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NannyML

NannyML

NannyML (Soda)

Python library capable of fully capturing the impact of data drift on performance. Allows estimation of post-deployment model performance without access to targets.

Updated 7h ago
FreemiumData Analysis⚑ 62

About NannyML

NannyML Cloud is an ML model monitoring platform, recently joining forces with Soda, that estimates model performance in real time without requiring ground-truth labels β€” using research-driven performance-estimation techniques β€” with enterprise clients including Walmart, TUI, Allianz, and UBS. It detects both concept drift and data drift with granular univariate and multivariate analysis, ranks alerts by linking data drift to actual performance impact (reducing false alarms rather than flooding teams with noise), triggers retraining actions automatically via webhooks, and deploys securely inside a customer's own cloud infrastructure. A free trial and demo booking are both available; specific pricing tiers require checking the pricing page. Good fit for an ML team running models in production that wants to know when performance is actually degrading β€” not just when input data statistically drifts β€” without waiting for delayed or absent ground-truth labels.

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Key Information

Pricing
Freemium
Free Trial
No
API Access
No
Category
Data Analysis
Developer
NannyML (Soda)
Last Updated
7h ago
Website Status
Online
Website
bit.ly
Documentation
View Docs

Features

Ground-truth-free ML performance estimation
Concept drift and data drift detection
Alert ranking by real performance impact
Automated retraining triggers via webhooks
Deploys inside customer cloud infrastructure
Used by Walmart, TUI, Allianz, UBS

Pricing

Freemium
Free to start, with paid plans for additional features.

Frequently Asked Questions

NannyML offers a free plan, with paid tiers for more features.

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Visit the official website and see what NannyML can do for you.

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