Evidently AI
8.3#2 in machine learning model monitoring softwareFrom $80 a monthFree planWebAPILinuxmacOS
VisitEvidently AI vs SUPERWISE
SUPERWISE
7.8#5 in machine learning model monitoring softwareFrom $9 a monthFree planWebAPIExtensionLinux
VisitWhat both publish
| Fact | Evidently AI | SUPERWISE |
|---|---|---|
| Integrations | Documented integration examples cover Jupyter and Colab, Streamlit, MLflow, DVCLive, Airflow, Metaflow, FastAPI, PostgreSQL, Prefect, Grafana, Prometheus and AWS SES. | The platform connects through REST APIs, the superwise-api SDK and Flowise external-agent registration. |
| Purpose | Evidently evaluates, tests, and monitors LLMs, RAG applications, AI agents, and machine-learning models. | SUPERWISE AMP is an AI governance control plane between AI applications and models that observes interactions and enforces policies. |
| Rating on G2 | 5.0 out of 5 from 1 review | 4.0 out of 5 from 2 reviews. |
| Rating on GetApp | 0 out of 5 from 0 reviews | 4.6 out of 5 from 7 reviews, with the page likewise categorizing SuperWise as construction-management software. |
Evidently AI plans
- DeveloperFree
- Open-sourceFree
- Pro$80 a month
- EnterprisePriced on request
- StartupsPriced on request
SUPERWISE plans
- Chat SoloFree
- Chat Professional$9 a month
- Solo$10 a month
- Sentinel Solo$10 a month
- Pro$25 a month
- Sentinel Pro$25 a month
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 SUPERWISE if…
AMP is aimed at engineers and AI teams building LLM applications and agents, including organizations in healthcare, finance, legal, and manufacturing. Sentinel may suit users seeking local prompt inspection and redaction.