FiboRisk Model Monitoring vs Opik
FiboRisk Model Monitoring
fiborisk.aiOpik
comet.comSide by side
| Figure | FiboRisk Model Monitoring | Opik |
|---|---|---|
| Price from | — | $19/mo |
| Free plan | — | Yes |
| Free trial | — | Yes |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 4 |
| Spec score · Machine Learning Model Monitoring Software | 6.9 (#16) | 8.8 (#4) |
| Integrations | Approved integrations are scoped as part of the platform environment, while the pricing page says integrations and related costs are confirmed in the SOW. | The integration catalog covers TypeScript, Python, Java, .NET and Ruby ecosystems plus no-code tools and OpenTelemetry. |
| Purpose | Monitors model performance, drift, bias, latency, overrides, and realized outcomes against the accepted model and policy version. | Opik logs agent actions and provides automated evaluation workflows to find and fix errors across development, testing, and production. |
Plans
FiboRisk Model Monitoring
- FiboRisk Model MonitoringPriced on request
In their own words
FiboRisk Model Monitoring
FiboRisk Model Monitoring is web software for monitoring model performance, drift, bias, latency, overrides, and realized outcomes against an accepted model and policy version. Listed capabilities include performance monitoring, drift detection, bias and segment review, and alert management. Evidence objects connect datasets, models, policies, decisions, reviewers, and release states. Evidence records can version dataset and feature details, model and policy versions, acceptance status, reviewer role, and decision timestamps; records are attributable and exportable within the agreed delivery scope. The product is aimed at validation or audit teams and defines roles for validation, approval, operation, and audit. Delivery uses a dedicated tenant or agreed private deployment. Production access follows model and environment acceptance, with named-user invitations managed by customer administrators. Security, privacy, data, retention, transfer, encryption, export, and deletion controls are defined for each deployment boundary. Integrations and costs are confirmed in the statement of work.
Opik
Opik helps teams building applications or agents that call an LLM log actions and evaluate behavior across development, testing, and production. It captures and visualizes traces, supports annotation, and provides audit logs. Its evaluation tools include more than 30 metrics for outcomes such as answer relevance, context precision, task completion, and hallucination. In production, Opik can evaluate traces in real time, alert when criteria fail, and track token use and model costs. Test Suites offer pass/fail assertions, an Agent Playground supports end-to-end tests, and a Prompt Optimizer provides six algorithms. Core observability and evaluation features are available as open-source code for local use. Opik includes a REST API and Python client, with Python and TypeScript SDKs listed, and integrations with more than 40 frameworks, model providers, and gateways. Free Cloud allows up to 10 team members, 25,000 spans per month, and 60-day retention. Pro Cloud costs $19 a month and lists up to 50 team members and 100,000 spans monthly.