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Audited 2026-08-14 · RXed table v1.0

Opik (Comet)

Visit comet.com
“Open-Source LLM Observability, Evaluation & AI Agent Tracing” — the vendor’s own words

Apache-2.0 with the whole product in the free self-host and the cheapest managed tier in the category at 19 dollars, and the only platform here that will block a PII leak before it reaches a user, as long as you self-host, because the guardrails run nowhere else.

Best for: Teams that want to own their evaluation and observability stack outright under a permissive licence, and small teams in particular, because the self-host has no span cap, no retention cap and no seat cap. It is the strongest pick if regression testing and automated prompt or tool-schema optimization are the actual job rather than dashboards, and the only pick here if you need to block PII or off-topic output before it reaches a user without buying a separate guardrail vendor. Also a sensible default for teams already using Comet for classical ML experiment tracking, since both run on the same platform. Less convincing if nobody can carry five stateful services in production, if you need SSO or fine-grained RBAC without an enterprise contract, or if you want the vendor's AI assistant and refuse to leave your own infrastructure to get it.
Scope15/20
Quality7/10
Where the quality sits
7Reactive
7Retrieval & Memory
7Orchestration
8Validation
6Models
Open sourceAutomation & AgentsCodingProductivityFreemium
Vendor
Comet ML, Inc. · www.comet.com
Origin
US — New York
Pricing
Open source (self-hosted) $0 · Free Cloud $0 · Pro Cloud $19/user/mo · Enterprise Custom · Academic $0
Users (official only)
150,000+ users, 10,000+ teams, 21,000+ GitHub stars (21,358 verified via the GitHub API on 14/08/2026) (source, 2026-08-14)
Open source (self-hosted)$0Apache-2.0, unlimited spans, unlimited retention, unlimited team members, full observability and evaluation feature set, and the only tier where AI Guardrails run. No OpikAssist, no Opik Connect, no RBAC, no SSO. You operate MySQL, ClickHouse, Redis, MinIO and ZooKeeper yourself
Free Cloud$025,000 spans per month, 60-day retention, up to 10 members, OpikAssist included, unlimited API rate limits. No guardrails
Pro Cloud$19/user/mo100,000 spans per month, up to 50 members, 60-day retention, additional spans $5 per 100,000, retention extension to 400 days $29 per 100,000, Opik Connect after a trial on purchased tokens. No RBAC, no SSO
EnterpriseCustomUnlimited spans and members, custom retention, project and organisation-level RBAC, enterprise SSO (OAuth 2.0, SAML, LDAP), custom hosting and deployment, personalised support, increased regulatory compliance
Academic$0Full Pro features free for verified researchers, students and educators

Three things to model before you commit. First, the free self-host is real and unusually complete: Apache-2.0 across the board including the Agent Optimizer SDK, unlimited spans, unlimited retention, unlimited members, and it is the only place the guardrails run at all. Second, the metering unit on cloud is the span, not the request, so an agent that makes six tool calls per user action burns six spans, and a chatty agent will hit the 25,000-span free tier in days. Third, Pro is listed per user per month and cloud retention defaults to 60 days, so the two costs that grow are headcount and history: a team of ten is $190 a month before overage, and pushing 100,000 spans to 400-day retention costs $29 on top of the $5 for the spans themselves.

checked 2026-08-14 · vendor pricing page

Element scores

Reactive
Retrieval & Memory
Orchestration
Validation
Models
Primitives
Pr8
Prompts
Em
Embeddings
Cx7
Context
Tr9
Tracing
Lg6
LLM
Compositions
Fc7
Function calling
Vx
Vector store
Rg5
RAG
Gr8
Guardrails
Mm8
Multimodal
Deployment
Ag7
Agents
Ft
Fine-tuning
Fw8
Frameworks & harnesses
Ev9
Evaluations
Sm
Small models
Emerging
Ma6
Multi-agent
Sy7
Synthetic data
Pc7
Protocols
In
Interpretability
Th5
Thinking models
Tap or hover any element to see why it got that score.

Strengths

Opik is the most honest open-source deal in this category, and the licence is the reason. Apache-2.0 across the whole repository including the Agent Optimizer SDK, with unlimited spans, unlimited retention and unlimited team members on the self-host, and no feature flags to untangle before you find out what you actually got. Evaluation is deep and free everywhere: 30+ built-in LLM-as-judge and heuristic metrics, custom Python metrics, test suites with assertions that produce a plain pass or fail for regression testing, annotation queues with a purpose-built reviewer UI for subject-matter experts who are not engineers, thread-level conversation evaluation, and online evaluation rules that score live traffic as it lands. The Agent Optimizer is the genuine differentiator and nobody else here ships it: eight or more algorithms including GEPA, MIPRO, few-shot Bayesian and a hierarchical reflective optimizer that root-causes failed outputs, tuning not just prompts but tool and MCP schemas from traces you already logged. Guardrails are the second differentiator and they are the real thing rather than a scoring dashboard, blocking PII and off-topic content in the request path with a raised exception before your application can ship the response. Prompt management quietly beats the nearest competitor too, with a red-green version diff and deploy-to environment labels that an independent hands-on test could not find in Langfuse. Add multimedia logging on every tier, a native OpenTelemetry path, 40+ integrations, an MCP server that also points at self-hosted instances, and a company that has been building developer tooling since 2017 rather than since the last funding cycle.

Honest dings

The operational load is the price of the free licence, and it is heavier than the marketing suggests. The production Helm chart brings MySQL, ClickHouse via the Altinity operator, Redis, MinIO and ZooKeeper, which is five stateful services, one more than Langfuse, and the documented gotchas are real: ClickHouse cluster macros are required even on a single node, high-availability installs have to be done in two phases because the earliest analytics migrations predate cluster-aware DDL and fail on replicas that never received the base schema, and the chart migrated off Bitnami images with a one-shot migration flag you must set and then unset. Free is a licence statement, not an effort estimate. Second, the AI layer is inverted against the people most likely to choose Opik: OpikAssist and Opik Connect are unavailable on the open-source build, so teams self-hosting for data control get the least assisted product, while the guardrails are the exact opposite and run only on self-host and not on any cloud tier. That split is confusing and both halves should be stated plainly at purchase. Third, the guardrails have hard limits that are easy to miss: English only, topic checks capped at 1,024 tokens of input, and a GPU node strongly recommended in production, which is a cost line nobody puts in the pricing table. Fourth, cloud pricing is per user per month with a 60-day retention default, so the two things that grow are headcount and history. Fifth, RBAC and SSO are Enterprise-only, not merely Pro-gated, which is stricter than Langfuse where organisation RBAC and SSO are in the free build. Finally, two measured caveats from independent hands-on testing: prompt templating is flat variable substitution with no conditional logic, and the Python track_openai wrapper added about 102 ms per call in that tester's session. The tester was explicit that this number came from a separate session to their Langfuse measurement and should not be read as a head-to-head, so benchmark it against your own baseline before instrumenting a latency-sensitive path.

Prices and details change — this passport is re-verified at least quarterly.
Sources (12) — every claim traceable

Every audit lists the research it rests on — transparency and traceability are the product. Tools evolve: each audit is a snapshot of its audit date, and re-audits supersede older versions (kept below for reference).

  • comet.com/site/pricing — Official pricing and feature matrix verified live 14/08/2026: open source $0 with unlimited spans, retention and members, Free Cloud 25k spans and 60-day retention, Pro $19 per user per month with 100k spans, $5 per additional 100k and $29 per 100k to extend retention to 400 days, Enterprise custom. Also the two findings that shape the scores: AI Guardrails are available only in the self-hosted column, and OpikAssist and Opik Connect are unavailable on the open-source build. RBAC and enterprise SSO are Enterprise-only; API rate limits are unlimited on all tiers (accessed 2026-08-14)
  • comet.com/docs/opik/production/guardrails — Official guardrails documentation and the primary evidence for the Guardrails score: PII detection by named-entity recognition, topic restriction by zero-shot classifier, custom guards, a blocking validate() call that raises GuardrailValidationFailed before the response ships, chunk-by-chunk validation for streaming. Also the limits: self-hosted installation only with managed support 'coming soon', English only, topic input capped at 1,024 tokens, GPU node strongly recommended for production (accessed 2026-08-14)
  • api.github.com/repos/comet-ml/opik — Primary source for repository facts, queried 14/08/2026: Apache-2.0 licence, 21,358 stars, 1,700 forks, 195 open issues, repository created May 2023, last push 13/08/2026 confirming active development (accessed 2026-08-14)
  • comet.com/site — Official adoption claims: 150,000+ users, 10,000+ teams, 21,000+ GitHub stars, 'trusted by over 150,000 developers and thousands of companies'. Vendor self-reported, not independently audited (accessed 2026-08-14)
  • comet.com/site/about-us — Official company facts: Comet founded 2017, headquartered in New York City with offices in Tel Aviv, global remote-first workforce, CEO and co-founder Gideon Mendels (accessed 2026-08-14)
  • comet.com/docs/opik/prompt_engineering/mcp_server — Official MCP server documentation: npx -y opik-mcp one-line install for Cursor and Windsurf, tools covering project management, prompt read and write, trace querying and project metrics, and the apiBaseUrl flag for pointing at a self-hosted instance (accessed 2026-08-14)
  • comet.com/docs/opik/self-host/kubernetes — Official Kubernetes self-hosting documentation and the source of the operational-load finding: Helm chart dependencies are MySQL, the Altinity ClickHouse operator, MinIO, Redis and ZooKeeper, plus ClickHouse replication and backup configuration, an external-ClickHouse path from chart 1.4.2, and the requirement that Python SDK and deployment versions match (accessed 2026-08-14)
  • comet.com/docs/opik/self-host/troubleshooting — Official troubleshooting guide documenting the real self-host failure modes: ClickHouse cluster macros required even on single-node deployments, and the two-phase high-availability install needed because the earliest analytics migrations predate cluster-aware DDL and fail on replicas that never received the base schema (accessed 2026-08-14)
  • dev.to/ailegend/opik-vs-langfuse-where-two-open-sou… — Independent hands-on test (09/08/2026) building the same agent on both platforms: confirms flat {{variable}} templating with no conditional logic on both, that neither Playground produces a trace without a wrapped SDK call, that Opik ships a real red-green version diff and deploy-to environment labels which the tester could not find in Langfuse, that Opik's guardrails panel has no Langfuse equivalent, and the measured +102 ms track_openai overhead with the explicit caveat that it came from a separate session and is not a head-to-head number (accessed 2026-08-14)
  • llmtools.cc/blog/opik-vs-langfuse — Independent head-to-head (26/07/2026): confirms Apache-2.0 with the full feature set self-hosted, Pro at $19 per month for 100k spans as the cheapest paid cloud in the category, 60+ integrations, and flags the recurring complaints, namely per-seat cost climbing with team size, UI slowdown reported on very large projects, and the 60-day cloud retention default (accessed 2026-08-14)
  • agenticwire.news/article/langfuse-vs-opik — Independent comparison (01/07/2026): confirms Apache-2.0 across the board including the Agent Optimizer SDK, describes the optimizer algorithms including the hierarchical reflective optimizer and MCP tool-schema tuning, and makes the fair counterpoint that Opik's ecosystem of neutral third-party comparisons is still thin (accessed 2026-08-14)
  • bigdataboutique.com/blog/llm-observability-tools-co… — Independent three-way comparison (30/03/2026): places Opik as the youngest of the three with a thinner ecosystem of guides and production case studies, confirms Apache-2.0 with free fully-supported self-hosting, and notes the Comet experiment-tracking heritage as the differentiator for teams already running classical ML workloads (accessed 2026-08-14)