Deepchecks
8.1#3 in machine learning model monitoring softwareFree planFree planWebAPILinuxmacOS
VisitDeepchecks vs NannyML
NannyML
7.9#4 in machine learning model monitoring softwareFrom $99 a monthFree planWebAPILinuxSelf-hosted
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| Fact | Deepchecks | NannyML |
|---|---|---|
| Data locality | For its AWS-managed deployment, the site says in-app data and artifacts do not leave the environment perimeter. | For the managed-application deployment, NannyML says the application and required infrastructure are provisioned within the customer's Azure or AWS subscription. |
| Funding | TechCrunch reported a $14 million seed round announced June 15, 2023, combining $4.4 million pre-seed and $9.5 million seed tranches. | An October 2024 European Innovation Council list names NannyML NV's EU-AURA project for blended finance funding consideration. |
| Installation | The testing library installs with pip or conda and offers NLP and vision extras. | The open-source library can be installed with pip, Conda, Docker or directly from the Git repository. |
| Integrations | The integrations page describes Deepchecks integrations with pytest, Apache Airflow, ZenML, and CML. | NannyML Cloud is offered through both Azure Marketplace and AWS Marketplace. |
| Rating on G2 | Deepchecks scores 4.4 out of 5 from 22 reviews. | No public NannyML rating; 0 reviews listed |
Deepchecks plans
- Open-Source MonitoringFree
- Startup MonitoringPriced on request
- Dedicated MonitoringPriced on request
- EnterprisePriced on request
- BasicPriced on request
- Partnership MonitoringPriced on request
NannyML plans
- Open SourceFree
- Starter (beta)$99 a month
- Starter$399 a month
- Scale$999 a month
- Pro (beta)$3,800 a month
- EnterprisePriced on request
Pick Deepchecks if…
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.
Pick NannyML if…
NannyML suits teams that need to monitor deployed models when ground truth is delayed or absent, and connect model performance with business outcomes. It can also suit teams looking for self-managed open-source installation or Cloud deployment.