Evidently AI
8.3#2 in machine learning model monitoring softwareFrom $80 a monthFree planWebAPILinuxmacOS
VisitEvidently AI vs Opik
What both publish
| Fact | Evidently AI | Opik |
|---|---|---|
| Company profile | LinkedIn lists Evidently AI as a privately held software-development company headquartered in San Francisco, with 2–10 employees and a 2020 founding year. | Comet is a privately held software-development company headquartered in New York with 51–200 employees and a 2017 founding year. |
| Integrations | Documented integration examples cover Jupyter and Colab, Streamlit, MLflow, DVCLive, Airflow, Metaflow, FastAPI, PostgreSQL, Prefect, Grafana, Prometheus and AWS SES. | The integration catalog covers TypeScript, Python, Java, .NET and Ruby ecosystems plus no-code tools and OpenTelemetry. |
| Open source | The Evidently framework is fully open-source under the Apache 2.0 license. | The core observability and evaluation feature set is available as open-source code that users can download and run locally. |
| Purpose | Evidently evaluates, tests, and monitors LLMs, RAG applications, AI agents, and machine-learning models. | Opik logs agent actions and provides automated evaluation workflows to find and fix errors across development, testing, and production. |
| Rating on G2 | 5.0 out of 5 from 1 review | No rating; 0 reviews listed for Opik |
| Self-hosting | A local or remote Evidently service can be run with filesystem, SQLite, Postgres or other SQL-like storage, plus S3-compatible backends. | Self-hosting exposes the full feature set but omits user-management features; local Docker installation is for getting started, while Kubernetes is the production deployment option. |
| Support | Community support is provided through Discord, GitHub issue reporting, documentation, courses and direct email contact. | The pricing page lists community and self-service support across plans, email support for Pro and Enterprise, and dedicated support and SLAs for Enterprise. |
| Tracing | Open-source tracing records inputs, outputs, intermediate events and function calls, and allows traces to be exported as tabular datasets. | The platform captures and visualizes multi-step agent execution, including LLM calls, tools and retrieval steps. |
Evidently AI plans
- DeveloperFree
- Open-sourceFree
- Pro$80 a month
- EnterprisePriced on request
- StartupsPriced on request
Opik plans
- Free CloudFree
- Open SourceFree
- Pro Cloud$19 a month
- EnterprisePriced on request
Pick Evidently AI if…
It suits teams evaluating or monitoring AI applications and predictive ML models, including those that want open-source tooling or a hosted platform. Its synthetic-data and red-team capabilities may also suit teams assessing adversarial inputs and risks.
Pick Opik if…
Opik is for teams building LLM applications or agents that need tracing, evaluation, and production monitoring. Its free plans are described as suitable for development and testing.