retention, and Enterprise is custom-priced. This listing still cannot factually confirm supported programming languages, framework integrations, model-provider integrations, API style, API authentication method, detailed data retention configuration, deployment architecture, or SLA commitments beyond the high-level enterprise items listed in current pricing. Opik should also be understood as an observability and evaluation framework, not a replacement for product-specific evaluation design: teams still need to define the quality criteria, test datasets, rubrics, and monitoring thresholds that matter for their own LLM applications.

          Pros & Cons

          ✓ Pros

          • ✓Open-source positioning with an Apache-2 tag gives teams a clearer inspection and extensibility path than fully closed LLM observability products.
          • ✓Covers both observability and evaluation, which is useful because tracing alone does not tell teams whether an LLM output was actually good.
          • ✓Explicitly targets LLM application improvement, not just passive logging, aligning the tool with iterative prompt, evaluation, and monitoring workflows.
          • ✓Includes prompt-management as a listed capability, which can help teams connect prompt changes to trace and evaluation results.
          • ✓Freemium pricing creates a lower-friction entry point for teams that want to test LLM tracing and eval workflows before committing to a paid platform.
          • ✓Backed by Comet branding, which may appeal to teams already familiar with Comet’s machine learning tooling ecosystem.

          ✗ Cons

          • ✗Published Opik pricing now lists plan names, prices, seat counts, span limits, and retention for Open Source, Free Cloud, Pro Cloud, and Enterprise, but buyers should still verify overage rules and contract terms directly before purchase.
          • ✗The provided content does not list specific integrations with model providers, orchestration frameworks, vector databases, or deployment environments.
          • ✗Teams looking only for simple API logging may find a full evaluation and observability framework more involved than a lightweight request log tool.
          • ✗Current pricing information lists enterprise compliance items, but implementation details for data residency, retention controls, SLAs, and security architecture still require direct validation with Comet.
          • ✗As an LLM observability and evals tool, it still requires teams to define meaningful evaluation criteria; it cannot automatically determine every product-specific quality standard.

          Frequently Asked Questions

          What is Opik by Comet?+

          Opik by Comet is described as an open-source LLM evaluation and observability framework for tracing, evaluating, monitoring, and improving LLM applications.

          Is Opik open source?+

          Yes. The provided metadata identifies Opik as open source and includes an Apache-2 tag, and current Comet pricing lists an Open Source plan at $0.

          What category does Opik fit into?+

          Opik fits into the LLM Observability & Evals category because its stated capabilities include tracing, evaluation, monitoring, prompt-related iteration, and application improvement.

          Does Opik include prompt management?+

          Prompt management is included in the supplied tags, alongside tracing, evals, observability, and open-source. Exact prompt-management workflow details are not confirmed in the supplied scrape.

          What does Opik cost?+

          Current Comet pricing lists Open Source at $0, Free Cloud at $0 for up to 10 team members with 25k spans per month and 60-day retention, Pro Cloud at $19 per month for up to 50 team members with 100k spans per month and 60-day retention, and Enterprise at a custom quote.
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          What's New in 2026

          This record was last enriched on 2026-06-04. Current Comet pricing information verified on 2026-06-04 lists Opik Open Source at $0, Free Cloud at $0 with up to 10 team members, 25k spans per month, and 60-day retention, Pro Cloud at $19 per month with up to 50 team members, 100k spans per month, and 60-day retention, and Enterprise at a custom quote. No specific 2026 release notes, launch announcements, roadmap items, or newly added features were present in the supplied scraped website content. The current factual positioning remains that Opik by Comet is an open-source, freemium LLM observability and evaluation framework focused on tracing, evaluating, monitoring, prompt-related workflows, and improvement of LLM applications.

          Alternatives to Opik by Comet

          LangSmith

          AI Observability

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

          Arize AI

          ML & LLM Observability

          ML and LLM observability platform with production tracing, evals, drift detection, and the open-source Phoenix project for local LLM debugging.

          Helicone

          LLM Observability

          Open-source LLM observability and AI gateway — logs every prompt, response, cost, and latency across 20+ providers with a one-line proxy or async SDK, plus caching, retries, and prompt experiments.

          Braintrust

          LLM Observability

          AI observability platform for evals, production tracing, prompt management, and regression detection.

          View All Alternatives & Detailed Comparison →

          User Reviews

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          Quick Info

          Category

          LLM Observability & Evals

          Website

          comet.com/site/products/opik
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