Evidently AI
8.3#2 in machine learning model monitoring softwareFrom $80 a monthFree planWebAPILinuxmacOS
VisitEvidently AI vs OpenLLMetry
OpenLLMetry
6.1#25 in llm observability toolsFree planFree planWebAPISelf-hosted
VisitWhat both publish
| Fact | Evidently AI | OpenLLMetry |
|---|---|---|
| Purpose | Evidently evaluates, tests, and monitors LLMs, RAG applications, AI agents, and machine-learning models. | OpenLLMetry is an open source project for monitoring and debugging LLM app execution, with non-intrusive tracing built on OpenTelemetry. |
| Self-hosting | A local or remote Evidently service can be run with filesystem, SQLite, Postgres or other SQL-like storage, plus S3-compatible backends. | Traceloop says it supports on-premise deployment in AWS, GCP, Azure, Kubernetes, air-gapped, and other restricted environments. |
| Support | Community support is provided through Discord, GitHub issue reporting, documentation, courses and direct email contact. | The Enterprise plan includes dedicated Slack support. |
Evidently AI plans
- DeveloperFree
- Open-sourceFree
- Pro$80 a month
- EnterprisePriced on request
- StartupsPriced on request
OpenLLMetry plans
- EnterprisePriced on request
- Free Forever—
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 OpenLLMetry if…
It suits teams building LLM applications that need tracing, token-cost tracking, or debugging across providers and frameworks. Self-hosting options fit organizations with on-premise or restricted deployments.