NannyML is an open-source python library for estimating post-deployment model performance (without access to targets), detecting data drift, and intelligently link data drift alerts back to changes in model performance. Built for data scientists, NannyML has an easy-to-use interface, interactive visualizations, is completely model-agnostic and currently supports all tabular use cases, classification, and regression. Key features: - Performance Estimation (without access to targets) and Calculation - Business Value Estimation and Calculation - Data Quality - Multivariate Drift Detection To get started, check our GitHub ⚡️
| Website | https://www.nannyml.com/ |
| Employees | 30 (11 on RocketReach) |
| Founded | 2020 |
| Phone | +32 468 18 04 83 |
| Technologies |
JavaScript
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HTML
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PHP
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| Industry | Software Development, Business/Productivity Software, IT Consulting and Outsourcing |
| Keywords | Machine Learning Monitoring, Ai Model Monitoring, Model Risk Management, Data Quality Monitoring, Data Science Tools, Machine Learning Observability |
| Competitors | Microsoft, Google, SAS, DataRobot, Dataiku, Alteryx, TIBCO Streaming, H2O.ai, Data Science Leaders Podcast, Altair RapidMiner +39 more (view full list) |
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11 people are employed at NannyML.
NannyML is based in Leuven, Flanders.
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