Evidently AI
8.3#2 in machine learning model monitoring softwareFrom $80 a monthFree planWebAPILinuxmacOS
VisitEvidently AI vs Qualdo-MQX
Qualdo-MQX
6.6#19 in model monitoring softwareFrom $79 a monthFree planWebAPISelf-hosted
VisitWhat both publish
| Fact | Evidently AI | Qualdo-MQX |
|---|---|---|
| Integrations | Documented integration examples cover Jupyter and Colab, Streamlit, MLflow, DVCLive, Airflow, Metaflow, FastAPI, PostgreSQL, Prefect, Grafana, Prometheus and AWS SES. | The product page says it integrates with AI, machine-learning, and notification tools but does not name them there. |
| Purpose | Evidently evaluates, tests, and monitors LLMs, RAG applications, AI agents, and machine-learning models. | Qualdo-MQX monitors ML model performance, model errors, and data quality issues. |
| Support | Community support is provided through Discord, GitHub issue reporting, documentation, courses and direct email contact. | Starter lists email and chat support, while Professional lists email, chat, and phone support. |
Evidently AI plans
- DeveloperFree
- Open-sourceFree
- Pro$80 a month
- EnterprisePriced on request
- StartupsPriced on request
Qualdo-MQX plans
- Starter$79 a month
- Professional$295 a month
- Free—
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 Qualdo-MQX if…
Qualdo-MQX suits teams that need to monitor model quality and performance across supported model types and cloud ecosystems. Its varied deployment options and listed database support may fit organizations with different infrastructure needs.