
Deepchecks
8.1#3 in machine learning model monitoring softwareFree planFree planWebAPILinuxmacOS
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| Fact | Deepchecks | Evidently AI |
|---|---|---|
| Company profile | LinkedIn lists Deepchecks as a privately held software-development company founded in 2019 with 11–50 employees and now within Check Point. | LinkedIn lists Evidently AI as a privately held software-development company headquartered in San Francisco, with 2–10 employees and a 2020 founding year. |
| Integrations | The integrations page describes Deepchecks integrations with pytest, Apache Airflow, ZenML, and CML. | Documented integration examples cover Jupyter and Colab, Streamlit, MLflow, DVCLive, Airflow, Metaflow, FastAPI, PostgreSQL, Prefect, Grafana, Prometheus and AWS SES. |
| Rating on G2 | Deepchecks scores 4.4 out of 5 from 22 reviews. | 5.0 out of 5 from 1 review |
Deepchecks suits teams that need to evaluate and monitor AI systems in production, compare versions, and investigate application behavior. Its deployment options and listed security provisions may also suit organizations with specific infrastructure or compliance needs.
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.