NannyML

Input—per 1M tokens

Output—per 1M tokens

Context—tokens

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About

NannyML is ranked #14 of 24 in model monitoring software on Inferse. It runs on API, Linux, Self-hosted, Web. There is a free plan. A free trial is offered. Paid plans start at $399/mo.

Compared on model monitoring software

Free plan: Yesnannyml.com
Paid from: $99/monannyml.com
Drift monitoring: Yesnannyml.com
Model performance metrics: Yesnannyml.com
Data quality checks: Yesnannyml.com
Alert channels: email, Slack, webhooknannyml.com
Included model limit: 2 modelsnannyml.com

Facts

Purpose: NannyML monitors deployed machine-learning models and estimates model performance even when ground truth is delayed or absent.nannyml.com · 29 Sept 2026
Drift monitoring: NannyML detects concept drift and multivariate and univariate data drift, and relates drift alerts to changes in model performance.nannyml.com · 29 Sept 2026
Business impact: NannyML lets users tie model performance to monetary or business-oriented outcomes.nannyml.com · 29 Sept 2026
Root cause: Its monitoring workflow includes data-quality checks and ranks drift alerts to help identify features associated with performance issues.nannyml.com · 29 Sept 2026
Automation: NannyML Cloud supports webhooks to trigger retraining actions and an SDK to automate monitoring data ingestion.nannyml.com · 29 Sept 2026
Cloud marketplaces: NannyML Cloud is available through the Azure and AWS marketplaces, with SaaS and managed-application deployment options.docs.nannyml.com · 29 Sept 2026
Data locality: For the managed-application deployment, NannyML says the application and required infrastructure are provisioned within the customer's Azure or AWS subscription.docs.nannyml.com · 29 Sept 2026
Security: For its Azure managed application, NannyML documents TLS-encrypted traffic, Azure-managed disks encrypted by default, and support-team access only after customer approval.docs.nannyml.com · 29 Sept 2026
Security limitation: NannyML's Azure managed-application engineering page says automated backups were still being implemented and advises customers to safeguard model inputs and outputs elsewhere.docs.nannyml.com · 29 Sept 2026
Support: The pricing page lists email support for Starter, private Slack for Scale, and 24/7 support for Enterprise.nannyml.com · 29 Sept 2026
Input limits: The Cloud UI accepts direct local dataset uploads only when the file is smaller than 100 MB.docs.nannyml.com · 29 Sept 2026
Open-source install: The open-source library can be installed with pip or conda.nannyml.com · 29 Sept 2026
Company mission: NannyML describes its work as building a post-deployment data-science toolkit for monitoring what matters after model deployment.nannyml.com · 29 Sept 2026