Evidently AI vs OpenLLMetry
Evidently AI
evidentlyai.comOpenLLMetry
traceloop.comSide by side
| Figure | Evidently AI | OpenLLMetry |
|---|---|---|
| Price from | $80/mo | — |
| Free plan | Yes | — |
| Free trial | Yes | — |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 5 | 2 |
| Spec score · LLM Observability Tools | 9.3 (#2) | 6.9 (#26) |
| 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. |
Plans
Evidently AI
- DeveloperFree
- Open-sourceFree
- Pro$80 a month
- EnterprisePriced on request
- StartupsPriced on request
In their own words
Evidently AI
Evidently AI evaluates, tests, and monitors LLMs, RAG applications, AI agents, and machine-learning models. Its open-source Python framework is licensed under Apache 2.0 and provides more than 100 evaluation metrics. Automated evaluations measure output quality, safety, and reliability, can run in pipelines, and produce visual reports. The platform includes tracing, storage for application data and evaluation runs, test-dataset management, and dashboards. Teams can generate realistic, edge-case, or adversarial inputs tailored to a use case. Live monitoring tracks quality checks and can surface drift, regressions, and emerging risks. Red-team testing targets jailbreaks, prompt injections, data leaks, harmful content, and prompt leakage. Predictive ML workflows include performance, drift, and data-quality metrics. Evidently Cloud can send alerts to Slack, Discord, and email. Open-source support is through Discord and documentation; Pro includes email support. The Developer plan is free and limited to 10,000 rows per month, 1GB of snapshots, 3 projects, and 2 seats. Pro costs $80 a month, with additional rows and storage charged separately.
OpenLLMetry
OpenLLMetry has no write-up on Specifiction yet; its figures are above.