Alternatives to Comet Opik
Open-source LLM evaluation and observability platform from Comet.
Comet Opik ranks #1 of 8 in AI evaluation platforms, with an Alt Score of 100. It is licensed under Apache-2.0, open source with paid hosting from $19/month (USD) and available on the web. 13 of 13 checklist rows are verified against a public source.
Opik is an open-source LLM evaluation platform from Comet for tracing, evaluating, and monitoring LLM applications, with datasets, LLM-as-judge metrics, and a prompt playground.
AI engineering teams building LLM applications and agents who need observability, evaluation, and production monitoring — from individual developers using the free open-source or free cloud tier to enterprises wanting flexible, compliant self-hosted deployments. It works with any LLM stack via Python, TypeScript, and Ruby SDKs plus 40+ framework and model-provider integrations.
A unified LLM engineering platform covering tracing and observability (full execution trees, multi-turn threads, cost/token tracking), a prompt playground and versioned Prompt Library, dataset management, automated evaluation (LLM-as-a-judge and heuristic metrics, experiments for A/B testing and regression, a Pytest integration for CI/CD), human annotation queues for subject matter experts, and production monitoring dashboards with online evaluation rules. The full featureset is available in the open-source, self-hostable version.
Developers instrument their app with the Opik Python or TypeScript SDK (or an OpenTelemetry-based integration) to send traces to either Comet's hosted Opik Cloud or a self-hosted instance run via Docker Compose (`./opik.sh`) or a Kubernetes Helm chart. From there, teams build test suites from real production failures, run evaluations and experiments against datasets, route outputs to annotation queues for human review, and track cost, latency, and feedback scores through dashboards and online evaluation rules.
Where Comet Opik stands out
Verified capabilities most alternatives don't have.
Why people leave Comet Opik
Dashed reasons are sourced facts; the rest are opinions. Vendors can dispute.
Sign in to add a reason — new reasons go through moderation before appearing.
Ranked alternatives
Ordered by Alt Score. Click any score to see the breakdown.
Langfuse is an open-source LLM engineering platform providing tracing, prompt management, evaluations, datasets, and analytics for LLM applications; self-hostable or cloud.
Phoenix is an open-source observability and evaluation library from Arize AI for tracing, evaluating, and troubleshooting LLM applications, built on OpenTelemetry.
Braintrust is an evaluation and observability platform for AI products, with datasets, LLM-as-judge scorers, prompt playground, and production logging.
HoneyHive is an AI evaluation and observability platform for testing, tracing, and monitoring LLM applications, with datasets, LLM-as-judge evaluators, and human review.
LangSmith is a platform for debugging, testing, evaluating, and monitoring LLM applications, with tracing, datasets, and LLM-as-judge evaluations.
Weave is the Weights & Biases toolkit for tracking, evaluating, and monitoring LLM applications, with tracing, scorers, and experiment comparison.
Feature comparison
Rows come from the AI evaluation platforms checklist (17 rows). Human-verified cells only. ? means the value has not been verified.
| AI evaluation platforms checklist | Comet Opik | Langfuse | Arize Phoenix | Braintrust | HoneyHive | LangSmith |
|---|---|---|---|---|---|---|
| Pricing model | ||||||
| Starts at | ||||||
| License | ||||||
| Platforms | ||||||
| Open source | ||||||
| Self-hostable | ||||||
| Tracing / observability | ||||||
| Prompt playground & versioning | ||||||
| Dataset management | ||||||
| LLM-as-judge evals | ||||||
| Human annotation / review | ||||||
| Online (production) monitoring | ||||||
| A/B experiments | ||||||
| CI / regression testing | ||||||
| Cost & token tracking | ||||||
| Framework-agnostic SDK | ||||||
| Free tier |
Sources & verification
18
Every fact and feature listed for Comet Opik is verified against its own pages. Each alternative is sourced on its own page.
-
License Apache-2.0 verified 2026-07-17
Copyright header reads 'Copyright (c) Comet ML, Inc'; full LICENSE text is the standard Apache License 2.0.
Apache License Version 2.0, January 2004
https://raw.githubusercontent.com/comet-ml/opik/main/LICENSE -
Pricing model OSS + paid hosting verified 2026-07-17
You can download and self-host the open-source version, or let us handle the infrastructure with the free cloud version.
https://www.comet.com/site/pricing/ -
Starts at $19/month (USD) verified 2026-07-17
Cheapest paid Opik Cloud tier (Pro Cloud). The Open Source (self-host) and Free Cloud tiers are $0.
Pro Cloud Popular Expanded usage for teams $19 Per month Start Free Trial
https://www.comet.com/site/pricing/ -
Status active verified 2026-07-17
pushed_at": "2026-07-17T06:10:14Z"" — GitHub repo shows a push on the same day as this research (2026-07-17), 20,643 stars, and is not archived.
https://api.github.com/repos/comet-ml/opik -
Platforms Web verified 2026-07-17
Accessed via web app (Comet cloud or self-hosted); Python/TypeScript/Ruby SDKs are not part of the platforms enum.
Opik will now be available at http://localhost:5173
https://www.comet.com/docs/opik/self-host/local_deployment -
Open source Yes verified 2026-07-17
Opik (built by Comet) is an open-source platform designed to streamline the entire lifecycle of LLM applications.
https://raw.githubusercontent.com/comet-ml/opik/main/README.md -
Self-hostable Yes verified 2026-07-17
Deploy Opik in your own environment. Choose between Docker for local setups or Kubernetes for scalability.
https://raw.githubusercontent.com/comet-ml/opik/main/README.md -
Tracing / observability Yes verified 2026-07-17
Opik gives you full visibility into every request your agent handles. Every LLM call, every tool invocation, every retrieval step is captured as a trace you can inspect, search, and analyze.
https://www.comet.com/docs/opik/tracing/overview -
Prompt playground & versioning Yes verified 2026-07-17
Versioning confirmed separately: 'Every change to a prompt in the Prompt Library creates a new immutable version, numbered sequentially as v1, v2, v3' (https://www.comet.com/docs/opik/development/prom
The Playground lets you test prompt changes and compare models without writing code. Create multiple prompt variants, run them side by side, and validate the results against a test suite
https://www.comet.com/docs/opik/development/prompt-playground -
Dataset management Yes verified 2026-07-17
Datasets can be used to track test cases you would like to evaluate your LLM on. Each dataset is made up of a dictionary with any key value pairs.
https://www.comet.com/docs/opik/evaluation/advanced/manage_datasets -
LLM-as-judge evals Yes verified 2026-07-17
LLM as a Judge metrics – delegate scoring to an LLM so you can capture semantic, task-specific, or conversation-level quality signals.
https://www.comet.com/docs/opik/evaluation/metrics/overview -
Human annotation / review Yes verified 2026-07-17
Annotation Queues in Opik make it simple for subject matter experts (SMEs) to review and annotate agent outputs.
https://www.comet.com/docs/opik/evaluation/advanced/annotation_queues -
Online (production) monitoring Yes verified 2026-07-17
Opik has been designed from the ground up to support high volumes of traces making it the ideal tool for monitoring your production LLM applications.
https://www.comet.com/docs/opik/tracing/dashboards/production_monitoring -
A/B experiments Yes verified 2026-07-17
Use Experiments for benchmarking, A/B testing, and regression testing.
https://www.comet.com/site/pricing/ -
CI / regression testing Yes verified 2026-07-17
Opik provides a Pytest integration so that you can easily track the overall pass / fail rates of your tests as well as the individual pass / fail rates of each test.
https://www.comet.com/docs/opik/v1/testing/pytest_integration -
Cost & token tracking Yes verified 2026-07-17
Opik has been designed to track and monitor costs for your LLM applications by measuring token usage across all traces.
https://www.comet.com/docs/opik/tracing/advanced/cost_tracking -
Framework-agnostic SDK Yes verified 2026-07-17
Integrations overview page also lists native SDKs/integrations for Java, .NET, and 40+ frameworks and model providers.
This includes SDKs for Python, TypeScript, and Ruby (via OpenTelemetry), allowing for seamless integration into your workflows.
https://raw.githubusercontent.com/comet-ml/opik/main/README.md -
Free tier Yes verified 2026-07-17
Open Source self-host tier is also $0 with the full feature set: 'True OSS: same codebase as the hosted versions'.
Free Cloud Perfect for individuals $0 Free plan Get Started Up to 10 team members 25k spans per month 60-day data retention
https://www.comet.com/site/pricing/
FAQ
Yes. Arize Phoenix, Braintrust and HoneyHive have a free tier or are fully free. Free-tier limits in the comparison table are verified and dated.
Langfuse, Arize Phoenix and Braintrust — every license claim links its source.